God, free will, and time: the free will offense part II Content Type Journal Article Category Article Pages 1-10 DOI 10.1007/s11153-011-9328-z Authors J. L. Schellenberg, Mount Saint Vincent University, 166 Bedford Highway, Halifax, NS B3M2J6, Canada Journal International Journal for Philosophy of Religion Online ISSN 1572-8684 Print ISSN 0020-7047.

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...) by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...) designed a brief questionnaire and distributed it to four groups of experts in 2012/2013. The median estimate of respondents was for a one in two chance that high-level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to superintelligence in less than 30 years thereafter. They estimate the chance is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

Some authors have recently suggested that it is time to consider rights for robots. These suggestions are based on the claim that the question of robot rights should not depend on a standard set of conditions for ‘moral status’; but instead, the question is to be framed in a new way, by rejecting the is/ought distinction, making a relational turn, or assuming a methodological behaviourism. We try to clarify these suggestions and to show their highly problematic consequences. While we find (...) the suggestions ultimately unmotivated, the discussion shows that our epistemic condition with respect to the moral status of others does raise problems, and that the human tendency to empathise with things that do not have moral status should be taken seriously—we suggest that it produces a “derived moral status”. Finally, it turns out that there is typically no individual in real AI that could even be said to be the bearer of moral status. Overall, there is no reason to think that robot rights are an issue now. (shrink)

In this paper it is argued that existing ‘self-representational’ theories of phenomenal consciousness do not adequately address the problem of higher-order misrepresentation. Drawing a page from the phenomenal concepts literature, a novel self-representational account is introduced that does. This is the quotational theory of phenomenal consciousness, according to which the higher-order component of a conscious state is constituted by the quotational component of a quotational phenomenal concept. According to the quotational theory of consciousness, phenomenal concepts help to account for the (...) very nature of phenomenally conscious states. Thus, the paper integrates two largely distinct explanatory projects in the field of consciousness studies: (i) the project of explaining how we think about our phenomenally conscious states, and (ii) the project of explaining what phenomenally conscious states are in the first place. (shrink)

Will future lethal autonomous weapon systems (LAWS), or ‘killer robots’, be a threat to humanity? The European Parliament has called for a moratorium or ban of LAWS; the ‘Contracting Parties to the Geneva Convention at the United Nations’ are presently discussing such a ban, which is supported by the great majority of writers and campaigners on the issue. However, the main arguments in favour of a ban are unsound. LAWS do not support extrajudicial killings, they do not take responsibility away (...) from humans; in fact they increase the abil-ity to hold humans accountable for war crimes. Using LAWS in war would probably reduce human suffering overall. Finally, the availability of LAWS would probably not increase the probability of war or other lethal conflict—especially as compared to extant remote-controlled weapons. The widespread fear of killer robots is unfounded: They are probably good news. (shrink)

The standard argument to the conclusion that artificial intelligence (AI) constitutes an existential risk for the human species uses two premises: (1) AI may reach superintelligent levels, at which point we humans lose control (the ‘singularity claim’); (2) Any level of intelligence can go along with any goal (the ‘orthogonality thesis’). We find that the singularity claim requires a notion of ‘general intelligence’, while the orthogonality thesis requires a notion of ‘instrumental intelligence’. If this interpretation is correct, they cannot be (...) joined as premises and the argument for the existential risk of AI turns out invalid. If the interpretation is incorrect and both premises use the same notion of intelligence, then at least one of the premises is false and the orthogonality thesis remains itself orthogonal to the argument to existential risk from AI. In either case, the standard argument for existential risk from AI is not sound.—Having said that, there remains a risk of instrumental AI to cause very significant damage if designed or used badly, though this is not due to superintelligence or a singularity. (shrink)

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; (...) and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing. (shrink)

Die Entwicklungen in der Künstlichen Intelligenz (KI) sind spannend. Aber wohin geht die Reise? Ich stelle eine Analyse vor, der zufolge exponentielles Wachstum von Rechengeschwindigkeit und Daten die entscheidenden Faktoren im bisherigen Fortschritt waren. Im Folgenden erläutere ich, unter welchen Annahmen dieses Wachstum auch weiterhin Fortschritt ermöglichen wird: 1) Intelligenz ist eindimensional und messbar, 2) Kognitionswissenschaft wird für KI nicht benötigt, 3) Berechnung (computation) ist hinreichend für Kognition, 4) Gegenwärtige Techniken und Architektur sind ausreichend skalierbar, 5) Technological Readiness Levels (TRL) (...) erweisen sich als machbar. Diese Annahmen werden sich als dubios erweisen. (shrink)

This paper presents the main topics, arguments, and positions in the philosophy of AI at present (excluding ethics). Apart from the basic concepts of intelligence and computation, the main topics of ar-tificial cognition are perception, action, meaning, rational choice, free will, consciousness, and normativity. Through a better understanding of these topics, the philosophy of AI contributes to our understand-ing of the nature, prospects, and value of AI. Furthermore, these topics can be understood more deeply through the discussion of AI; so (...) we suggest that “AI Philosophy” provides a new method for philosophy. (shrink)

The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology that (...) facilitates control, (2) morphology that facilitates perception and the rare cases of (3) morphological computation proper, such as ‘reservoir computing.’ where the body is actually used for computation. This result contributes to the understanding of the relation between embodiment and computation: The question for robot design and cognitive science is not whether computation is offloaded to the body, but to what extent the body facilitates cognition and control – how it contributes to the overall ‘orchestration’ of intelligent behaviour. (shrink)

The philosophy of AI has seen some changes, in particular: 1) AI moves away from cognitive science, and 2) the long term risks of AI now appear to be a worthy concern. In this context, the classical central concerns – such as the relation of cognition and computation, embodiment, intelligence & rationality, and information – will regain urgency.

[This is the short version of: Müller, Vincent C. and Bostrom, Nick (forthcoming 2016), ‘Future progress in artificial intelligence: A survey of expert opinion’, in Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library 377; Berlin: Springer).] - - - In some quarters, there is intense concern about high–level machine intelligence and superintelligent AI coming up in a few dec- ades, bringing with it significant risks for human- ity; in other quarters, these issues are ignored or (...) considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development and how fast they see these developing. We thus designed a brief questionnaire and distributed it to four groups of experts. Overall, the results show an agreement among experts that AI systems will probably reach overall human ability around 2040-2050 and move on to superintelligence in less than 30 years thereafter. The experts say the probability is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

This open access monograph offers a detailed study and a systematic defense of a key intuition we typically have, as human beings, with respect to the nature of time: the intuition that the future is open, whereas the past is fixed. For example, whereas it seems unsettled whether there will be a fourth world war, it is settled that there was a first world war. -/- The book contributes, in particular, three major and original insights. First, it provides a coherent, (...) non-metaphorical, and metaphysically illuminating elucidation of the intuition. Second, it determines which model of the temporal structure of the world is most appropriate to accommodate the intuition, and settles on a specific version of the Growing Block Theory of time (GBT). Third, it puts forward a naturalistic foundation for GBT, by exploiting recent results of our best physics (viz. General Relativity, Quantum Mechanics, and Quantum Gravity). Three main challenges are addressed: the dismissal of temporal asymmetries as non-fundamental phenomena only (e.g., thermodynamic or causal phenomena), the epistemic objection against GBT, and the apparent tension between GBT and relativistic physics. It is argued that the asymmetry between the open future and the fixed past must be grounded in the temporal structure of the world, and that this is neither precluded by our epistemic device, nor by the latest approaches to Quantum Gravity (​e.g., the Causal Set Theory). -/- Aiming at reconciling time as we find it in ordinary experience and time as physics describes it, this ​innovative book ​will raise the interest of both academic researchers and ​graduate students working on the philosophy of time. More generally, it ​presents contents of interest for all metaphysicians and non-dogmatic philosophers of physics. (shrink)

In this paper, I first introduce one of the most prominent objections against the Growing Block Theory of time (GBT), the so-called ‘epistemic objection’, according to which GBT provides no way of knowing that our time is the objective present and, therefore, leads at best to absolute skepticism about our temporal location, at worst to the quasi-certainty that we are located in the objective past. Secondly, I express my dissatisfaction regarding the various traditional attempts to address this objection, especially Merricks (...) (2006), Forrest (2004) and Correia and Rosenkranz (2018). Thirdly, I show that the passage of time leads to an anti-essentialist picture of natural kinds. Finally, I develop my own solution to the epistemic objection, based on the continued existence of bare particulars. (shrink)

This paper offers a twofold ontological conceptualization of technology in the Anthropocene. On the one hand, we aim to show how the Anthropocene occasions an experience of our inescapable inclusion in the technological structuring of reality that Martin Heidegger associates with cybernetics. On the other hand, by confronting Heidegger’s thought on technology with Georges Bataille’s consideration of technological existence as economic and averted existence, we will criticize Heidegger’s account by arguing that notwithstanding its inescapable inclusion in cybernetics, technology in the (...) Anthropocene itself fosters an experience of what remains excluded. We conclude by indicating how such an experience is relevant for contemporary philosophical investigation of technology. (shrink)

While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led into pursuing only (...) reproducible and measurable ‘scientific’ results – robotics should be careful to follow that line because results that can be benchmarked must be specific and context-dependent, but robotics targets whole complex systems for a broad variety of contexts. While it is extremely valuable to improve benchmarks to reduce the distance be- tween measure and target, the general problem to measure progress towards more intelligent machines (the target) will not be solved by benchmarks alone; we need a balanced approach with sophisticated benchmarks, plus real-life testing, plus qualitative judgment. (shrink)

Millikan's account of substance concepts is based on a notion of “substance” expanded from realist notions of individuals and natural kinds. Her metaphysical notion, based on “inductive potential,” is shown to be too puristic and needs to incorporate cognizing subjects. This could preserve the realist/nondescriptionist insight that the extension of substances is determined by the world.

Special Issue “Risks of artificial general intelligence”, Journal of Experimental and Theoretical Artificial Intelligence, 26/3 (2014), ed. Vincent C. Müller. http://www.tandfonline.com/toc/teta20/26/3# - Risks of general artificial intelligence, Vincent C. Müller, pages 297-301 - Autonomous technology and the greater human good - Steve Omohundro - pages 303-315 - - - The errors, insights and lessons of famous AI predictions – and what they mean for the future - Stuart Armstrong, Kaj Sotala & Seán S. Ó hÉigeartaigh - pages 317-342 (...) - - - The path to more general artificial intelligence - Ted Goertzel - pages 343-354 - - - Limitations and risks of machine ethics - Miles Brundage - pages 355-372 - - - Utility function security in artificially intelligent agents - Roman V. Yampolskiy - pages 373-389 - - - GOLEM: towards an AGI meta-architecture enabling both goal preservation and radical self-improvement - Ben Goertzel - pages 391-403 - - - Universal empathy and ethical bias for artificial general intelligence - Alexey Potapov & Sergey Rodionov - pages 405-416 - - - Bounding the impact of AGI - András Kornai - pages 417-438 - - - Ethics of brain emulations - Anders Sandberg - pages 439-457. (shrink)

The theory that all processes in the universe are computational is attractive in its promise to provide an understandable theory of everything. I want to suggest here that this pancomputationalism is not sufficiently clear on which problem it is trying to solve, and how. I propose two interpretations of pancomputationalism as a theory: I) the world is a computer and II) the world can be described as a computer. The first implies a thesis of supervenience of the physical over computation (...) and is thus reduced ad absurdum. The second is underdetermined by the world, and thus equally unsuccessful as theory. Finally, I suggest that pancomputationalism as metaphor can be useful. – At the Paderborn workshop in 2008, this paper was presented as a commentary to the relevant paper by Gordana Dodig-Crnkovic " Info-Computationalism and Philosophical Aspects of Research in Information Sciences". (shrink)

This paper investigates the prospects of Rodney Brooks’ proposal for AI without representation. It turns out that the supposedly characteristic features of “new AI” (embodiment, situatedness, absence of reasoning, and absence of representation) are all present in conventional systems: “New AI” is just like old AI. Brooks proposal boils down to the architectural rejection of central control in intelligent agents—Which, however, turns out to be crucial. Some of more recent cognitive science suggests that we might do well to dispose of (...) the image of intelligent agents as central representation processors. If this paradigm shift is achieved, Brooks’ proposal for cognition without representation appears promising for full-blown intelligent agents—Though not for conscious agents. (shrink)

The «extended mind thesis» sounds like a substantive thesis, the truth of which we should investigate. But actually the thesis a) turns about to be just a statement on where the demarcations for the «mental» are to be set (internal, external,…), i.e. it is about the «mark of the mental»; and b) the choice about the mark of the mental is a verbal choice, not a matter of scientific discovery. So, the «extended mind thesis » is a remark on how (...) its supporters or opponents want to use the word ‘mind’, not a thesis of cognitive science or philosophy. The upshot of the extended mind discussion should not be to draw the line further out, but to drop the demarcation project. (shrink)

Digital ethics, also known as computer ethics or information ethics, is now a lively field that draws a lot of attention, but how did it come about and what were the developments that lead to its existence? What are the traditions, the concerns, the technological and social developments that pushed digital ethics? How did ethical issues change with digitalisation of human life? How did the traditional discipline of philosophy respond? The article provides an overview, proposing historical epochs: ‘pre-modernity’ prior to (...) digital computation over data, via the ‘modernity’ of digital data processing to our present ‘post-modernity’ when not only the data is digital, but our lives themselves are largely digital. In each section, the situation in technology and society is sketched, and then the developments in digital ethics are explained. Finally, a brief outlook is provided. (shrink)

In October 2011, the “2nd European Network for Cognitive Systems, Robotics and Interaction”, EUCogII, held its meeting in Groningen on “Autonomous activity in real-world environments”, organized by Tjeerd Andringa and myself. This is a brief personal report on why we thought autonomy in real-world environments is central for cognitive systems research and what I think I learned about it. --- The theses that crystallized are that a) autonomy is a relative property and a matter of degree, b) increasing autonomy of (...) an artificial system from its makers and users is a necessary feature of increasingly intelligent systems that can deal with the real-world and c) more such autonomy means less control but at the same time improved interaction with the system. (shrink)

Cognition is commonly taken to be computational manipulation of representations. These representations are assumed to be digital, but it is not usually specified what that means and what relevance it has for the theory. I propose a specification for being a digital state in a digital system, especially a digital computational system. The specification shows that identification of digital states requires functional directedness, either for someone or for the system of which it is a part. In the case or digital (...) representations, to be a token of a representational type, where the function of the type is to represent. [An earlier version of this paper was discussed in the web-conference "Interdisciplines" https://web.archive.org/web/20100221125700/http://www.interdisciplines.org/adaptation/papers/7 ]. (shrink)

Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made and (...) used by humans; here, the main sections are privacy (2.1), manipulation (2.2), opacity (2.3), bias (2.4), autonomy & responsibility (2.6) and the singularity (2.7). Then we look at AI systems as subjects, i.e. when ethics is for the AI systems themselves in machine ethics (2.8.) and artificial moral agency (2.9). Finally we look at future developments and the concept of AI (3). For each section within these themes, we provide a general explanation of the ethical issues, we outline existing positions and arguments, then we analyse how this plays out with current technologies and finally what policy conse-quences may be drawn. (shrink)

In this article, I reflect on the nature of innovation to lay the groundwork for a philosophy of innovation. First, I contrast the contemporary techno-economic paradigm of innovation with the work of Joseph Schumpeter. It becomes clear that Schumpeter’s work provides good reasons to question the techno-economic paradigm of innovation. Second, I contrast ‘innovation’ with ‘technology’ and identify five differences between the two concepts. Third, I reflect on the process-outcome dimension and the ontic-ontological dimension of innovation to develop four characteristics (...) of the phenomenon of innovation. These four characteristics move beyond the techno-economic paradigm of innovation and highlight, first, the importance of its process dimension understood as ontogenesis, second, the outcome of innovation, and third, the importance of the ontological dimension of innovation, which is considered adjacent to its fourth characteristic, i.e., the ontic level of the outcome of innovation. After drawing conclusions, a research agenda for future research is provided. (shrink)

A central question that arises when interpreting the U.S. Constitution is which theory of interpretation is the best? In his recent book, “How to Interpret the Constitution,” Cass Sunstein reviews various theories of constitutional interpretation currently in vogue and then offers what he believes would be the best approach going forward. In this Article, I want to take up a more basic question presupposed by the very idea of a theory of interpretation. That is, whether it is even possible to (...) arrive at more than a provisional understanding of what would be the best interpretation in any given area of study, including constitutional law. That said, I do believe some of the interpretations suggested by Cass Sunstein and elsewhere by myself and others to be more persuasive than most others, even if only partially so. For, as Sunstein himself points out, no theory seems perfect to figure out the Constitution’s meaning in every possible world in which we could imagine it to exist. So, we best just focus on our own world or what we take to matter in our world. In keeping with this idea, I plan to begin by looking first at how we might interpret the world around us based on our past experiences by considering a somewhat imaginative recent experience of my own. Next, I consider some recent studies in the neurosciences and a previous but highly influential article by the philosopher Donald Davidson concerning conceptual schemes and whether we could ever hope to make any sense of a scheme radically different from our own. Here it should be pointed out that I will use the word “scheme” when referring to a very broad system of thought for which there may not be much outside, versus when I use the word “framework,” as referencing something far narrower than a whole system of thought, even if what is referenced might purport to be a significant part of a still larger system. My goal is to eventually adopt John Rawls’ public reason method to separate out non-workable systems of thought as might be part of a particular religious or philosophical tradition that cannot be easily tied to any other system of thought easily imagined within a pluralistic society. I plan to do this by relating how Rawls’ public reason might allow for the creation of a moral interpretation of the Constitution adopting the moral theory of Alan Gewirth. The latter I adopt because its grounding does not presuppose any prior moral or religious framework. I then apply that interpretative method to five cases Sunstein believes are fixed points in our current constitutional understanding. In short, I plan to isolate out an area of human rights where even very different understandings of the world might be able to meet, while acknowledging that there will still be other areas that simply evade any common connection. I hope what I offer here to be of help for a theory of constitutional interpretation that focuses on morality, without having to compete with various religious frameworks going forward. (shrink)

In this article, we reflect on the conditions under which new technologies emerge in the Anthropocene and raise the question of how to conceptualize sustainable technologies therein. To this end, we explore an eco-centric approach to technology development, called biomimicry. We discuss opposing views on biomimetic technologies, ranging from a still anthropocentric orientation focusing on human management and control of Earth’s life-support systems, to a real eco-centric concept of nature, found in the responsive conativity of nature. This concept provides the (...) ontological and the epistemological condition for an eco-centric concept of biomimetic technologies in the Anthropocene. We distinguish five principles for this concept that can guide future technological developments. (shrink)

Ποια είναι η πατρίδα κάποιων; Ας δούμε το θέμα λίγο σαν πρόβλημα της φιλοσοφίας της γλώσσας: για ένα κατηγόρημα «Άγγλος» «Γάλλος», «Πορτογάλος», «Βέλγος», «Φλαμανδός», πώς να αποφασίσουμε ποια αντικείμενα (ποιοι άνθρωποι) εμπίπτουν σε ποιο κατηγόρημα; Έχουν τελικά νόημα αυτά τα κατηγορήματα; Η χρήση και κατάχρηση αυτών των κατηγορημάτων έχει αποτελέσει μια από τις κυριότερες πηγές δυστυχίας στη διάρκεια των δύο τελευταίων αιώνων και συνεχίζει να είναι στην ημερήσια διάταξη. Συνήθως εμφανίζεται στα πλαίσια αγώνων για την απόκτηση «ελευθερίας» σε αντιπαράθεση με (...) την «καταπίεση», και σε παγκόσμιο επίπεδο και κοντύτερα μας: στη Μακεδονία, την Καταλονία, την Ιρλανδία, το Κουρδιστάν ... Νομίζω πώς αρκετά από αυτά βασίζονται σε λάθη. (shrink)

This paper provides a phenomenological analysis of postphenomenological philosophy of technology. While acknowledging that the results of its analyses are to be recognized as original, insightful, and valuable, we will argue that in its execution of the empirical turn, postphenomenology forfeits a phenomenological dimension of questioning. By contrasting the postphenomenological method with Heidegger’s understanding of phenomenology as developed in his early Freiburg lectures and in Being and Time, we will show how the postphenomenological method must be understood as mediation theory, (...) which adheres to what Heidegger calls the theoretical attitude. This leaves undiscussed how mediation theory about ontic beings involves a specific ontological mode of relating to beings, whereas consideration of this mode is precisely the concern of phenomenology. This ontological dimension is important to consider, since we will argue that postphenomenology is unwittingly technically mediated in an ontological way. The upshot of this is that in its dismissal of Heidegger’s questioning of technology as belonging to “classical philosophy of technology,” postphenomenology implicitly adheres to what Heidegger calls technology as Enframing. We argue that postphenomenology overlooks its own adherence to the theoretical attitude and ultimately to Enframing, and we will conclude with calling for a phenomenological questioning of the dimension that postphenomenology presently leaves unthought, meaning that we will develop a plea for a rehabilitation of the ontological dimension in the philosophy of technology. (shrink)

Because climate change can be seen as the blind spot of contemporary philosophy of technology, while the destructive side effects of technological progress are no longer deniable, this article reflects on the role of technologies in the constitution of the (post)Anthropocene world. Our first hypothesis is that humanity is not the primary agent involved in world-production, but concrete technologies. Our second hypothesis is that technological inventions at an ontic level have an ontological impact and constitutes world. As we object to (...) classical philosophers of technology like Ihde and Heidegger, we will sketch the progressive contribution of our conceptuality to understand the role of technology in the Anthropocene world. Our third hypothesis is that technology has emancipatory potential and in this respect, can inaugurate a post-Anthropocene World. We consider these three hypotheses to develop a philosophical account of the ontology of technology beyond an abstract and deterministic understanding. This concept enables us to philosophically reflect on the role of technology in the Anthropocene World in general, and its contribution to the transition to the post-Anthropocene World in particular. (shrink)

Traditionally, discussions of moral participation – and in particular moral agency – have focused on fully formed human actors. There has been some interest in the development of morality in humans, as well as interest in cultural differences when it comes to moral practices, commitments, and actions. However, until relatively recently, there has been little focus on the possibility that nonhuman animals have any role to play in morality, save being the objects of moral concern. Moreover, when nonhuman cases are (...) considered as evidence of moral agency or subjecthood, there has been an anthropocentric tendency to focus on those behaviors that inform our attributions of moral agency to humans. For example, some argue that the ability to evaluate the principles upon which a moral norm is grounded is required for full moral agency. Certainly, if a moral agent must understand what makes an action right or wrong, then most nonhuman animals would not qualify (and perhaps some humans too). However, if we are to understand the evolution of moral psychology and moral practice, we need to turn our attention to the foundations of full moral agency. We must first pay attention to the more broadly normative practices of other animals. Here, we begin that project by considering evidence that great apes and cetaceans participate in normative practices. (shrink)

Various authors debate the question of whether neuroscience is relevant to criminal responsibility. However, a plethora of different techniques and technologies, each with their own abilities and drawbacks, lurks beneath the label “neuroscience”; and in criminal law responsibility is not a single, unitary and generic concept, but it is rather a syndrome of at least six different concepts. Consequently, there are at least six different responsibility questions that the criminal law asks—at least one for each responsibility concept—and, I will suggest, (...) a multitude of ways in which the techniques and technologies that comprise neuroscience might help us to address those diverse questions. In a way, on my account neuroscience is relevant to criminal responsibility in many ways, but I hesitate to state my position like this because doing so obscures two points which I would rather highlight: one, neither neuroscience nor criminal responsibility are as unified as that; and two, the criminal law asks many different responsibility questions and not just one generic question. (shrink)

Invited papers from PT-AI 2011. - Vincent C. Müller: Introduction: Theory and Philosophy of Artificial Intelligence - Nick Bostrom: The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents - Hubert L. Dreyfus: A History of First Step Fallacies - Antoni Gomila, David Travieso and Lorena Lobo: Wherein is Human Cognition Systematic - J. Kevin O'Regan: How to Build a Robot that Is Conscious and Feels - Oron Shagrir: Computation, Implementation, Cognition.

In this article I review the Supreme Court’s current use of its major questions doctrine to see if the justifications commonly offered for its existence can explain its current use. In the process of doing so, I examine what the doctrine is about, how it came into existence and how the Court has applied it, especially in context to two recent cases, West Virginia v. EPA and Biden v. Nebraska. As both of these cases implicate the regulatory state, I place (...) the primary focus of this article on how the doctrine should apply in context to judicial evaluation of the regulatory state. In so doing, I discover that the Court’s current reliance on constitutional separation of powers and checks and balances analyses seem too narrow both with respect to the concerns of the founding generation but also, and perhaps more importantly, to the Constitution’s goals for the kind of government it sought to establish going into the future. (shrink)

Floridi and Taddeo propose a condition of “zero semantic commitment” for solutions to the grounding problem, and a solution to it. I argue briefly that their condition cannot be fulfilled, not even by their own solution. After a look at Luc Steels' very different competing suggestion, I suggest that we need to re-think what the problem is and what role the ‘goals’ in a system play in formulating the problem. On the basis of a proper understanding of computing, I come (...) to the conclusion that the only sensible ground-ing problem is how we can explain and re-produce the behavioral ability and function of meaning in artificial computational agents. (shrink)

In this article, we develop a concept of stakeholder dialogue in responsible innovation (RI) processes. The problem with most concepts of communication is that they rely on ideals of openness, alignment and harmony, even while these ideals are rarely realized in practice. Based on the work of Burke, Habermas, Deetz and Levinas, we develop a concept of stakeholder dialogue that is able to deal with fundamentally different interests and value frames of actors involved in RI processes. We distinguish four main (...) characteristics of stakeholder dialogue. Dialogical responsiveness (1) enhances self-criticism, (2) is characterized by the constitution and the destruction of the self or identity of the actors involved, (3) consists only in the actual enactment of the dialogue and (4) is primarily responsive to the grand challenges of our time. Based on our findings, we provide a novel conceptualization of the central notion of responsiveness in the RI literature. (shrink)

The paper presents a paradoxical feature of computational systems that suggests that computationalism cannot explain symbol grounding. If the mind is a digital computer, as computationalism claims, then it can be computing either over meaningful symbols or over meaningless symbols. If it is computing over meaningful symbols its functioning presupposes the existence of meaningful symbols in the system, i.e. it implies semantic nativism. If the mind is computing over meaningless symbols, no intentional cognitive processes are available prior to symbol grounding. (...) In this case, no symbol grounding could take place since any grounding presupposes intentional cognitive processes. So, whether computing in the mind is over meaningless or over meaningful symbols, computationalism implies semantic nativism. (shrink)

[Müller, Vincent C. (ed.), (2013), Philosophy and theory of artificial intelligence (SAPERE, 5; Berlin: Springer). 429 pp. ] --- Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. (...) This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here. (shrink)

This is the editorial for a special volume of JETAI, featuring papers by Omohundro, Armstrong/Sotala/O’Heigeartaigh, T Goertzel, Brundage, Yampolskiy, B. Goertzel, Potapov/Rodinov, Kornai and Sandberg. - If the general intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity – so even if we estimate the probability of this event to be fairly low, it is necessary to think about it now. We need to estimate what progress we can expect, what (...) the impact of superintelligent machines might be, how we might design safe and controllable systems, and whether there are directions of research that should best be avoided or strengthened. (shrink)

This is the short version, in French translation by Anne Querrien, of the originally jointly authored paper: Müller, Vincent C., ‘Autonomous killer robots are probably good news’, in Ezio Di Nucci and Filippo Santoni de Sio, Drones and responsibility: Legal, philosophical and socio-technical perspectives on the use of remotely controlled weapons. - - - L’article qui suit présente un nouveau système d’armes fondé sur des robots qui risque d’être prochainement utilisé. À la différence des drones qui sont manoeuvrés à (...) distance mais comportent une part importante de discernement humain, il s’agit de machines programmées pour défendre, attaquer, ou tuer de manière autonome. Les auteurs, philosophes, préfèrent prévenir de leur prochaine diffusion et obtenir des Nations Unies leur régulation. Une campagne internationale propose plutôt leur interdiction. (shrink)

The starting point of this article is the observation that the emergence of the Anthropocene rehabilitates the need for philosophical reflections on the ontology of technology. In particular, if technological innovations on an ontic level of beings in the world are created, but these innovations at the same time _create_ the Anthropocene World at an ontological level, this raises the question how World creation has to be understood. We first identify four problems with the traditional concept of creation: the anthropocentric, (...) ontic and outcome orientation of traditional concepts of creation, as well as its orientation of material fabrication. We subsequently develop a progressive concept of World creation with four characteristics that move beyond the traditional conceptuality: (1) a materialistic concept of creation that accounts for (2) the ontogenetic process and (3) the ontic and ontological nature of creation, and (4) is conceptualized as semantic creation of the World in which we live and act. (shrink)

This paper aims to contribute to the ongoing conceptual debate on responsible innovation, and provides innovation practices and processes that can help to implement responsible innovation in the business context. Based on a systematic literature review of 72 empirical scholarly articles, it was possible to identify, analyse and synthesise empirical findings reported in studies on social, sustainable and responsible innovation practices in the business context. The synthesis of the included articles resulted in a refined framework for responsible innovation in the (...) business context. This framework includes an overview of innovation practices and processes that can enhance the dimensions of responsible innovation: anticipation, reflexivity, inclusion, deliberation, responsiveness and knowledge management. Additionally, knowledge gaps are identified and a research agenda for responsible innovation is proposed. This review can therefore serve as a next step in the theoretical and practical development of responsible innovation in general, and in the business context in particular. (shrink)

In this article, we critically reflect on the concept of biomimicry. On the basis of an analysis of the concept of biomimicry in the literature and its philosophical origin, we distinguish between a strong and a weaker concept of biomimicry. The strength of the strong concept of biomimicry is that nature is seen as a measure by which to judge the ethical rightness of our technological innovations, but its weakness is found in questionable presuppositions. These presuppositions are addressed by the (...) weaker concept of biomimicry, but at the price that it is no longer possible to distinguish between exploitative and ecological types of technological innovations. We compare both concepts of biomimicry by critically reflecting on four dimensions of the concept of biomimicry: mimesis, technology, nature, and ethics. (shrink)

This paper investigates the view that digital hypercomputing is a good reason for rejection or re-interpretation of the Church-Turing thesis. After suggestion that such re-interpretation is historically problematic and often involves attack on a straw man (the ‘maximality thesis’), it discusses proposals for digital hypercomputing with Zeno-machines , i.e. computing machines that compute an infinite number of computing steps in finite time, thus performing supertasks. It argues that effective computing with Zeno-machines falls into a dilemma: either they are specified such (...) that they do not have output states, or they are specified such that they do have output states, but involve contradiction. Repairs though non-effective methods or special rules for semi-decidable problems are sought, but not found. The paper concludes that hypercomputing supertasks are impossible in the actual world and thus no reason for rejection of the Church-Turing thesis in its traditional interpretation. (shrink)

Nous partageons, au sujet de la nature du temps, l’intuition fondamentale selon laquelle le futur est ouvert tandis que le passé est fermé. Par exemple, alors que nous pensons pouvoir influencer le cours du futur, nous savons qu’aucune de nos actions ne peut influencer le cours du passé. Cependant, bien que cette intuition soit largement partagée, identifier la nature de l’asymétrie qu’elle reflète n’est pas chose aisée. Dans cet article, j’explore différentes manières de caractériser l’asymétrie entre le ‘futur ouvert’ et (...) le ‘passé fermé’ dans le but de rendre justice à notre intuition. En particulier, je discute la question de savoir si cette asymétrie doit être caractérisée de façon sémantique, épistémique, métaphysique ou ontologique. Je conclus que, bien que plusieurs de ces caractérisations contribuent à une compréhension globale du phénomène, une caractérisation ontologique de l’asymétrie doit être préférée, car elle s’avère supérieure en termes de pouvoir explicatif, d’intelligibilité, ainsi que dans sa capacité à inclure différents sens que l’on peut prêter au concept d’ouverture. (shrink)

In this paper, we reflect on the concept of nature that is presupposed in biomimetic approaches to technology and innovation. Because current practices of biomimicry presuppose a technological model of nature, it is questionable whether its claim of being a more ecosystem friendly approach to technology and innovation is justified. In order to maintain the potentiality of biomimicry as ecological innovation, we explore an alternative to this technological model of nature. To this end, we reflect on the materiality of natural (...) systems and explore a natural model of nature, which is found in the responsive conativity of matter. This natural model of nature enables us to conceptualize biomimicry as conative responsiveness to the conativity of the biosphere. (shrink)

Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of collected chapters dedicated to (...) examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. 1 Vincent C. Müller, Editorial: Risks of Artificial Intelligence - 2 Steve Omohundro, Autonomous Technology and the Greater Human Good - 3 Stuart Armstrong, Kaj Sotala and Sean O’Heigeartaigh, The Errors, Insights and Lessons of Famous AI Predictions - and What they Mean for the Future - 4 Ted Goertzel, The Path to More General Artificial Intelligence - 5 Miles Brundage, Limitations and Risks of Machine Ethics - 6 Roman Yampolskiy, Utility Function Security in Artificially Intelligent Agents - 7 Ben Goertzel, GOLEM: Toward an AGI Meta-Architecture Enabling Both Goal Preservation and Radical Self-Improvement - 8 Alexey Potapov and Sergey Rodionov, Universal Empathy and Ethical Bias for Artificial General Intelligence - 9 András Kornai, Bounding the Impact of AGI - 10 Anders Sandberg, Ethics and Impact of Brain Emulations 11 Daniel Dewey, Long-Term Strategies for Ending Existential Risk from Fast Takeoff - 12 Mark Bishop, The Singularity, or How I Learned to Stop Worrying and Love AI -. (shrink)

One of the pressing issues in philosophy of technology is the role of human creativity in human-technology relations. We first observe that a techno-centric orientation of philosophy of technology leaves open the role and contribution of human creativity in technological evolution, while an anthropocentric orientation leaves open the role of the technical milieu in technological evolution. Subsequently, we develop a concept of creation as deviation and responsiveness in response to affordances in the environment, inspired by the affordance theory by James (...) Gibson. With this concept of creation as deviative responsiveness, we articulate the human contribution to human-technology creation, namely, our intentional deviation of the inhibiting forces of the currently dominant niche or meaningful world of human-technology relations, in order to become responsive to new affordances in human-technology creation that constitute a new niche or world of human-technology relations. (shrink)