he health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...) The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...) The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. The results indicate that the deep learning model achieves a classification accuracy of over 95% for most plant diseases. A. (shrink)

Purpose. The main goal of the research was development and testing of the methodology of automated processing and analysis of multispectral satellite images of medium spatial resolution for the detection of deforestation. Design / Method / Approach. Experimental testing of the proposed methodology was carried out in the south-west of Ivano-Frankivsk and the south-east of Zakarpattia Oblasts using free archival images of the visible and IR ranges from Sentinel-2A/B satellites. Findings. The results obtained during the conducted research confirmed (...) the possibility and high efficiency of using images from Sentinel-2A/B satellites to detect and assess the dynamics of felling of wild and protected forests. In only one test area, the area of identified fellings in 2 years amounted to more than 300 hectares. Theoretical Implications. The paper shows the advantages of using the normalized difference index of time changes NDI for a given pair of satellite images of different times and selected spectral channels. Thanks to NDI, the accuracy and stability of the results of the detection of temporal changes increases, as well as the influence of such factors as differences in the illumination of different time images, the presence of scattered clouds, aerosol haze, absorption of radiation by the atmosphere, etc., is reduced. Practical Implications. Due to the high degree of automation, the developed technique can be implemented as a software in the form of a geo-informational web service that can function in the interests of a wide range of public services. Originality / Value. During the study, the necessary stages and sequence of processing remote sensing data were determined, and methods, algorithms and software tools for processing images were selected, and proprietary algorithms and programs were developed to increase the degree of automation and efficiency of image processing, as well as to improve the user interface. Research Limitations / Future Research. This study was limited to the use of multispectral imagery from the Sentinel-2A/B satellites (MSI imager). Future studies involve the use of additional data from Landsat-7 (ETM+ imager), Landsat-8 (OLI imager), Landsat-9 (OLI-2 imager) and Terra (ASTER imager). Paper Type. Applied research, methodological article. (shrink)

The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...) The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

The processes of computation and automation that produce digitized objects have displaced the concept of an image once conceived through optical devices such as a photographic plate or a camera mirror that were invented to accommodate the human eye. Computational images exist as information within networks mediated by machines. They are increasingly less about what art history understands as representation or photography considers indexing and more an operational product of data processing. Through genealogical, theoretical, and practice-based investigation, this (...) dissertation project traces a lineage of computation through images from early cybernetics to contemporary machine learning under algorithmic capitalist conditions of political economy. Objects include mundane examples such as smartphone cameras to sublime examples such as the imaging of black holes. It articulates new conditions and forms of perception and surveillance that result from contemporary technological development in computation. The project builds on theorists of computational media such as Friedrich Kittler, Wendy Hui Kyong Chun, Jussi Parikka, Shane Denson, and Alexander Galloway to examine the interplay between perception, computation, and epistemology. Further theoretical contribution builds on the work of Luciana Parisi and Jacques Ranciére’s articulation of aesthetics, and Michel Foucault’s gesture towards a heterotopia. Finally, it draws from Donna Haraway’s metaphors of the cyborg and sympoiesis to frame the capacity of art to transfigure the limitations of digital network culture into new possibilities for being. Here, it curates practices by Danielle Brathwaite-Shirley, Harun Farocki, Morehshin Allahyari, and Pierre Huyghe. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is making (...) a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

Neuralink could distribute artificial superintelligence to humans, thus allowing the homosapiens to synchronize the hemispheres of their brains, thereby transcending space-time, and potentially time traveling. While backwards time travel cannot change the past, due to paradoxes, the time traveler would probably share a soul with the alternate timeline self, thus providing closure for regrets, errors, injustice, etc. Plus, if one time travels with AI superintelligence, the time traveler may mend errors with greater ease. -/- Although other potential time travel methods (...) are displayed in the reference section, only the Gateway Process will be observed in this essay. The Gateway Process may allow for backwards time travel, under the rules that time travel cannot change the past, yet by attempting to change the past, new dimensions will be created, thus growing the universe. To determine if the Gateway Process allows for backwards time travel, researchers can use computer brain interface to examine the inside of a subject’s brain and mind. Plus, researchers can also check if the universe has grown after the subject has attempted to alter a past event, theoretically only creating another dimension. Soon technology may detect the exact expansion of the universe. Perhaps scientists can use space tunnels to investigate the possible creation of new dimensions from the Gateway Process backwards time traveling, attempting to alter past events. EXPERIMENT STEPS: 1)Automate the Gateway Process with Neuralink to ease suspected backwards time travel. 2)Connect the subject’s brain and mind to computer brain interface, or more specifically, magnetic resonance imaging, so the suspected time travel is recorded. 3)Build a space tunnel device to determine if the subject is creating new alternate dimensions with the suspected backwards time travel. 4)Stop, review and try again. Space tunnels may further corroborate if more dimensions have been created with the Gateway Process. Since hemisphere synchronization transcends the time-space dimension, effective enough Neuralink devices could allow someone to synchronize brain hemispheres and time travel to the past. Neuralink technology may both allow a deeper meditative state, thus backwards time travel, and computer monitoring of the backwards time travel and alternate dimension creation /universe expansion. At least presumably through scientific studies, each individual has alternate selves throughout alternate timelines thus, each individual(all alternate selves) become one in the afterlife. So backwards time traveling to correct a mistake, injustice, or error, thus creating alternate timelines, out of the past, would not change the original timeline but, would add a deeper satisfaction for the time traveler by sharing a soul with the alternative timeline self. While correcting the error, injustice, or mistake, the time traveler and alternative timeline self may share an individual consciousness. More concretely, quantum entanglement may illustrate how an individual’s selves, across different alternate timelines, share a deeper fundamental self, like a soul. I hereby invite experts in AI, quantum mechanics, and neuroscience to collaborate in adding technical rigor to this preprint. (shrink)

After the Event Horizon Telescope Collaboration released in April 2019 the first empirical images of a black hole, an astrophysical object previously thought “unseeable,” much of the public discourse has approached these images as straightforward visual depictions of a black hole. This article challenges this view by showing that the first images of a black hole went beyond merely making an invisible cosmic object visible and that the images published in April 2019 were just the first in a series of (...) black hole images the researchers continue producing. Drawing primarily on Sybille Krämer’s concept of the cartographic impulse, the article demonstrates that the Event Horizon Telescope images are, first and foremost, epistemic tools. These epistemic tools enable researchers to actively explore various physical aspects and dynamic properties of a black hole’s immediate environment and test theoretical predictions about it, thus making this elusive environment empirically knowable. To demonstrate this, the article analyses the mapping operations that combined automated algorithmic procedures with expert human judgment and through which these images were produced, read, and interpreted. It also examines how the different Event Horizon Telescope images relate to one another, which particular epistemic functions they fulfil in the research context, under which conditions, and with which limitations, thus tracing how these images facilitate the production of new scientific knowledge about black holes. (shrink)

This paper is an attempt of proposing the processing approach of neutrosophic technique in image processing.

Filmmaking with Artificial Intelligence Image Generation Models In just about one year, OpenAI’s release of ChatGPT 4 has caused panic in our daily lives. After a year, OpenAI introduced Sora, a moving image-generating model from text, similar to DALL-E for still images. Even though Sora is not yet available to the public, the very potential itself has raised issues in film production from the perspectives of producers and studios, as well as directors, actors, writers, and editors. In this (...) chapter, the role and expected impact of AI video generation technologies, such as OpenAI Sora and Stable Diffusion 3, will be considered in regard to filmmaking. To discuss these issues, it is necessary to further analyze the concept of artificial intelligence, what it means, and how it is misunderstood by the general public. These misunderstandings also lead to sci-fi fantasy and doomsday talk, adding nothing valuable to the debate. Once this concept is defined, the argument of why an artificial general intelligence akin to a human being is unlikely will be set, mostly referring to Hubert Dreyfus and David Chalmers. However, even though the good old-fashioned AI seems impossible, the AI tools we have now seem to be enough to cause many of the problems that the thought of a complete artificial intelligence also brings forth. It is important to treat these tools as tools and not entities in their current forms to focus on the more practical problems regarding human labor, interaction, and experience in the world. In this regard, it is important to look back in history to see how technology has shifted ways of making films. When thought of as such, it becomes clearer that these tools will likely not end human involvement in the practice of creating art but transform the methods and aesthetics of film production, challenging conventions in both artistic and commercial works in some ways and exaggerating them in others. Furthermore, the chapter will consist of the investigation of the impact of various AI tools on human creativity. Regarding human creativity, commercial films will most likely go through a paradigm shift. Production companies will most likely regard this shift as a way of improving performance and production. However, this advancement poses dire questions in the field and pursuit of creating art. AI tools help automate and accelerate the filmmaking process at the cost of filmmaking as an art form. The discussion will address why commercial filmmaking will see a paradigm shift and loss of some human labor, but in an optimistic world of philosophical thought, film as fine art will gain much in return. This is because AI tools in their current and foreseeable state are not capable of willing to make art due to their limitations regarding embodied cognition, experience, unconsciousness, and intuition. These things make us what we are more than we think. There is no better way to explain why human beings make art than to show how tools do not matter but the ideas and the will to do it. -/- . (shrink)

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand (...) itself anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”. (shrink)

The central aim of this thesis is to confront the world-view of positivistic materialism with its nihilistic implications and to develop an alternative world-view based on process philosophy, showing how in terms of this, science and ethics can be reconciled. The thesis begins with an account of the rise of positivism and materialism, or ‘scientism’, to its dominant position in the culture of Western civilization and shows what effect this has had on the image of man and consequently on (...) ethical views. After having shown the basic weaknesses of this world-view, the positivist account of science is criticised and an alternative epistemology is developed in which the aim of disciplined inquiry is seen to be understanding. It is argued on the basis of this epistemology that science and metaphysics are indissociable, and that the materialist conception of being is open to challenge from a different ontology. Having reviewed the various conceptions of being which have been developed in the past, a version of process philosophy is outlined and it is argued that this promises to be far more effective than materialism as a foundation for the natural sciences. In particular it is shown how in terms of process philosophy it is possible to conceive of living, sentient organisms as having emerged from inanimate being. This provides the basis for the development of a conception of humanity as an emergent form of life. The human order is then seen as a process of becoming within nature with its own unique dynamics, irreducible to any other processes, involving both intentional and unintentional processes. It is shown how on the basis of this conception of humanity it is possible to develop an ethical theory and a critical social science, and in this way, to transcend the disjunction between science and ethics. -/- . (shrink)

Objectification involves treating someone as a thing. The role of images in perpetuating objectification has been discussed by feminist philosophers. However, the precise effect that images have on an individual's visual system is seldom explored. Kathleen Stock’s work is an exception—she describes certain images of women as causing viewers to develop an objectifying ‘gestalt’ which is then projected onto real-life women. However, she doesn’t specify the level of visual processing at which objectification occurs. In this paper, I propose that (...) images can affect a viewer's early visual system. I will argue that if a viewer is exposed to a lot of images that depict women as sexual objects, this will bias their early visual selection mechanisms in a way that can result in an objectifying way of seeing. This is an important contribution to work on objectification as it incorporates empirical studies on vision and findings from philosophy of mind. It also examines some of the epistemic and moral consequences of objectification occurring at this early visual stage. (shrink)

Written in broad strokes, this paper attempts to draw form Krishnamurti’s life and teachings, a hermeneutics of the human soul’s quest-journey towards transcendent wholeness. It begins with an attempt to frame K’s “process” (the name given to the painful ordeals in his youth that many believe were the catalyst responsible for his metamorphosis) through a variety of disciplines and cultural perspectives, some of which underscore the impasse of scientific objectivity and the limits of phenomenalist categories in general. It then explores (...) the procedures and conceits of present technologies of self-transformation via pseudomeditative body work and suggests that this subject can only be confirmed by an experience so intimately and subversively (to its own object) subjective that it risks undermining its own legitimacy in the face of our body-phobic Cartesian cultural ethos that holds sacrosanct the mind-body split. -/- It then explores the deeper origins and history of this problem from the pre-Socratics to the misconceptions of modern mathematics about the proper place of metaphor and paradox and underscores how present day false consciousness fails to discriminate between a “noumenal” world and its conditioned “phenomenal” counterfeit copy. It ends with a brief meditation on K’s process. (shrink)

The article explores the problem of preferable technological changes in the context of work. To this end, it addresses the ‘why’ (motives and values) and the ‘how’ (organizational forms) of automation from a normative perspective. Concerning the ‘why,’ automation processes are currently mostly driven by values of economic efficiency. Yet, since automation processes are part of the basic structure of society, as is the division of labor, considerations of justice apply to them. As for the ‘how,’ the article suggests ‘fair (...) hybrid cooperation’ as an alternative ideal to guide automation priorities. It is achieved when the division of labor between humans and machines does not hinder, and preferably enables, workers’ experience of certain primary qualities in their work activity. By analogy with Rawls’ primary goods, these are qualities that it is necessary for every worker to experience in order to pursue their life plans: security, self-direction, self-development, dignity, and recognition. According to this criterion, the tasks to automate first are those hindering these contributive primary qualities. This provides us with a normative vocabulary and a standard to orient automation decisions but also to assess existing organizational forms and envisage alternative cooperative imaginaries. To illustrate how the ideal may play out in the real world, the article concludes with a ‘fair hybrid cooperation test’ and a nurse bots case for meaningful work. (shrink)

This article will rework the classical question ‘Can a machine think?’ into a more specific problem: ‘Can a machine think anything new?’ It will consider traditional computational tasks such as prediction and decision-making, so as to investigate whether the instrumentality of these operations can be understood in terms of the creation of novel thought. By addressing philosophical and technoscientific attempts to mechanise thought on the one hand, and the philosophical and cultural critique of these attempts on the other, I will (...) argue that computation’s epistemic productions should be assessed vis-à-vis the logico-mathematical specificity of formal axiomatic systems. Such an assessment requires us to conceive automated modes of thought in such a way as to supersede the hope that machines might replicate human cognitive faculties, and to thereby acknowledge a form of onto-epistemological autonomy in automated ‘thinking’ processes. This involves moving beyond the view that machines might merely simulate humans. Machine thought should be seen as dramatically alien to human thought, and to the dimension of lived experience upon which the latter is predicated. Having stepped outside the simulative paradigm, the question ‘Can a machine think anything new?’ can then be reformulated. One should ask whether novel behaviour in computing might come not from the breaking of mechanical rules, but from following them: from doing what computers do already, and not what we might think they should be doing if we wanted them to imitate us. (shrink)

This paper delves into the use of machine learning-based systems in decision-making processes and its implications for moral responsibility as traditionally defined. It focuses on the emergence of responsibility gaps and examines proposed strategies to address them. The paper aims to provide an introductory and comprehensive overview of the ongoing debate surrounding moral responsibility in automated decision-making. By thoroughly examining these issues, we seek to contribute to a deeper understanding of the implications of AI integration in society.

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and classify (...) cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. Key words: Cyberbullying Detection, Social Media, Supervised Machine Learning, Natural Language Processing (NLP), Optimization Techniques. (shrink)

Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social (...) benefits of automation. In this article, we consider the feasibility and efficacy of ethics-based auditing as a governance mechanism that allows organisations to validate claims made about their ADMS. Building on previous work, we define EBA as a structured process whereby an entity’s present or past behaviour is assessed for consistency with relevant principles or norms. We then offer three contributions to the existing literature. First, we provide a theoretical explanation of how EBA can contribute to good governance by promoting procedural regularity and transparency. Second, we propose seven criteria for how to design and implement EBA procedures successfully. Third, we identify and discuss the conceptual, technical, social, economic, organisational, and institutional constraints associated with EBA. We conclude that EBA should be considered an integral component of multifaced approaches to managing the ethical risks posed by ADMS. (shrink)

In this paper, I am predominantly interested in interpretations of emotional states portrayed in images of the face. In particular, the interpretations which have grown around the series of busts by Franz Xaver Messerschmidt, as well as those which attempt to expound Bill Viola’s video works. I will refer to aspects of physiognomy, artistic practices and aesthetics, in order to show what each of these tells us about our attitude to the body and emotions and what happens to the body (...) while a person is experiencing an emotion. My aim is to demonstrate how the act of depicting the body, regarded as a cognitive process in an artistic medium accompanied by a special kind of aesthetic experience, becomes a means of communication which is capable of conveying a universal message and of allowing us to define our attitude to the body. (shrink)

Many of the benefits and burdens we might experience in our lives — from bank loans to bail terms — are increasingly decided by institutions relying on algorithms. In a sense, this is nothing new: algorithms — instructions whose steps can, in principle, be mechanically executed to solve a decision problem — are at least as old as allocative social institutions themselves. Algorithms, after all, help decision-makers to navigate the complexity and variation of whatever domains they are designed for. In (...) another sense, however, this development is startlingly new: not only are algorithms being deployed in ever more social contexts, they are being mechanically executed not merely in principle, but pervasively in practice. Due to recent advances in computing technology, the benefits and burdens we experience in our lives are now increasingly decided by automata, rather than each other. How are we to morally assess these technologies? In this chapter, I propose a preliminary conceptual schema for identifying and locating the various injustices of automated, algorithmic social decision systems, from a broadly liberal perspective. (shrink)

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual, fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is not (...) necessarily the case. In preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy. (shrink)

Without doubt, there is a great diversity of scientific images both with regard to their appearances and their functions. Diagrams, photographs, drawings, etc. serve as evidence in publications, as eye-catchers in presentations, as surrogates for the research object in scientific reasoning. This fact has been highlighted by Stephen M. Downes who takes this diversity as a reason to argue against a unifying representation-based account of how visualisations play their epistemic role in science. In the following paper, I will suggest an (...) alternative explanation of the diversity of scientific images. This account refers to processes which are caused by the social setting of science. What exactly is meant by this, I will spell out with the aid of Ludwik Fleck’s theory of the social mechanisms of scientific communication. (shrink)

The concept of ‘the image’ can be given historical, conceptual, aesthetic and moral specifications. This essay sets out some of the scholarly issues in the dense semantic field of ‘the image’. In particular, the essay considers how the meaning of the image is often determined in relation to the opposition between sensible form and intelligible idea. Specific attention is given to Kantian aesthetics, which inaugurates a specific way of understanding the sensible form as a mode of (...) class='Hi'>processing moral ideas. (shrink)

Technology has the power to break the limitations of traditional passive learning and innovate almost all aspects of everyday life with the power of connecting things of the world to the Internet, “Internet of Things (IoT).” IoT is no longer a phenomenon, but it has become a prevalent system in which people, processes, data, and things connect to the Internet and each other. This paper ‘Enhanced Campus Automation System and the emerging need of IoT integration: an automation perspective’ [eCAS-IoT] is (...) an outcome of case study undertaken at St. Aloysius’ College, Jabalpur, India, wherein the automation challenges are taken into consideration that has been integrated in the existing ERP and related tools such as RFID based attendance and monitoring system in real-time, digital library, API integration and implementation of Optical Network. In this paper we have tried to bring out ideas to achieve the campus automation challenges and awareness of greater need of technical expertise, promotion and training on the effective use of ICT and related devices to make teaching, learning and administration more impacting. (shrink)

Video-objects are often discussed in terms of their ability to reflect upon the speed of our narcissistic culture, but less acknowledged is video’s agency to perform electronic events outside of human experience. This article engages in scholarship interested in the space of video operations where lived and imagined, real and virtual phenomena are experienced at the threshold of perception. Bringing into this conversation a discussion of The Waves (2003), an interactive installation by video pioneer and media critic Thierry Kuntzel, the (...) article moves away from the time/movement nexus grounded in a filmic understanding of the image to position video-memory as the emergence of a volume of time. Different from the time-image and movement-image of cinema, the volume-image of video defines a mode of engaging with multiple temporalities within the continuum of the video itself. Constituted progressively through layers of ever-changing signal processes, the volume-image of video technology is an open field, a transductive zone where multiple intensities create new representational rhythms, which disrupt the durational model of time so often attached to human experience. (shrink)

This participatory study, conducted in an introductory psychology class, recounts self-reflections of 22 undergraduate students and their instructor engaging in an GenAI-mediated storyboard generation process. It relies on Gordon Pask’s conversation theory, structuring out the nature of interactions between students, instructor, and GenAI, and then uses a qualitative narrative to describe these conversational feedback loops constituting the creation of draft and final storyboards. Results suggest students engaged in cyclical feedback driven processes to master their creations, used elements of photography related (...) to the relationships between objects in frame, image processing, and cultural objects/themes to generate narratives. Issues were faced with generating text on images, and the consistency and style of generated frames as they interacted with GenAI tools. This study provides guidelines to university teaching professionals to design effective activities mediated by text-to-image GenAI. (shrink)

In the biomedical context, policy makers face a large amount of potentially discordant evidence from different sources. This prompts the question of how this evidence should be aggregated in the interests of best-informed policy recommendations. The starting point of our discussion is Hunter and Williams’ recent work on an automated aggregation method for medical evidence. Our negative claim is that it is far from clear what the relevant criteria for evaluating an evidence aggregator of this sort are. What is (...) the appropriate balance between explicitly coded algorithms and implicit reasoning involved, for instance, in the packaging of input evidence? In short: What is the optimal degree of ‘automation’? On the positive side: We propose the ability to perform an adequate robustness analysis as the focal criterion, primarily because it directs efforts to what is most important, namely, the structure of the algorithm and the appropriate extent of automation. Moreover, where there are resource constraints on the aggregation process, one must also consider what balance between volume of evidence and accuracy in the treatment of individual evidence best facilitates inference. There is no prerogative to aggregate the total evidence available if this would in fact reduce overall accuracy. (shrink)

We are told by philosophers that photographs are a distinct category of image because the photographic process is mind-independent. Furthermore, that the experience of viewing a photograph has a special status, justified by a viewer’s knowledge that the photographic process is mind-independent. Versions of these ideas are central to discussions of photography in both the philosophy of art and epistemology and have far-reaching implications for science, forensics and documentary journalism. Mind-independence (sometimes ‘belief independence’) is a term employed to highlight (...) what is important in the idea that photographs can be produced naturally, mechanically, accidentally or automatically. Insofar as the process is physical, natural, mechanical or causal it can occur without human agency or intervention, entirely in the absence of intentional states. Presented innocuously, the idea is that although photographs are dependent on natural or mechanical processes, they can be produced independently of human agency – particularly human beliefs. Presented in a stronger form, the claim is that even if human agency is heavily involved in the production process, the definitive features that make the photograph a photograph and determine its salient properties are nonetheless independent of human minds. In epistemic debates, mind-independence is viewed as essential for explaining why photographs occupy a distinct category among images and justifying a variety of claims about their privileged epistemic and affective status in science, forensics, popular culture and journalism. But, in the philosophy of art, claims about mind-. (shrink)

The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely discussed, the way that those systems arrive at their outputs is often opaque, even to the (...) experts who design and deploy them. Is it morally problematic to make use of opaque automated methods when making high-stakes decisions, like whether to issue a loan to an applicant, or whether to approve a parole request? Many scholars answer in the affirmative. However, there is no widely accepted explanation for why transparent systems are morally preferable to opaque systems. We argue that the use of automated decision-making systems sometimes violates duties of consideration that are owed by decision-makers to decision-subjects, duties that are both epistemic and practical in character. Violations of that kind generate a weighty consideration against the use of opaque decision systems. In the course of defending our approach, we show that it is able to address three major challenges sometimes leveled against attempts to defend the moral import of transparency in automated decision-making. (shrink)

The increasing complexity and scale of modern computing needs have led to the development and adoption of cloud computing as a ubiquitous paradigm for data storage and processing. The hybrid cloud model, which combines both public and private cloud infrastructures, has been particularly appealing to organizations that require both the scalability offered by public clouds and the security features of private clouds. Various strategies for configuring and managing resources have been developed to optimize the hybrid cloud environment. These strategies (...) aim to balance conflicting objectives such as cost-efficiency, performance optimization, security, and compliance with regulatory standards. This exploratory research focused on evaluating the efficiency and limitations of different configuration strategies in hybrid cloud environments. Findings indicate that each approach presents distinct advantages. Improving resource utilization and automating governance processes are significant advantages of Policy-based Resource Management, which leads to costeffectiveness. Intelligent routing of traffic is a feature of Cross-cloud Load Balancing, resulting in optimized performance and higher service availability. By centralizing control, the Hybrid Cloud Service Mesh allows for secure and streamlined cross-service communication. A notable feature of Cross-cloud Container Orchestration is its ability to simplify the migration of applications across diverse cloud environments. For immediate threat detection and regulatory compliance, real-time monitoring is facilitated by Log Management and Analytics. However, Policy-based Resource Management can be complex and inflexible. Extra costs for data transfer between different cloud providers are a drawback of Crosscloud Load Balancing. Additional network hops create latency issues in Hybrid Cloud Service Mesh configurations. If configured incorrectly, Cross-cloud Container Orchestration could expose the system to security risks. Finally, Log Management and Analytics require both ample storage and advanced analytical capabilities. (shrink)

Computers are used to make decisions in an increasing number of domains. There is widespread agreement that some of these uses are ethically problematic. Far less clear is where ethical problems arise, and what might be done about them. This paper expands and defends the Ethical Gravity Thesis: ethical problems that arise at higher levels of analysis of an automated decision-making system are inherited by lower levels of analysis. Particular instantiations of systems can add new problems, but not ameliorate (...) more general ones. We defend this thesis by adapting Marr’s famous 1982 framework for understanding information-processing systems. We show how this framework allows one to situate ethical problems at the appropriate level of abstraction, which in turn can be used to target appropriate interventions. (shrink)

Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI) and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an essential facet of present-day medicine, signaling a pivotal role in diagnostic decision-making and treatment plans (Huang et al., 2023). The significance of medical imaging is escalated by its sustained growth within the realm of modern healthcare (Varoquaux and Cheplygina, 2022). Nevertheless, the ever-increasing volume of medical images compared to the availability of imaging experts. Biomedical experts (...) and radiologists have resulted in a widening disparity, causing an excess and overwhelming workload on these healthcare professionals (Chen et al., 2021). Several studies indicate that the present-day biomedical radiologist is now saddled with the daunting task of interpreting an image almost every 10 seconds to keep pace with the burgeoning clinical demands (McDonald et al., 2015; Hosny et al., 2018; Lantsman et al., 2022). This cognitive drain has invariably led to inevitable consequences such as delays in diagnosis and an amplified risk of diagnostic errors – thus, the biomedical imaging aspect is in dire need of methods that would aid accurate diagnostics and analytics for improved decision making. In this review, the importance of AI-related technologies such as ML and/or DL methods are reviewed in relation to the processing of medical or biomedical images along with their potentials, challenges, and possible suggestions for future studies in the health landscape. The focus will be on machine learning methods associated with the medical field of image classification. (shrink)

Primary and secondary processes are the foundational axes of the Freudian mental apparatus: one horizontally as a tendency to associate, the primary process, and one vertically as the ability for perspective taking, the secondary process. Primary process mentation is not only supposed to be dominant in the unconscious but also, for example, in dreams. The present study tests the hypothesis that the mental activity during REM-sleep has more characteristics of the primary process, while during non-REM-sleep more secondary process operations take (...) place. Because the solving of a rebus requires the ability to non-contexually condensate the literal reading of single stimuli into a new one, rebus solving is a primary process operation by excellence. In a replication of the dream-rebus study of Shevrin and Fisher (1967), a rebus, which consisted of an image of a comb (German: “Kamm”) and an image of a raft (German: “Floß”), resulting in the German rebus word “kampflos” (Engl.: without a struggle), was flashed subliminally (at 1 ms) to 20 participants before going to sleep. Upon consecutive awakenings participants were asked for a dream report, free associations and an image description. Based on objective association norms, there were significantly more conceptual associations referring to Kamm and Floß indexing secondary process mentation when subjects were awakened from non-REM sleep as compared to REM-awakenings. There were not significantly more rebus associations referring to kampflos indexing primary process mentation when awakened from REM-sleep as compared to non-REM awakenings. However, when the associations were scored on the basis of each subject’s individual norms, there was a rebus effect with more idiosyncratic rebus associations in awakenings after REM than after non-REM-sleep. Our results support the general idea that REM-sleep is characterized by primary process thinking, while non-REM-sleep mentation follows the rules of the secondary process. (shrink)

I am very used to strange books and special people, but Hawkins stands out due to his use of a simple technique for testing muscle tension as a key to the “truth” of any kind of statement whatsoever—i.e., not just to whether the person being tested believes it, but whether it is really true! What is well known is that people will show automatic, unconscious physiological and psychological responses to just about anything they are exposed to—images, sounds, touch, odors, ideas, (...) people. So, muscle reading to find out their true feelings is not radical at all, unlike using it as a dousing stick (more muscle reading) to do “paranormal science”. -/- Hawkins describes the use of decreasing tension in the muscles of an arm in response to increases in cognitive load thus causing the arm to drop in response to the constant pressure of someone’s fingers. He seems unaware that there is a long established and vast ongoing research effort in social psychology referred to by such phrases as ‘implicit cognition’, ‘automaticity’ etc., and that his use of ‘kinesiology’ is one tiny section. In addition to muscle tone (infrequently used) social psychologists measure EEG, galvanic skin response and most frequently verbal responses to words, sentences, images or situations at times varying from seconds to months after the stimulus. Many, such as Bargh and Wegner, take the results to mean we are automatons who learn and act largely without awareness via S1 (automated System 1) and many others such as Kihlstrom and Shanks say these studies are flawed and we are creatures of S2 (deliberative System 2). Though Hawkins seems to have no idea, as in other areas of the descriptive psychology of higher order thought, the situation regarding “automaticity” is still as chaotic as it was when Wittgenstein described the reasons for the sterility and barrenness of psychology in the 30’s. Nevertheless, this book is an easy read and some therapists and spiritual teachers may find it of use. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

Background. A growing interest in discursive nature of Nobel lectures resulted in a number of studies which emphasize their rhetorical force to influence public opinion and to popularize ideas in different spheres of human life. Analyzing Literature Laureates’ lectures, most researchers focus on linguistic means and the personality of the Nobelist himself/herself. However, characteristics of a writer proper have not been dealt with indepth. This article maintains our previous study, which indicates a close relationship between the content component of the (...) Nobel lecture and the laureate’ outlook; the lecture itself can be regarded as a brief but extremely powerful expression of his/her human and professional qualities. -/- Purpose. The aim of this paper is to examine how literature laureates interpret the notion of a writer in their Nobel lectures and to identify main common themes in creating this collective image. -/- Methods. A method of linguistic description and observation, a descriptive method, and a contextual-interpretation method were employed to analyse the sample of 17 Nobel lectures. -/- Results. The outcomes of our study indicate that Nobel lectures are extremely powerful expression of prizewinners’ human and professional qualities. We have devised a set of five themes, namely the writer’s social duty, his/her destiny, literary background, tools, and literary outcome to describe the collective image of a writer. Within the framework of our research, literary background falls into two subthemes (literary heritage and a personal writing process); discussing the writer’s toolkit, we focus on language and words. -/- Discussion. Our findings show that laureates develop the concept “writer” to varying degrees but all of them stress a direct interconnection between an active social position and the writer’s destiny. Further research can involve the in-depth study of a definite Nobel lecture in terms of the compositional structure and employed linguistic means. (shrink)

While Autonomous Weapons Systems have obvious military advantages, there are prima facie moral objections to using them. By way of general reply to these objections, I point out similarities between the structure of law and morality on the one hand and of automata on the other. I argue that these, plus the fact that automata can be designed to lack the biases and other failings of humans, require us to automate the formulation, administration, and enforcement of law as much as (...) possible, including the elements of law and morality that are operated by combatants in war. I suggest that, ethically speaking, deploying a legally competent robot in some legally regulated realm is not much different from deploying a more or less well-armed, vulnerable, obedient, or morally discerning soldier or general into battle, a police officer onto patrol, or a lawyer or judge into a trial. All feature automaticity in the sense of deputation to an agent we do not then directly control. Such relations are well understood and well-regulated in morality and law; so there is not much challenging philosophically in having robots be some of these agents — excepting the implications of the limits of robot technology at a given time for responsible deputation. I then consider this proposal in light of the differences between two conceptions of law. These are distinguished by whether each conception sees law as unambiguous rules inherently uncontroversial in each application; and I consider the prospects for robotizing law on each. Likewise for the prospects of robotizing moral theorizing and moral decision-making. Finally I identify certain elements of law and morality, noted by the philosopher Immanuel Kant, which robots can participate in only upon being able to set ends and emotionally invest in their attainment. One conclusion is that while affectless autonomous devices might be fit to rule us, they would not be fit to vote with us. For voting is a process for summing felt preferences, and affectless devices would have none to weigh into the sum. Since they don't care which outcomes obtain, they don't get to vote on which ones to bring about. (shrink)

This article explores the metaphor of Science as provider of sharp images of our environment, using the epistemological framework of Objective Cognitive Constructivism. These sharp images are conveyed by precise scientific hypotheses that, in turn, are encoded by mathematical equations. Furthermore, this article describes how such knowledge is pro-duced by a cyclic and recursive development, perfection and reinforcement process, leading to the emergence of eigen-solutions characterized by the four essential properties of precision, stability, separability and composability. Finally, this article discusses (...) the role played by ontology and metaphysics in the scientific production process, and in which sense the resulting knowledge can be considered objective. (shrink)

In this paper, we argue that Midjourney—a generative AI program that transforms text prompts into images—should be understood not as an agent or a tool, but as a new type of artistic medium. We first examine the view of Midjourney as an agent, considering whether it could be seen as an artist or co-author. This perspective proves unsatisfactory, as Midjourney lacks intentionality and mental states. We then explore the notion of Midjourney as a tool, highlighting its unpredictability and the limited (...) fine-grained control users have over its outputs, which sets it apart from traditional artistic tools. We propose that creating images with Midjourney parallels a gardener's interaction with natura naturans—nature's autonomous generative processes. Similarly, Midjourney acts as machina naturans, where users engage with its dynamic recalcitrance to influence, but not fully control, the creative process. This approach presents Midjourney as an artistic medium shaped by its inherent unpredictability. (shrink)

Christopher Gauker argues that no concept can be extracted from perceptual experience and that imagistic thought cannot draw boundaries between one kind and another. Here, it is argued, on the contrary, that images have extension and are consequently Fregean concepts. Hume’s theory of abstraction as indifference is offered as an account of extra-sensory concepts. Finally, it is argued that modern theories of sensory data processing run parallel to Kant’s idea of synthesis as a pre-condition for perception.

Abstract In this essay, I will argue that images can play a substantial role in argumentation: exploiting information from the context, they can contribute directly and substantially to the communication of the propositions that play the roles of premises and conclusion. Furthermore, they can achieve this directly, i.e. without the need of verbalization. I will ground this claim by presenting and analyzing some arguments where images are essential to the argumentation process. Content Type Journal Article Pages 1-14 DOI 10.1007/s10503-011-9259-y Authors (...) Axel Arturo Barceló Aspeitia, Instituto de Investigaciones Filosóficas, Universidad Nacional Autónoma de México, Cto. Mario de la Cueva s/n, Cd. Universitaria, Coyoacán, 04500 DF, Mexico Journal Argumentation Online ISSN 1572-8374 Print ISSN 0920-427X. (shrink)

For more than a century now, the automation of the means of work has created great apprehension among us. After all, will we all be replaced by machines in the future? Will all forms of labor be automatable? Such questions raise several criticisms in the literature concerned with machine ethics. However, in this study, I will approach this problem from another angle. After all, we can criticize the automation of the means of work in several ways. I invite the reader (...) to entertain the following hypothesis: What if the automation of the means of labor is something beneficial? What if human emancipation does come through our technological development? If the answer is yes, why do we still work so much? I conclude that if automation processes are applied to key points in our social structure, we can emancipate the individual from a reality where we work for no reason. (shrink)

I am very used to strange books and special people but Hawkins stands out due to his use of a simple technique for testing muscle tension as a key to the “truth” of any kind of statement whatsoever—i.e., not just to whether the person being tested believes it, but whether it is really true! What is well known is that people will show automatic, unconscious physiological and psychological responses to just about anything they are exposed to—images, sounds, touch, odors, ideas, (...) people. So muscle reading to find out their true feelings is not radical at all, unlike using it as a dousing stick (more muscle reading) to do “paranormal science”. Hawkins describes the use of decreasing tension in the muscles of an arm in response to increases in cognitive load thus causing the arm to drop in response to the constant pressure of someone’s fingers. He seems unaware that there is a long established and vast ongoing research effort in social psychology referred to by such phrases as ‘implicit cognition’, ‘automaticity’ etc., and that his use of ‘kinesiology’ is one tiny section. In addition to muscle tone (infrequently used) social psychologists measure EEG, galvanic skin response and most frequently verbal responses to words, sentences, images or situations at times varying from seconds to months after the stimulus. Many, such as Bargh and Wegner, take the results to mean we are automatons who learn and act largely without awareness via S1 and many others such as Kihlstrom and Shanks say these studies are flawed and we are creatures of S2. Though Hawkins seems to have no idea, as in other areas of the descriptive psychology of higher order thought, the situation regarding “automaticity” is still as chaotic as it was when Wittgenstein described the reasons for the sterility and barrenness of psychology in the 30’s. Nevertheless, this book is an easy read and some therapists and spiritual teachers may find it of use. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my article The Logical Structure of Philosophy, Psychology, Mind and Language as Revealed in Wittgenstein and Searle 59p(2016). For all my articles on Wittgenstein and Searle see my e-book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Wittgenstein and Searle 367p (2016). Those interested in all my writings in their most recent versions may consult my e-book Philosophy, Human Nature and the Collapse of Civilization - Articles and Reviews 2006-2016 662p (2016). -/- All of my papers and books have now been published in revised versions both in ebooks and in printed books. -/- Talking Monkeys: Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet - Articles and Reviews 2006-2017 (2017) Amazon ASIN # B071HVC7YP. -/- The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle--Articles and Reviews 2006-2016 (2017) Amazon ASIN # B071P1RP1B. -/- Suicidal Utopian Delusions in the 21st century: Philosophy, Human Nature and the Collapse of Civilization - Articles and Reviews 2006-2017 (2017) Amazon ASIN # B0711R5LGX . (shrink)

Persuasive technologies can adopt several strategies to change the attitudes and behaviors of their users. In this work I synthesize the lessons learned from three empirical case studies on automated persuasion that have been carried out in the last decade in the contexts of: persuasive news recommendations, social robotics, and e-commerce, respectively. In particular, such studies have assessed, in the technological domain, the effects of nudging techniques relying on well known persuasive argumentation schemas and on framing strategies. In discussing (...) the main findings, I will argue that the obtained persuasive effects are due to the fact that such techniques leverage on cognitive mechanisms that refer to the “system 1” types of automatic processes hypothesized in the context of the dual process theory of reasoning. As a consequence of this state of affairs, any automated persuasive systems (used for ethical purposes: e.g. suggesting good health habits) should be able to re-use these types of system 1 strategies in order to gradually take the users in an argumentation territory where system 2 processes can take place. -/- . (shrink)

Abstract: In a former paper [21], an exact image compression based on bit-planes blocking was proposed. The proposed algorithm uses two bit codes for block representation. The outcome of the encoding process is two streams: Main Bit Stream, MBS and Residual Bit Stream, RBS. The algorithm core is searching for the greatest block of Unicode to encode in main stream and if not found until size of two by two then it will be kept as is in residual stream. (...) In this paper, a lossy version of that algorithm is presented. The change in the base algorithm is in the definition of the unary-code-block is eased to be above certain percent. The percent is varied from plane to another as their contribution to image power varies. The testing of the proposed algorithm shows comparable results. Image degradations seems restorable even for high compression ratios. (shrink)

Focused attention is needed to perceive change (Rensink et al., 1997; Psychological Science, 8: 368-373) . But how much attentional processing is given to an item? And does this depend on the nature of the task? To answer these questions, "flicker" displays were created, where an original and a modified image continually alternated, with brief blanks between them. Each image was an array of simple figures, half being horizontal and the other half vertical. In half the trials, (...) one of the items changed orientation; in the remainder, all items remained the same. Observers were asked to detect whether a change was occurring in each trial. -/- Within-observer comparisons for different shapes of items yielded two classes of speed: relatively fast search (50 ms/item) for simple lines, and slower search (90 ms/item) for compound figures made of two or more lines. Evidently, more processing was given to compound figures, even though shape was irrelevant to the task. A similar set of experiments asked observers to detect changes in contrast polarity. Here, no differences were found for different shapes, indicating that geometric information is not processed as much when the task involves only nongeometric properties. (shrink)

For the last ten years, within molecular life sciences, the reproducibility crisis discourse has been embodied as a crisis of trust in scientific images. Beyond the contentious perception of “questionable research practices” associated with a digital turn in the production of images, this paper highlights the transformations of gel electrophoresis as a family of experimental techniques. Our aim is to analyze the evolving epistemic status of generated images and its connection with a crisis of trust in images within that field.From (...) the 1980s to the 2000s, we identify two key innovations (precast gels and gel docs) leading to a “two‐tiered” gel electrophoresis with different standardization procedures, different epistemic statuses of the produced images and different ways of generating (dis)trust in images. The first tier, exemplified by differential gel electrophoresis (DIGE), is characterized by specialized devices processing images as quantitative data. The second tier, exemplified by polyacrylamide gel electrophoresis (PAGE), is described as a routine technique making use of image as qualitative “virtual witnessing.” The difference between these two tiers is particularly apparent in the ways images are processed, even though both tiers involve image digitization. Our account thus highlights different views on reproducibility within the two tiers. Comparability of images is insisted upon in the first tier while traceability is expected in the second tier. It is striking that these differences occur not only within the same scientific field, but even within the same family of experimental techniques. In the second tier, digitization entails distrust, whereas it implies a collective sentiment of trust in the first tier. (shrink)

This paper sets out to examine the ideals of rebranding in the national image rebuilding process, fetching examples from Nigeria’s experience. The discourse also examines the concepts of image and the impact of anti-social behaviour of citizens on the nation’s image within the international community. This includes indiscriminate imaging of violence or crime scenes through photographs and written reports by citizens of the country. The paradox of the development of indiscriminate imaging and reporting of violence through photographs (...) is antagonistic to Nigeria’s image rebranding project. This paper acquires data through observational and analytical methods. This paper concludes that the rebranding of Nigeria and other African nations where violence, corruption, and anti-social behaviours strive is almost impossible until there is a change in the attitude of the citizens. The paper recommends that the war against corrupt practices, suicide bombings, and terrorist attacks on innocent citizens of Nigeria should be a collective effort of every Nigerian who wishes the country’s image well, otherwise the country will continually suffer the risk of perpetual alienation effects. (shrink)