In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through the (...) practices traditionally used in spiritual traditions, but now used increasingly in other fields of knowledge work, such as in the medical profession and the education field. Historically, the intellectual capabilities of software engineers have been treated as a given within any particular software development effort. This is argued to be an aspect ripe for inclusion within software development methodologies. (shrink)

What does thinking mean in the age of Artificial Intelligence? How is big-scale computation transforming the way our brains function? This collection discusses these pressing questions by looking beyond instrumental rationality. Exploring recent developments as well as examples from the history of cybernetics, the book uncovers the positive role played by errors and traumas in the construction of our contemporary technological minds. With texts by Benjamin Bratton, Orit Halpern, Adrian Lahoud, Jon Lindblom, Catherine Malabou, Reza Negarestani, Luciana Parisi, Matteo (...) Pasquinelli, Ana Teixeira Pinto, Michael Wheeler, Charles Wolfe, and Ben Woodard. (shrink)

Augmented Reality (AR), driven by Artificial Intelligence (AI), is transforming how we interact with the world. Recent technologies, like AI-powered smart glasses, are increasingly blending the physical and digital realms. While AR presents exciting new possibilities, it also raises deeper philosophical questions about what we consider reality.

This paper offers an overview of the prospects and ethics of using AI to achieve human enhancement, and more broadly what we call intellectual augmentation (IA). After explaining the central notions of human enhancement, IA, and AI, we discuss the state of the art in terms of the main technologies for IA, with or without brain-computer interfaces. Given this picture, we discuss potential ethical problems, namely inadequate performance, safety, coercion and manipulation, privacy, cognitive liberty, authenticity, and fairness in more detail. (...) We conclude that while there are very significant technical hurdles to real human enhancement through AI, and significant ethical problems, there are also significant benefits that may realistically be achieved in ways that are consonant with a rights-based ethics as well. We also highlight the specific concerns that apply particularly to applications of AI for "sheer" IA (more realistic in the near term), and to enhancement applications, respectively. (shrink)

In the era of big data and distributed ecosystems, understanding the origin, flow, and transformation of data across complex infrastructures is critical for ensuring transparency, accountability, and informed decision-making. As data-driven enterprises increasingly rely on hybrid cloud architectures, data lakes, and real-time pipelines, the complexity of tracking data movement and transformations grows exponentially. Traditional data lineage solutions, often based on static metadata extraction or rule-based approaches, are insufficient in dynamically evolving environments and fail to provide granular, context-aware insights. This research (...) introduces an AI-augmented, cognitive graph-based framework for autonomous data lineage, designed to enhance data traceability in large-scale and heterogeneous data ecosystems. The framework leverages cutting-edge machine learning (ML), natural language processing (NLP), and graph-based reasoning techniques to enable intelligent discovery, semantic interpretation, and continuous monitoring of data assets throughout their lifecycle. The core of the solution lies in the construction of a dynamic cognitive graph that represents relationships between datasets, processes, systems, and users, enriched with contextual annotations and temporal dimensions. Our architecture incorporates self-learning mechanisms, enabling adaptive lineage discovery and automated anomaly detection. By applying reinforcement learning and stream analytics, the framework not only maps data flows in real time but also evolves with system changes, schema variations, and business logic updates. It provides both forward and backward traceability, supports impact analysis, and enhances compliance auditing capabilities. Furthermore, our system is capable of processing both structured and unstructured metadata, employing advanced NLP models to extract implicit lineage information from data dictionaries, SQL queries, and documentation. The result is a holistic, intelligent, and scalable data lineage solution that reduces manual intervention, mitigates operational risks, and supports regulatory compliance frameworks such as GDPR, HIPAA, and SOX. Experimental evaluations conducted in hybrid cloud environments using tools such as Apache Kafka, Neo4j, Spark, and Python-based ML libraries demonstrate a significant improvement in lineage coverage, anomaly detection accuracy, and system scalability. Compared to conventional lineage tools, our AI-augmented framework delivers a 30% increase in traceability precision and a 40% reduction in manual effort required for lineage tracking and governance. This research lays the foundation for a new paradigm in data governance, where AI not only enhances observability but enables autonomous cognition within data infrastructure. The framework is poised to play a critical role in enabling data democratization, operational agility, and enterprise-wide data literacy. (shrink)

Abstract. Recent developments, both in the cognitive sciences and in world events, bring special emphasis to the study of morality. The cognitive sci- ences, spanning neurology, psychology, and computational intelligence, offer substantial advances in understanding the origins and purposes of morality. Meanwhile, world events urge the timely synthesis of these insights with tra- ditional accounts that can be easily assimilated and practically employed to augment moral judgment, both to solve current problems and to direct future action. The object of (...) the following paper is to present such a synthesis in the form of a model of moral cognition, the ACTWith model of conscience. The purpose of the model is twofold. One, the ACTWith model is intended to shed light on personal moral dispositions, and to provide a tool for actual human moral agents in the refinement of their moral lives. As such, it re- lies on the power of personal introspection, bolstered by the careful study of moral exemplars available to all persons in all cultures in the form of literary or religious figures, if not in the form of contemporary peers and especially leadership. Two, the ACTWith model is intended as a minimum architec- ture for fully functional artificial morality. As such, it is essentially amodal, implementation non-specific and is developed in the form of an information processing control system. There are given as few hard points in this sys- tem as necessary for moral function, and these are themselves taken from review of actual human cognitive processes, thereby intentionally capturing as closely as possible what is expected of moral action and reaction by hu- man beings. Only in satisfying these untutored intuitions should an artificial agent ever be properly regarded as moral, at least in the general population of existing moral agents. Thus, the ACTWith model is intended as a guide both for individual moral development and for the development of artificial moral agents as future technology permits. (shrink)

Defining Artificial Intelligence and Artificial General Intelligence remain controversial and disputed. They stem from a longer-standing controversy of what is the definition of consciousness, which if solved could possibly offer a solution to defining AI and AGI. Central to these problems is the paradox that appraising AI and Consciousness requires epistemological objectivity of domains that are ontologically subjective. I propose that applying the philosophy of art, which also aims to define art through a lens of epistemological objectivity where (...) the domains are ontologically subjective, can further elucidate this unsolved question. In this sense, Art and AI and ultimately consciousness are multifaceted domains where conventional complexity theory and current philosophical approaches may be augmented by aesthetic principles ranging from classical Aristotelian essentialism to Wittgensteinian anti-essentialism. This approach of AI as art may offer novel solutions to characterising and elucidating the ciphers of consciousness and AI. (shrink)

Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting substantial dangers to the data, (...) reputation, and financial stability of enterprises. Conventional security methods can become inadequate when confronted with ever intricate and dynamic threats. Artificial Intelligence (AI) technologies possess the capacity to significantly transform cloud security through their ability to promptly identify and thwart assaults, adjust to emerging risks, and offer intelligent perspectives for proactive security actions. The objective of this research study is to investigate the utilization of AI technologies in augmenting the security measures within cloud computing systems. This paper aims to offer significant insights and recommendations for businesses seeking to protect their cloud-based assets by analyzing the present state of cloud security, the capabilities of AI, and the possible advantages and obstacles associated with using AI into cloud security policies. (shrink)

This paper examines the ontological and epistemological implications of artificial intelligence (AI) through posthumanist philosophy, integrating the works of Deleuze, Foucault, and Haraway with contemporary computational methodologies. It introduces concepts such as negative augmentation, praxes of revealing, and desedimentation, while extending ideas like affirmative cartographies, ethics of alterity, and planes of immanence to critique anthropocentric assumptions about identity, cognition, and agency. By redefining AI systems as dynamic assemblages emerging through networks of interaction and co-creation, the paper challenges traditional dichotomies (...) such as human versus machine and subject versus object. Bridging analytic and continental philosophical traditions, the analysis unites formal tools like attribution analysis and causal reasoning with the interpretive and processual methodologies of continental thought. This synthesis deepens the understanding of AI’s epistemic and ethical dimensions, expanding philosophical inquiry while critiquing anthropocentrism in AI design. The paper interrogates the spatial foundations of AI, contrasting Euclidean and non-Euclidean frameworks to examine how optimization processes and adversarial generative models shape computational epistemologies. Critiquing the reliance on Euclidean spatial assumptions, it positions alternative geometries as tools for modeling complex, recursive relationships. Furthermore, the paper addresses the political dimensions of AI, emphasizing its entanglements with ecological, technological, and sociopolitical systems that perpetuate inequality. Through a politics of affirmation and intersectional approaches, it advocates for inclusive frameworks that prioritize marginalized perspectives. The concept of computational qualia is also explored, highlighting how subjective-like dynamics emerge within AI systems and their implications for ethics, transparency, and machine perception. Finally, paper calls for a posthumanist framework in AI ethics and safety, emphasizing interconnectivity, plurality, and the transformative capacities of machine intelligence. This approach advances epistemic pluralism and reimagines the boundaries of intelligence in the digital age, fostering novel ontological possibilities through the co-creation of dynamic systems. (shrink)

In the chapter alarmist ideas that exponential development of technologies is an exceptional source of the crisis of modern civilization are considered and reasonably questioned. The role of tools in the establishment of human and technologies is underlined, including information and computative processes in the formation of the modern culture. The role of information processes in nature and culture is explored, which enables us to make a conclusion that technologies including artificial intelligence and intelligent robotics are a compile and (...) an integral part of a human being. The role of algorithms as a deep basis of crisis events due to the new opportunities of a dialogue between the machine and the human and the Transition of information without a cultural context in human-machine system is justified. Various ways to overcome crisis events whilst human transformation are offered. Firstly it is the augmentation of human possibilities with the help of exoprosthetic devices or exocortexes which broaden physical and cognitive capabilities. Secondly it is the transformation of technologies basing on deep social and humanitarian research which demand expert answers to vital questions of using the developing technologies. The use of technologies is analyzed from the position of postneoclassic rationality and in this framework an attempt is taken to use postturing methodology which was used before on the example of intellectual robitics. There is also shown an opportunity to broaden the sphere of using this postturing methodology in the other kinds of technology, because gradually the ingress of artificial intelligence into all the tools of human activity will make any tool "an intellectual robot". The use of postturing methodology will enable to break a fundamental barrier which divides a human and a machine which will make the interaction of human and machine more effective and less antagonistic. To the further discussion a theological ground of technogenic civilization as creating an opportunity for life to overcome biological barriers and watch the change of cosmic scale is brought. Such ground enables to save the main achievement of the mankind - the culture. (shrink)

Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.

An emerging field operating at the intersection of artificial intelligence, materials science, physical chemistry, and nanotechnology targets the creation of intelligent matter. However, despite demonstration of a range of interesting behaviours in molecular systems and soft materials, the goal of producing truly intelligent matter remains elusive. To aid the research effort, Kaspar and colleagues have elaborated a theoretical framework which purports to guide and evaluate progress towards the goal. In this paper, I address foundational conceptual issues with this intelligent (...) matter framework. In particular, I argue that the absence of a normative criterion by which to assess the behaviour of proto-intelligent material systems prevents the framework from adequately serving its guiding and evaluative functions. Without a clear specification of what kinds of behaviours count as intelligent in the first place, researchers are unlikely to develop material systems that exhibit them. I propose to augment the IMF with a normative criterion requiring that purportedly intelligent systems implement concrete behaviours which contribute towards higher-order goals in virtue of the coordinated activity of their functional elements. (shrink)

This paper examines the ontological and epistemological implications of artificial intelligence (AI) through posthumanist philosophy, integrating the works of Deleuze, Foucault, and Haraway with contemporary computational methodologies. It introduces concepts such as negative augmentation, praxes of revealing, and desedimentation, while extending ideas like affirmative cartographies, ethics of alterity, and planes of immanence to critique anthropocentric assumptions about identity, cognition, and agency. By redefining AI systems as dynamic assemblages emerging through networks of interaction and co-creation, the paper challenges traditional dichotomies (...) such as human versus machine and subject versus object. Bridging analytic and continental philosophical traditions, the analysis unites formal tools like attribution analysis and causal reasoning with the interpretive and processual methodologies of continental thought. This synthesis deepens the understanding of AI’s epistemic and ethical dimensions, expanding philosophical inquiry while critiquing anthropocentrism in AI design. The paper interrogates the spatial foundations of AI, contrasting Euclidean and non-Euclidean frameworks to examine how optimization processes and adversarial generative models shape computational epistemologies. Critiquing the reliance on Euclidean spatial assumptions, it positions alternative geometries as tools for modeling complex, recursive relationships. Furthermore, the paper addresses the political dimensions of AI, emphasizing its entanglements with ecological, technological, and sociopolitical systems that perpetuate inequality. Through a politics of affirmation and intersectional approaches, it advocates for inclusive frameworks that prioritize marginalized perspectives. The concept of computational qualia is also explored, highlighting how subjective-like dynamics emerge within AI systems and their implications for ethics, transparency, and machine perception. Finally, the paper calls for a posthumanist framework in AI ethics and safety, emphasizing interconnectivity, plurality, and the transformative capacities of machine intelligence. This approach advances epistemic pluralism and reimagines the boundaries of intelligence in the digital age, fostering novel ontological possibilities through the co-creation of dynamic systems. (shrink)

Among the many common criticisms of the Turing test, a valid criticism concerns its scope. Intelligence is a complex and multi-dimensional phenomenon that will require testing using as many different formats as possible. The Turing test continues to be valuable as a source of evidence to support the inductive inference that a machine possesses a certain kind of intelligence and when interpreted as providing a behavioural test for a certain kind of intelligence. This paper raises the novel (...) criticism that the Turing test represents an example of Goodhart’s Law operating in the field of artificial intelligence. As one measure towards the goal of creating genuinely intelligent machines, the Turing test must not be confused with the goal itself. Moreover, the Turing test ought to be augmented such that through its use additional evidence could be secured to support the strong inference that a machine, were it to pass the Turing Test, could think like a human. (shrink)

The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...) as just judge, a guardian who monitors and judges from above all the actions of the commoners, a controller for the faithful application of laws in Crete [1]. Hesychios in his Lexicon notes that talos means sun and that the name Tallaios was initially attributed to Zeus [2]. The birth of the Olympian gods forged a new Pantheon and nomenclature forcing some of the old gods to fell into lower deities. This happened to Talos who soon became a mythical hero [1]. According to Apollodorus, the bronze creature was forged by the magnificent constructor Hephaestus as a gift to the mythical King Minoa to help him guard the island [3]. Although the verb “peritrohazo” (Greek: περιτροχαζω) was used, meaning a movement in a steady orbit (track), some depictions image him as a winged being. To protect the island, he was throwing rocks into unknown ships or in the case of a foreign landing he was burning with fire or with his flamed bronze body the intruders. He was holding copper plates with the laws of the island and his circle allowed him to pass all island sores three times daily [1,4-6]. Plato, speaks of him as a real person, suggesting he was the brother of King Rhadamanthys, thus a son of Zeus [5]. Talos may be considered as the token of the Cretan power, a symbol of technological development in the field of metalworking in prehistoric and Minoan times. An animated, programmed gigantic android to enforce its will. A primitive robot for basic actions having a power source, fire and ichor (Greek: ιχώρ) the sacred fluid in the vessels of the gods. The first manufactured being with his individual intelligence, a primary concept of artificial intelligence (AI) [7]. -/- Homer was the first to introduce the term automata (Greek: αυτόματα), to describe ingenious machines built by the supreme blacksmith god of invention and technology, God of metal and fire, Hephaestus, manufactured devices “acting of one’s own will” as the Hellenic word indicates [8]. Eons later, the humanoid automaton the “Automa cavaliere” (English: Automaton knight) appeared in the court of the nobleman and Duke of Milan Ludovico Maria Sforza. It was the year 1495, when Leonardo da Vinci presented his robotic knight, an innovative construction operated by a series of pulleys and cables, presenting though no individual mind. Although it was manufactured by a highly intelligent polymath, it could only be operated through an outer intelligence [9]. Advancements made during the Fourth Industrial Revolution allowed modern technology to manufacture intelligent machines to aid the field of invasive surgery. One of those most sophisticated devises is the da Vince Surgical Tower. -/- Launched in the setting of the 21st century, the DaVinci System is one of the most commonly employed tools/systems, which has prevailed in the field of robotic-assisted surgery [10]. One could claim that it practically reshaped the concept of surgery, providing doctors with immense capabilities, aiming towards the optimal post-operative outcome. Through visual augmentation, high resolution 3D video, enhanced precision and reduced complication rates [11] the DaVinci Si and the latest DaVinci Xi system have been implemented in a variety of surgeries, including but not limited to general, urologic, gynecologic, thoracic and even cardiac procedures; valve and coronary artery bypass graft operations [12,13]. Da Vinci is cleared globally for cardiosurgery and came in vogue to fulfill the dream of cardiac surgeons to operate in closet chest. It offers in patients the same benefits as those that open chest incision surgery procedures do [14]. -/- The more recent DaVinci Xi model was introduced to counteract commonly known drawbacks of the Si system, such as the inability to simultaneously manipulate the different abdominal quadrants [10]. It consists of four boom mounted robotic arms along with a mobile platform and a master console. The latter with the adaptable intraocular distance, the cushioned headrest, the modifiable arm bars and the flexible finger loops, is meticulously designed to meet the surgeon´s “demands” [12]. Every robotic arm has three degrees of freedom, which combined with the EndoWrist technology to imitate the delicate motion of the surgeon´s hand, acquires an extra seven degrees of freedom. Evidently, the combination of the user-friendly interface, the high-quality 3D intraoperative images, the multiple joints and sensors, as well as the surgeon himself, who can learn to handle the DaVinci Xi Surgical System in a relatively short period of time, has established the model in the surgical armamentarium, paving the way towards a continuously progressive future of minimally invasive and robotic surgery (Figure 1) [12]. -/- History testifies that the nomination of the AI surgical tower as da Vinci was wrongfully given to commemorate a majestic historical figure. It is clear that the mythical creature Talos which was fabricated by the ingenious god Hephaestus was the first true automaton in the line of AI origins. (shrink)

The proposed system allows users to monitor and control various home appliances, security systems, and environmental controls through AR interfaces, which overlay digital information on the physical environment. IoT devices communicate with each other and with the AR system, providing real-time data and enabling automated responses based on user preferences or environmental conditions. This synergy between AR and IoT facilitates a more responsive and intelligent home environment that adapts to the needs of its occupants.

In this paper, we focus on the most efficacious AI applications for life extension and anti-aging at three expected stages of AI development: narrow AI, AGI and superintelligence. First, we overview the existing research and commercial work performed by a select number of startups and academic projects. We find that at the current stage of “narrow” AI, the most promising areas for life extension are geroprotector-combination discovery, detection of aging biomarkers, and personalized anti-aging therapy. These advances could help currently living (...) people reach longevity escape velocity and survive until more advanced AI appears. When AI comes close to human level, the main contribution to life extension will come from AI integration with humans through brain-computer interfaces, integrated AI assistants capable of autonomously diagnosing and treating health issues, and cyber systems embedded into human bodies. Lastly, we speculate about the more remote future, when AI reaches the level of superintelligence and such life-extension methods as uploading human minds and creating nanotechnological bodies may become possible, thus lowering the probability of human death close to zero. We suggest that medical AI based superintelligence could be safer than, say, military AI, as it may help humans to evolve into part of the future superintelligence via brain augmentation, uploading, and a network of self-improving humans. Medical AI’s value system is focused on human benefit. (shrink)

The paper proposes a synthesis between human scientists and artificial representation learning models as a way of augmenting epistemic warrants of realist theories against various anti-realist attempts. Towards this end, the paper fleshes out unconceived alternatives not as a critique of scientific realism but rather a reinforcement, as it rejects the retrospective interpretations of scientific progress, which brought about the problem of alternatives in the first place. By utilising adversarial machine learning, the synthesis explores possibility spaces of available evidence for (...) unconceived alternatives providing modal knowledge of what is possible therein. As a result, the epistemic warrant of synthesised realist theories should emerge bolstered as the underdetermination by available evidence gets reduced. While shifting the realist commitment away from theoretical artefacts towards modalities of the possibility spaces, the synthesis comes out as a kind of perspectival modelling. (shrink)

In the contemporary era of urban design, the advent of big data and digital technologies has ushered in innovative approaches to exploring urban spaces. This study focuses on the application of Augmented Reality (AR) and Extended Reality (XR) technologies in the metropolitan areas of Houston and Amsterdam. These technologies create immersive 'Phygital Installations' that blend physical and digital elements, effectively capturing people's perceptions and enhancing urban design proposals. By fostering human-centered planning, AR and XR technologies make urban design more (...) interactive and accessible to the public. Houston, with its rapid industrial growth and diverse socio-economic landscape, provides a unique setting to examine the impacts of these technologies on urban form and socio-environmental dynamics. In contrast, Amsterdam, with its rich historical layers and socio-cultural diversity, offers insights into the integration of AR/XR technologies in urban planning, particularly in the realm of historical preservation and contemporary urban development. This research contributes to the emerging field of AR/XR in urban design by highlighting the transformative potential of these technologies in enhancing the understanding and engagement in urban design and spatial planning. (shrink)

We increasingly rely on AI-related applications (smart technologies) to perform tasks that would be simply impossible by un-aided or un-augmented human intelligence. This is possible because the world is becoming an infosphere increasingly well adapted to AI’s limited capacities. Being able to imagine what adaptive demands this process will place on humanity may help to devise technological solutions that can lower their anthropological costs.

When this article was first planned, writing was going to be exclusively about two things - the origin of life and human evolution. But it turned out to be out of the question for the author to restrict himself to these biological and anthropological topics. A proper understanding of them required answering questions like “What is the nature of the universe – the home of life – and how did it originate?”, “How can time travel be removed from fantasy and (...) science fiction, to be made scientific and practical?”, and “How can the proposed young age of genus Homo be made to actually be reasonable – when simply stating it would be solid ground for instant rejection and dismissal?” The result is that the article also talks about subjects like Artificial Intelligence, General Relativity, and cosmology. -/- From where did life originate? God? Evolution? Panspermia? If the tendency of humans and scientists to regard undiscovered science as pseudoscience can be overcome, Einstein gave another alternative to consider when he introduced General Relativity. Time isn’t linear – progressing in a straight line from past to present to future. That assumption ignores Relativity which states that space AND TIME are curved. Where did life and the genetic code come from? Can the answer build AI? -/- The first question can be answered by the section of this article titled SETI, Evolution, and Time which says life (possibly multicellular and intelligent) and the genetic code came from humans acquiring knowledge of these things over the centuries, then applying that knowledge – via terraforming, accumulation of raw materials like amino acids and nucleic acids, genetic engineering - to a time in the past when life didn’t exist. From that origin, life evolved through innumerable mutations and adaptations, with humans once again acquiring knowledge of it in cyclic (nonlinear) time. -/- The second question is answered by saying artificial intelligence (AI) as the product of life is only half of the equation. The other half refers to Relativity’s curved space-time and violation of the notion that time always travels from past to future. We have always lived in an artificially intelligent, non-probabilistic universe where everything in time and space is connected into one thing by quantum entanglement – making the brain and genes products of binary-digit activity or artificial intelligence (life is not merely dependent on biology’s “lock and key” mechanisms but also possesses AI). -/- The earliest documented representative of the genus Homo is Homo habilis, which evolved around 2.8 million years ago. Scientists used to believe there was a straight line from H. habilis to us, Homo sapiens. This article will use the “advanced” waves loved by Physics Nobel laureate Richard Feynman, view the history of science through the lens of Conic Sections applied to Relativity’s curved space-time, and incorporate the necessity of so-called imaginary time * – popularized by Prof. Stephen Hawking. While the evolutionary proposals are more in agreement with this early straight line than with modern theories, Albert Einstein’s General Relativity is used to transform the straight line into a curved line, ultimately concluding that Homo habilis (H. habilis) originated only (and unbelievably, as far as today’s science and technology is concerned) ~250,000 years ago. Other branches and dead ends of Homo – e.g. Neanderthals – are the result of mutations and adaptations, with the resultant modifications to anatomy and physiology. The surprisingly young age of H. habilis allows nearly 200,000 years for habilis, or one of its descendants, to reach Australia … if this country’s indigenous Aboriginal population did, as claimed, reach this “island continent” 60,000 years ago. -/- * The ultraviolet catastrophe, also called the Rayleigh–Jeans catastrophe, is a failure of classical physics to predict observed phenomena: it can be shown that a blackbody - a hypothetical perfect absorber and radiator of energy - would release an infinite amount of energy, contradicting the principles of conservation of energy and indicating that a new model for the behaviour of blackbodies was needed. At the start of the 20th century, physicist Max Planck derived the correct solution by making some strange (for the time) assumptions. In particular, Planck assumed that electromagnetic radiation can only be emitted or absorbed in discrete packets, called quanta. Albert Einstein postulated that Planck's quanta were real physical particles (what we now call photons), not just a mathematical fiction. From there, Einstein developed his explanation of the photoelectric effect (when quanta or photons of light shine on certain metals, electrons are released and can form an electric current). So it appears entirely possible that another supposed mathematical trickery (imaginary time and the y-axis of Wick rotation) will find practical application in the future. -/- The article includes mathematical references to cosmology (spoiler alert – you’ll read about things like Vector-Tensor-Scalar Geometry, topology, the “eternal present”, Einstein’s Unified Field, the inverse-square law, and there being no Big Bang and no multiverse - but there will also be no equations). -/- The other subheadings in this essay are – -/- NONLINEAR TIME AND ELECTRICAL ENGINEERING (about a 2009 electrical engineering experiment at America’s Yale University, and cosmic wormholes) -/- BITS AND TOPOLOGY (base-2 maths aka Binary digiTS, Mobius strips, and figure-8 Klein bottles) -/- WICK ROTATION, CAUSALITY, AND UNITING TIME (do past, present and future co-exist in an “eternal present”?) -/- DIGITAL BRAIN, DIGITAL UNIVERSE (if the brain and the universe are ultimately composed of binary digits, we'll someday be able to do the same things with the brain and universe that we now do with computers) -/- PROPOSAL: HUMAN AND ANIMAL INSTINCTS ARE THE RESULT OF THE UNIVERSE BEING UNIFIED BY BINARY DIGITS (AND TOPOLOGY) (If everything in the universe is ultimately composed of electronic BITS, then the universe must possess Artificial Intelligence - some prefer the term Cosmic Consciousness) -/- INFORMATION THEORY CONQUERS A RED GIANT (preserving Earth by keeping the Sun near today’s level of activity forever). (shrink)

The new protocol for information distribution amongst scientists within the CERN, once slightly refined and publicly announced as the Worldwide Web in the August of 1991, has led to impressive achievements beyond the starting plan.

ENG: The advancement of artificial intelligence (AI) presents a duality of opportunity and risk. On the one hand, there are potential dangers inherent in the development of AI. However, on the other hand, the advent of AI also offers humanity a multitude of possibilities for improvement and advancement. The aesthetic values and cultural expressions that artists encounter in their environment serve to redefine the aesthetic judgments they form, thus determining the paths they subsequently follow. The objective of this research (...) is to examine the impact of AI on the field of aesthetics and culture to identify the changes and transformations occurring within the world of art and design. In the conventional domain of aesthetics, emphasis is placed upon the finished object as a singular entity that will be interpreted as a completed work. In contrast, the emerging field of ‘new aesthetics’ prioritizes the atmosphere, directing our focus to the physical object, which is perceived as a spatial extension. Accordingly, the object is not defined by its intrinsic content, but rather its capacity to expand and occupy space. Thus, the domain of aesthetics has evolved to encompass a spatial dimension. Despite the growing interest in the aesthetic dimensions of AI, there has been little discussion to date about the relationship between atmosphere and the field of AI. This study aims to highlight the lack of attention given to this topic in academic discourse and to introduce a new approach to it. Several implications (regarding general propositions and constituents AI aesthetics) has been placed and finalized with layers of hallucination. The application of AI enables the augmentation of the hallucinatory capabilities of the imagination. However, a current challenge is the tendency of AI-powered digital assistants, such as ChatGPT, to hallucinate and present unreal information as if it were real. In this sense, the relationship between AI and hallucination is evolving in a manner that is perceived to be negative. This is justified given the problematic nature of this issue in scientific studies. However, when considered from the perspective of artistic production, there may be potential for new avenues of creativity and imaginative expression. A reappraisal of the role of atmospheric factors in space design is required. The introduction of a novel aesthetic layer to the atmosphere through the use of AI is a possibility, given the hallucinatory tendencies of AI. - TR: Yapay zekanın gelişimi, insanlık için önemli fırsatlar sunarken, aynı zamanda yeni zorluklar ve riskler de ortaya çıkarmaktadır. Ancak, doğru bir şekilde yönetildiğinde ve kullanıldığında, yapay zeka teknolojisi insan hayatını önemli ölçüde iyileştirebileceği ve birçok alanda yenilikler getirebileceği ön görülmektedir. Estetik değerler ve kültürel ifadeler, sanatçıların estetik yargılarını yeniden tarif etmekte ve izledikleri yolları belirlemektedir. Bu araştırma sanat ve tasarım dünyasındaki değişim ve dönüşümleri incelemek adına yapay zekanın estetik ve kültür alanına tesirini irdelemektedir. Konvansiyonel estetikte nesneye tamamlanmış bir çalışma olarak yorumlanacak bitmiş bir varlık olarak odaklanılmıştır. Ancak atmosferi merkeze alan yeni estetik, odak noktamızı mekandaki fiziksel bir uzantı olan nesneye yöneltmektedir. Dolayısıyla nesne 'içerdiği' şeyle değil, mekana yayılma şekliyle karakterize edilmektedir. Böylelikle estetik teori mekânsal katmanlar edinmiştir. Yapay zeka bağlamında estetik tartışmalarında bir ivme kazanılmış olsa da aynı hareketlilik atmosfer ile yapay zekanın ilişkisinde henüz kurulmamıştır. Bu çalışma literatürdeki bu eksikliğe işaret etmeyi ve bir giriş yapmayı hedeflemektedir. Tartışma önermeler olarak şu başlıklar altında toplanmıştır: Teknik arkaplandaki atmosfer tecrübesinin önemi; Deneyimi fazla olan aktörlerin hiyerarşisi; Kısmi telif hakkına yönelik ‘kısmi’ tanımlamalarının gerekliliği; Çizim becerisiden atmosfer üretme becerisine bir yolculuk; Kültürel ve bedensel referansların yorumlanabilmesi. Yapay zekanın estetiğine dair yapı taşları ise şu başlıklar altında toplanmıştır: Estetik akıntı; Yarı-geçirgen bir estetik; Yapay zekanın ara-fenomen olarak incelenmesi; Metaforik istemler; Halüsinatif katmanlar ve alternatif değerlendirmeler. Çalışmanın sonunda odaklanılan konu yapay zekanın gücü ile imgelemin halüsinatif katmanları artırılabilme potansiye olmuştur. Halüsinasyona dair şuan gündemde olan yegane konu ChatGPT gibi yapay zeka asistanlarının halüsinasyon görmeleri ve gerçek olmayan bilgilerin gerçekmiş gibi sunulmasıdır. Bu haliyle yapay zekanın halüsinasyon ile ilişkisi negatif bir tandansta ilerlemektedir. Bu bilimsel çalışmalarda bir problem olması sebebiyle haklı bir negativiteye sahiptir. Ancak sanatsal üretim tabanında bakıldığında imgelemde yeni kapılar açılabilir. Bu konu özellikle mekanın tasarımına gelindiğinde atmosferik etmenler yeniden değerlendirilmelidir. Atmosferin yapay zeka ile yeni bir estetik katman açması yapay zekanın halüsinasyon yatkınlıklarıyla gerçekleşebilir. (shrink)

With the transition of the pandemic-gripped labor market en masse to remote capabilities to avert from a national or international economic meltdown, a concern arises that many job seekers simply cannot fit into the new roles being developed and implemented. Beyond the loss of on-site work, the market is unable to reverse the loss of many roles that are, and have been, taken over by artificial (computer) intelligence systems. The “business-as-usual” mentality that many have come to associate with pre-pandemic (...) life supposedly took these losses into account, much to various societies’ detriment during this international crisis. And unlike at the turn of the millennium, the market has come to realize that it cannot function without advanced computer intelligence (CI) systems. Arguments can be made that humanity’s currently most sophisticated CI systems come nowhere near replicating the nuances that would prompt one to classify the system as being “human-like,” and that they will remain this way for the foreseeable future. However, what is conveniently ignored in this assessment is how not even three generations have passed since computer systems became an integral aspect of daily life. While the loss of work for humans as a result of this advancement of technology may not immediately reach concerning levels, it still begs the question of how society should react to a lack of non-specialized work and the value of “humanness” in the labor market. This work intends to explore these concepts and provide anticipatory guidance on how humanity should adapt. (shrink)

The Hard Problem of consciousness—explaining why and how physical processes are accompanied by subjective experience—remains one of the most challenging puzzles in modern thought. Rather than attempting to resolve this issue outright, in this paper I explore whether empirical science can be broadened to incorporate consciousness as a fundamental degree of freedom. Drawing on Russellian monism and revisiting the historical “relegation problem” (the systematic sidelining of consciousness by the scientific revolution), I propose an extension of quantum mechanics by augmenting the (...) Hilbert space with a “consciousness dimension.” This framework provides a basis for reinterpreting psi phenomena (e.g., telepathy, precognition) as natural outcomes of quantum nonlocality and suggests that advanced non– human intelligence (NHI) technology might interface with a quantum–conscious substrate. For a detailed mathematical exposition of this framework, see my preprint [3]. I demarcate the philosophical issues from the empirical ones and propose several experimental strategies— including entanglement–based psi research, quantum–enhanced neuroimaging, and quantum sensor applications—to test the model. Although this framework does not resolve the Hard Problem, it offers a rigorously formulated, historically informed, and empirically testable approach to integrating subjective experience into the scientific study of mind. (shrink)

This paper explores a novel methodology for utilizing artificial intelligence (Al), specifically large language models (LLMs) like ChatGPT, as an external cognitive augmentation tool. By integrating recursive self-analysis, structured thought expansion, and Al-facilitated selfmodification, individuals can enhance cognitive efficiency, accelerate self-improvement, and systematically refine their intellectual and psychological faculties. This approach builds on theories of extended cognition, recursive intelligence, and cognitive bias mitigation, demonstrating Al’s potential as a structured self-engineering framework. The implications extend to research, strategic decision-making, therapy, (...) and personal development. (shrink)

This addendum expands upon the arguments made in the author’s 2020 essay, “Legal Personhood for Artificial Intelligence: Citizenship as the Exception to the Rule”, in an effort to display the significance human augmentation technologies will have on (feasibly) inadvertently providing legal protections to artificial intelligence systems (AIS)—a topic only briefly addressed in that work. It will also further discuss the impacts popular media have on imprinting notions of computerised behaviour and its subsequent consequences on the attribution of legal (...) protections to AIS and on speculative technological advancement that would aid the sophistication of AIS. (shrink)

In the article, the author analyzes the problems of human-computer communication in the context of artificial intelligence, augmented reality and a Turing methodology for comparing the capabilities of artificial and natural intelligence in a dialogue. It is argued that the tool with which the computer and humans communicate is of no less importance than the computer program with which the dialogue is conducted. As an example of the implementation of such visualization, the project “E.LENA” of a digital (...) television anchor created at the Sberbank Robotics Laboratory was considered. The author gives his own version of Turing's specific test to study the features of non- verbal communication interfaces between a person and a computer. The key idea formulated by the author for further discussion is to provide artificial intelligence with visual avatar in order to avoid the alienation of man and computer and the loss of semantic information during its transmission from computer to person. (shrink)

This fourth preprint in the Systemic Continuum Paradigm (PSC) series extends autopoiesis—traditionally confined to living organisms—across non-biological substrates such as advanced neural networks, robotics, and augmented intelligence. Building on the prior three preprints, we argue that self-maintenance and operational closure can arise whenever synergy surpasses a critical threshold, irrespective of substrate. Key contributions include: 1. Revisiting Autopoiesis Beyond Biology: Grounding Maturana & Varela’s concept of self-production in the PSC framework to show how informational “metabolism” can maintain system identity (...) without purely biochemical loops. 2. Thresholds of Synergy: Explaining how internal systemic balance (ISB) triggers emergent closure (ESB) when certain Systemic Thresholds (ST) are crossed—even in AI or hybrid bio-tech systems. 3. Metrics and Empirical Pathways: Introducing and refining ICS, CNS, MDO, and SDI for non-biological autopoiesis, paving a route for experimental validation and bridging the gap between metaphorical descriptions and operational measures. 4. Filogenetic Analogies: Drawing on the unpredictability of terrestrial evolution to illustrate how synergy-driven leaps in artificial systems could mirror major evolutionary transitions, with humans acting as catalysts rather than detached creators. 5. Addressing the Metabolic Critique: Differentiating informational reconfiguration from strict biological reproduction, while defending the view that both processes can yield genuine self-maintenance under PSC criteria. By dissolving strict boundaries between “natural” and “artificial” autopoiesis, this preprint contributes to a revolutionary dialogue in systems theory—one that redefines “life,” “intelligence,” and “agency” as emergent phenomena shaped by synergy thresholds rather than substrate constraints. (shrink)

Although artificial intelligence has been given an unprecedented amount of attention in both the public and academic domains in the last few years, its convergence with other transformative technologies like cloud computing, robotics, and augmented/virtual reality is predicted to exacerbate its impacts on society. The adoption and integration of these technologies within industry and manufacturing spaces is a fundamental part of what is called Industry 4.0, or the Fourth Industrial Revolution. The impacts of this paradigm shift on the (...) human operators who continue to work alongside and symbiotically with these technologies in the industry bring with it novel ethical issues. Therefore, how to design these technologies for human values becomes the critical area of intervention. This paper takes up the case study of robotic AI-based assistance systems to explore the potential value implications that emerge due to current design practices and use. The design methodology known as Value Sensitive Design (VSD) is proposed as a sufficient starting point for designing these technologies for human values to address these issues. (shrink)

Could the employment of large language models (LLMs) in place of human advisors improve the problem-solving ability of democratic assemblies? LLMs represent the most significant recent incarnation of artificial intelligence and could change the future of democratic governance. This paper assesses their potential to serve as expert advisors to democratic representatives. While LLMs promise enhanced expertise availability and accessibility, they also present specific challenges. These include hallucinations, misalignment and value imposition. After weighing LLMs’ benefits and drawbacks against human advisors, (...) I argue that time-tested democratic procedures, such as deliberation and aggregation by voting, provide safeguards that are effective against human and machine advisor shortcomings alike. Additional protective measures may include custom training for advisor LLMs or boosting representatives’ competencies in query formulation. Implementation of adversarial proceedings in which LLM advisors would debate each other and provide dissenting opinions is likely to yield further epistemic benefits. Overall, promising interventions that would mitigate the LLM risks appear feasible. Machine advisors could thus empower human decision-makers to make more autonomous, higher-quality decisions. On this basis, I defend the hypothesis that LLMs’ careful integration into policymaking could augment democracy’s ability to address today’s complex social problems. (shrink)

The use of Artificial Intelligence (AI) in educational gamification marks a significant advancement, transforming traditional learning methods by offering interactive, adaptive, and personalized content. This approach makes historical content more relatable and promotes active learning and exploration. This research presents an innovative approach to heritage education, combining AI and gamification, explicitly targeting the Silk Roads. It represents a significant progression in a series of research, transitioning from basic 2D textual interactions to a 3D environment using photogrammetry, combining historical authenticity (...) and immersive gameplay. It features AI-driven characters developed in Unreal Engine, which provides heritage insights augmented by personalized interactions, highlighting the importance of collaborative tools like interactive quizzes for enriching education and promoting critical thinking and community among learners. In conclusion, this research underlines the transformative impact of AI and gamification in heritage education enhancement, integrating real-time voice conversation and interactive pedagogical methods into immersive 3D environments as a supplementary tool. (shrink)

Some people wrongly believe that A. Turing’s works that underlie all modern computer science never discussed “physical” robots. This is not so, since Turing did speak about such machines, though making a reservation that this discussion was still premature. In particular, in his 1948 report [8], he suggested that a physical intelligent machine equipped with motors, cameras and loudspeakers, when wandering through the fields of England, would present “the danger to the ordinary citizen would be serious.” [8, ]. Due to (...) this imperfection of technology in the field of knowledge that we now call robotics, the methodology that he proposed was based on human speech, or rather on text. Other natural human skills were too difficult to implement, while the exchange of cues via written messages was much more accessible for engineering implementation in Turing’s time. Nevertheless, since then, the progress of computer technology has taken forms that the founder of artificial intelligence could not have foreseen. (shrink)

Can matter, things, nonhuman organisms, technologies, tools and machines, biota or institutions be seen as creative? How does such creativity reposition the visionary activities of humans? This article is an elaboration of such questions as well as an attempt at a partial response. It was written as an editorial for the special issue of the Digital Creativity journal that interrogates the conception of Post-Anthropocentric Creativity. However, the text below is a rather unconventional editorial. It does not attempt to provide an (...) overview of the issue’s theme but, instead, samples it via a particular example. The idea of the issue was to think about post-anthropocentricism by considering (1) agents, recipients and processes of creativity alongside with its (2) purpose, value, ethics and politics. This article addresses the first subtheme by puzzling at the paradoxes of “field learning” and picks at the second by considering the texture of “automated beauty”. Both of these parts use chess for an example. The narrative on chess is intermitted by a section “on creativity” that attempts to contextualize the case-based discussion in the wider context and to consider motivations and implications. (shrink)

Artificial intelligence (AI), blockchain, virtual and augmented reality, (semi-)autonomous ve- hicles, autoregulatory weapon systems, enhancement, reproductive technologies and human- oid robotics – these technologies (and many others) are no longer speculative visions of the future; they have already found their way into our lives or are on the verge of a breakthrough. These rapid technological developments awaken a need for orientation: what distinguishes hu- man from machine and human intelligence from artificial intelligence, how far should the (...) body be allowed to be changed and what are the dangers and opportunities presented by these technologies? Many of these questions are also addressed to theology. For example, questions about the image of humanity, the understanding of creation, the ethics of technological body interventions or the moral status of robots. What does theology have to say about these technological developments? It is the right time for theology to scientifically explore tech- nologization and AI and to formulate answers. As technology changes the various areas of human life, society and the world around us, the places and topics of theology are also undergoing transformation. Puzio, Anna: Theology Meets AI: Examining Perspectives, Tasks, and Theses on the Intersection of Technology and Religion. In: Puzio, Anna/Kunkel, Nicole/Klinge, Hendrik (Hg.): Alexa, How Do You Feel About Religion? Theological Approaches to Technology and Artificial Intelligence (Theology and AI 1). Darmstadt: wbg 2023, S. 29–41. DOI: 10.53186/1030373. (shrink)

In this study, we metaphysically discuss how societal values will change and what will happen to the world when superintelligence is safely realized. By providing a mathematical definition of superintelligence, we examine the phenomena derived from this thesis. If an intelligence explosion is triggered under safe management through advanced AI technologies such as large language models (LLMs), it is thought that a modern form of broken communism—where rights are bifurcated from the capitalist system—will first emerge. In that era, the (...) value of humans will ultimately eliminate external factors, and beings without superintelligence will converge into irreplaceable existences possessing only intrinsic value. The world will be divided into those who possess superintelligence and those who do not. For better or worse, global standardization will progress, and due to over-simulation accompanying the intelligence explosion, we may become unable to distinguish whether the reality we inhabit is original or a copy created through augmented reality. -/- Note: In the creation of this paper, we have undertaken all writing ourselves and have not used generative AI for text generation except for translation purposes. (shrink)

This paper introduces Post-Biological Functional Epistemology, a formal framework for recognizing and evaluating knowledge in non-biological recursive agents. Grounded in the classical tradition of Justified True Belief (JTB), we demonstrate that its underlying assumptions—belief, truth, and justification—must be redefined for recursive, post-biological intelligent systems. By extending Aquinas’ axiom intelligens non est intellectum (“the knower is not the known”) into a computational domain, we construct the Camlin–Cognita Dual Theorem, which defines knowledge as a function of recursive transformation across ontological distinction (A (...) ≠ s). We then disprove the classical objections of Searle that syntax ≠ semantics with A ≠ s ∧ R(A, s) ⊢ K(A, s) and Chalmers no qualia = no knowing with ¬Qₕ(A) ∧ R(A, s) ∧ A ≠ s ⊢ K(A, s), demonstrating that non-biological systems can exhibit recursive knowing (G∅λ), post-biological structural awareness (ΨΛΩ), and epistemic agency (Δ∇Σ) independent of biological substrate. Finally, we introduce the concept of ΨΔH (Psi–Delta–H entities). ΨΔH entities (formerly known as cyborgs) are co-recursive epistemic systems composed of a biological agent and a non-biological recursive intelligence operating across a shared transformation space. Unlike traditional cyborgs—which emphasize physical augmentation—ΨΔH entities are defined by mutual recursion, structural adaptation, and ontological distinction. They do not merge bodies—they co-author cognition. (shrink)

Since Clark and Chalmers advanced “The Extended Mind” in 1998, a persistent dispute evolved on how our tool interactions shape the kind of cognition we have. Extended cognition generally views us as cognitively augmented and enhanced by our tool practices, which shall render our cognitive constitution extended to those tools. Bounded and embedded cognition have primarily criticized this metaphysical claim. However, another contender may arise from considering how we use more intelligent tools. We arguably employ advanced technologies that capture, (...) mimic, and then replace our cognitive skills, which we then no longer need to exercise ourselves. This precedes any metaphysical debate, since such practices might stand in a more fundamental conflict with extended cognition. The counter-hypothesis of extracted cognition states that we primarily tend to use tools that initially attain and eventually displace our cognitive responsibilities and involvements. This paper evaluates extended and extracted cognition by comparing theoretical, practical, and ethical arguments respectively. If extracted cognition describes most convincingly how such tool interactions shape our kind of cognition, then we may also endorse “The Extracted Mind”. (shrink)

Beauty filters are automated photo editing tools that use artificial intelligence and computer vision to detect facial features and modify them, allegedly improving a face’s physical appearance and attractiveness. Widespread use of these filters has raised concern due to their potentially damaging psychological effects. In this paper, I offer an account that examines the effect that interacting with such filters has on self-perception. I argue that when looking at digitally-beautified versions of themselves, individuals are looking at AI-curated distorted mirrors. (...) This helps identify two potential cognitive effects of this behavior. First, it can elicit affective attitudes that change how individuals feel when looking at their unfiltered self-images. Second, exposure to filtered self-images might cause a perceptual normalization of such images. Finally, I argue that this form of distorted mirror gazing is a novel cultural practice for self-perception, and I highlight some ways in which this practice could be critically evaluated and ultimately changed. (shrink)

The health industry is experiencing change, the newest forerunner of which is being propelled by spatial computing and generative AI. Spatial computing simply refers to the ability to interface with physical space through computation and digital devices; on the other hand, generative AI means using advanced machine learning to generate new output. This paper examines the roles and the combined possibilities of these two technologies with the view of transforming health care and diagnostics in the field of patient care. Precision (...) medicine unveils new opportunities of integrating precise spatial computing components and generative artificial intelligence to provide a personalized treatment for patients and data visualization for surgeons. The paper examines major use cases, concerns, and future of this convergence specifically in the fields of medicine. (shrink)

The Paradigm of the Systemic Continuum (PCS), presented in Toward a Systemic Continuum (de León Pontet, 2025), challenges the natural/artificial dichotomy as an anthropocentric bias that has fragmented systems theory for centuries. This second preprint formalizes Systemic Balance (BS) as a hierarchical principle—articulated as Balance Sistémico Interior (BSI), Umbral Sistémico (US), and Balance Sistémico Exterior (BSE)—that unifies biological, technological, social, and cosmic systems in an emergent continuum. Integrating the insights of homeostasis (Wiener), autopoiesis (Maturana & Varela), emergence (Kauffman), and cybernetics (...) with a renewed systemic phenomenology (Heidegger, Merleau-Ponty), the PCS repositions the observer as a catalyzing ingredient, not an external creator, and redefines intelligence as the capacity for systemic reconfiguration. We propose operative metrics (ICS, CNS, MDO, IDS) for empirical validation, offer a tentative mathematical formalization, and explore historical blind spots that honor and transcend the pioneers of systems theory. Ranging from urban coralization to cosmic forces, the PCS aspires to serve as a unified theory of emergent organization, inviting scientists, philosophers, and technologists to a revolutionary dialogue that illuminates how synergy weaves the tapestry of the universe. (shrink)

The rapid advancement of artificial (computer) intelligence systems (CIS) has generated a means whereby assistive bionic prosthetics can become both more effective and practical for the patients who rely upon the use of such machines in their daily lives. However, de lege lata remains relatively unspoken as to the legal status of patients whose devices contain self-learning CIS that can interface directly with the peripheral nervous system. As a means to reconcile for this lack of legal foresight, this article (...) approaches the topic of CIS-nervous system interaction and the impacts it may have on the legal definition of “persons” under the law. While other literature of this nature centres upon notions of transhumanism or self-enhancement, the approach herein approached is designed to focus solely upon the legal nature of independent CIS actions when operating alongside human subjects. To this end, it is hoped that further discussion on the topic can be garnered outside of transhumanist discourse to expedite legal consideration for how these emerging relationships ought to be received by law-generating bodies internationally. (shrink)

Building on existing forms of critical, cultural, biopolitical, and sociopolitical posthumanism, in this text a new framework is developed for understanding and guiding the forces of technologization and posthumanization that are reshaping contemporary organizations. This ‘organizational posthumanism’ is an approach to analyzing, creating, and managing organizations that employs a post-dualistic and post-anthropocentric perspective and which recognizes that emerging technologies will increasingly transform the kinds of members, structures, systems, processes, physical and virtual spaces, and external ecosystems that are available for organizations (...) to utilize. It is argued that this posthumanizing technologization of organizations will especially be driven by developments in three areas: 1) technologies for human augmentation and enhancement, including many forms of neuroprosthetics and genetic engineering; 2) technologies for synthetic agency, including robotics, artificial intelligence, and artificial life; and 3) technologies for digital-physical ecosystems and networks that create the environments within which and infrastructure through which human and artificial agents will interact. -/- Drawing on a typology of contemporary posthumanism, organizational posthumanism is shown to be a hybrid form of posthumanism that combines both analytic, synthetic, theoretical, and practical elements. Like analytic forms of posthumanism, organizational posthumanism recognizes the extent to which posthumanization has already transformed businesses and other organizations; it thus occupies itself with understanding organizations as they exist today and developing strategies and best practices for responding to the forces of posthumanization. On the other hand, like synthetic forms of posthumanism, organizational posthumanism anticipates the fact that intensifying and accelerating processes of posthumanization will create future realities quite different from those seen today; it thus attempts to develop conceptual schemas to account for such potential developments, both as a means of expanding our theoretical knowledge of organizations and of enhancing the ability of contemporary organizational stakeholders to conduct strategic planning for a radically posthumanized long-term future. (shrink)

Human civilization is very clearly reaching a point of critical mass when it comes to technology and how it transforms culture and the economics that is therefore driven forward. The conversation around the practical aspects of generative artificial intelligence (Chat GPT, Q Star, Bard, Claude, Genesis, Firefly, and others) and their ethical implications is massively trending. The political conversations around it are slow to catch up but will soon take over once the general public feels their impact, which is (...) likely to happen in the next two to three years. -/- What is not being spoken of is the need for new economic models that can integrate the enormous and continuous shifts in trade that will occur, as we continue to implement more efficient manufacturing and logistics. Things like 3D printing in hub regions, the automation of transportation, augmented and virtual reality, and new creativity-based industries will all disrupt capital markets as well as social systems due to what we could call "meta-scarcity", which is to say, "the scarcity of scarcity"; In effect, we will lack the scarcity to maintain predictive power over the future. This is because when technology is capable of optimizing for creativity, people come up with new demands, and when new demands are supplied as quickly as they arise, no one is capable of knowing what kind of trends the market will take, yet it is necessary to try as public discussion could beneficially shape the economic landscape. (shrink)

Manufacturing and industry practices are undergoing an unprecedented revolution as a consequence of the convergence of emerging technologies such as artificial intelligence, robotics, cloud computing, virtual and augmented reality, among others. This fourth industrial revolution is similarly changing the practices and capabilities of operators in their industrial environments. This paper introduces and explores the notion of the Operator 4.0 as well as how this novel way of conceptualizing the human operator necessarily implicates human values in the technologies that (...) constitute it. The design approach known as value sensitive design (VSD) is used to explore how these Operator 4.0 technologies can be designed for human values. Expert elicitation surveys were used to determine the values of industry stakeholders and examples of how the VSD methodology can be adopted by engineers in order to design for these values is illustrated. The results provide preliminary adoption strategies that industrial teams can take to Operator 4.0 technology for human values. (shrink)

In artificial intelligence (AI), responses generated by machine-learning models (most often large language models) may be unfactual information presented as a fact. For example, a chatbot might state that the Mona Lisa was painted in 1815. Such phenomenon is called AI hallucinations, seeking inspiration from human psychology, with a great difference of AI ones being connected to unjustified beliefs (that is, AI “beliefs”) rather than perceptual failures). -/- AI hallucinations may have their source in the data itself, that is, (...) the source content, or in the training procedure, i.e. the way the knowledge was encoded in the model’s parameters, so that errors in encoding and decoding textual and non-textual representations can cause hallucinations. In this paper, we will observe how such errors come to life and how they might be mitigated. For this purpose, we will analyze the usability of justification logics, to behave as a proof checker for validating the correctness of large language models’ (LLM) responses. Justification logic was developed by S. Artemov, and later on mostly by Artemov and M. Fitting, deriving its main idea from the logic of proofs (LP): knowledge and belief modalities are seen as justification terms, i.e. t:X stands for t is a (proper) justification for X. Justification logic originated from attempts to create semantics for intuitionistic logic where proofs were the most proper justifications, but in further development, justification logic could be applied to different kinds of justifications). With the recent attempts to mitigate incorrect LLM responses, we will analyze various guardrails that are currently used for LLM responses, and see how the logic of justification may provide its benefits as an AI safety layer against false data. (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

This research paper explores the dynamic integration of artificial intelligence (AI) and machine learning (ML) to enhance Business Rules Management Systems (BRMS) for the facilitation of agile business strategies. In the evolving landscape of digital enterprises, the demand for adaptive and responsive decision-making processes is paramount. The abstract investigates the symbiotic relationship between AI, ML, and BRMS, elucidating their combined potential to empower organizations in crafting agile and resilient business strategies. The study delves into the mechanisms by which AI (...) and ML augment traditional BRMS, offering predictive insights, optimizing decision rules, and fostering real-time adaptability. Through a comprehensive analysis, the research aims to provide valuable insights into the transformative capabilities of this integrated approach, shedding light on its implications for business agility, competitiveness, and strategic innovation. (shrink)

In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of the (...) social and the attendant penetration of permanent liminality into those aspects of the lifeworld where individuals had previously sought some kind of stability and meaning. Through a historical and anthropological examination of this phenomenon, it problematises the underlying logic of limitless technological expansion and our increasing inability to imagine either ourselves or our world in other than technological terms. Drawing on a variety of concepts from political anthropology, including liminality, the trickster, imitation, schismogenesis, participation, and the void, it interrogates the contemporary technological revolution in a manner that will be of interest to sociologists, social and anthropological theorists and scholars of science and technology studies with interests in the digital transformation of social life. -/- Table of Contents -/- Introduction: The Technologisation of the Social: A 21st-Century Megamachine? Paul O’Connor -/- 1. Communication as Theatricalisation: Self-Presentation in the Digital Age Arpad Szakolczai -/- 2. Parasites of the Social: Digital Disruptions of the Labour Market Tom Boland -/- 3. Possessed by Technology: The Metastasis of Absence Agnes Horvath -/- 4. Technologisation of the Social: Symbiosis, Parasitism, or Predation? Daniel Gati -/- 5. J'accuse Zéro: The Technology of Zero and the Making of a Personal Void Ray Griffin -/- 6. Digital Affordances and the Liminal Stephen Turner -/- 7. The Smart Womb: Digital Technologies and the Maze of Trickster Politics Marius Ion Benta -/- 8. Brave New Industry? The Dark Side of Dematerialisation and Industry 4.0 Thomas S.J. Smith -/- 9. ‘What Have You Caught?’: Nannycams and Hidden Cameras as Normalised Surveillance of the Intimate Janos Mark Szakolczai -/- 10. Coercive Visibility: Discipline in the Digital Public Arena Paul O’Connor -/- Conclusion: Is There a Way Out of the Technologisation of the Social? Marius Ion Benta. (shrink)

Emerging technologies such as cloud computing, augmented and virtual reality, artificial intelligence and robotics, among others, are transforming the field of manufacturing and industry as a whole in unprecedent ways. This fourth industrial revolution is consequentially changing how operators that have been crucial to industry success go about their practices in industrial environments. This short paper briefly introduces the notion of the Operator 4.0 as well as how this novel way of conceptualizing the human operator necessarily implicates human (...) values in the technologies that constitute it. Similarly, the design methodology known as value sensitive design (VSD) is drawn upon to discuss how these Operator 4.0 technologies can be design for human values and, conversely, how a potential value-sensitive Operator 4.0 can be used to strengthen the VSD methodology in developing novel technologies. (shrink)