Proceedings of the papers presented at the Symposium on "Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World" at the 2012 AISB and IACAP Symposium that was held in the Turing year 2012, 2–6 July at the University of Birmingham, UK. Ten papers. - http://www.pt-ai.org/turing-test --- Daniel Devatman Hromada: From Taxonomy of Turing Test-Consistent Scenarios Towards Attribution of Legal Status to Meta-modular Artificial Autonomous Agents - Michael Zillich: My Robot is Smarter than Your Robot: On the Need for (...) a Total Turing Test for Robots - Adam Linson, Chris Dobbyn and Robin Laney: Interactive Intelligence: Behaviour-based AI, Musical HCI and the Turing Test - Javier Insa, Jose Hernandez-Orallo, Sergio España - David Dowe and M.Victoria Hernandez-Lloreda: The anYnt Project Intelligence Test (Demo) - Jose Hernandez-Orallo, Javier Insa, David Dowe and Bill Hibbard: Turing Machines and Recursive Turing Tests — Francesco Bianchini and Domenica Bruni: What Language for Turing Test in the Age of Qualia? - Paul Schweizer: Could there be a Turing Test for Qualia? - Antonio Chella and Riccardo Manzotti: Jazz and Machine Consciousness: Towards a New Turing Test - William York and Jerry Swan: Taking Turing Seriously (But Not Literally) - Hajo Greif: Laws of Form and the Force of Function: Variations on the Turing Test. (shrink)

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)

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)

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)

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)

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)

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)

This is one more edition of Voltaire's "Candide", meant to highlight the wealth of philosophical and theological discussions hidden behind the apparently innocent veil of the most renowned fable of modernity. The rather extended apparatus accordingly consists of a series of short chapters by Filippo Bruni on the Enlightenment and Metaphysics, and in more detail, on theology, Free choice, the problem of evil, and happiness in an imperfect world and another by Sergio Cremaschi on the Enlightenment and morality, and (...) in more detail on moral universalism, religion without metaphysics, toleration, and pacifism. -/- Table of contents I. Before the text A trick for priests A scandalous book Garden with view -/- II. Text Candide or optimism -/- III. Context Biography 1. The seven years war 2. Calvinists and Socinians 3. Jiansenists and Gesuits 4. Marranos and inquisitors 5. Conquistadores and slave-traders 6. Paraguay under the Jesuits -/- IV. Co-text 1. Enlightenment and Metaphysics 1.1. Theology 1.2. Free choice 1.3. The problem of evil 1.4. Being happy in an imperfect world -/- 2. Enlightenment and morality 2.1. Universal morality 2.2. Religion without Metaphysics 2.3. Toleration 2.4. Pacifism -/- 3. Enlightenment and the images of other places 3.1. The image of Eldorado 3.2. The image of Paraguay 3.3 The image of the Islamic world 3.4. The image of the Jew -/- 4. The conte philosophique -/- Bibliography Lexicon Index of names and concepts -/- V. Reader’s guide. (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)

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)

Kit Fine’s logic of essence and his reduction of modality crucially rely on a principle called the ‘monotonicity of essence’. This principle says that for all pluralities, xx and yy, if some xx belong to some yy, then if it is essential to xx that p, it is also essential to yy that p. I argue that on the constitutive notion of essence, this principle is false. In particular, I show that this principle is false because it says that some (...) propositions are essential to yy even though those propositions are only about some of its members. I then consider modifications to the principle appealing to consequential essence and argue that such a modification is inconsistent with a central. (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)

If the world in which we are intentionally involved is threatened by climate change, this raises the question about our place on Earth. In this article, we argue that the ecological crisis we face today draws our attention to the Earth as ontic-ontological condition of our being-in-the-world. Because the Earth is often reflected upon in relation to human existence, living systems or material entities in the philosophical tradition, we argue for an ontological concept of the materiality of the Earth as (...) un-correlated being in this article. We develop five principles of the materiality of the Earth: the conativity, non-identity, responsiveness, performativity and eventuality of the Earth. We will argue that it is this notion of Earth that matters to us in the age of global warming. (shrink)

In this paper, we criticize the current focus of the bio-based economy (BBE) on efficiency and control and demonstrate the contradictions that this causes. We elucidate these tensions by comparing the BBE to alternative conceptions of economy that emphasise the relevance of both the human condition and unfathomable nature in the macro ecological transition project. From Emmanuel Levinas’s philosophy, we take and extrapolate two major concepts—il y a and enjoyment—that help to re-evaluate the status of both nature and the human (...) subject involved in environmental instability. From this analysis, we evaluate current economic practice in close relation to the deteriorating environment to contribute to a conception of an economy that is truly based on principles of the biosphere. We conclude that humankind and nature are notions that must be always considered in this encompassing and topical effort and explain how they have been fundamentally overlooked in current thought on the bio-based and circular economy. (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 artificial 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 understanding 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)

In philosophical reflections on geoethics, it is primarily the question of what it means to be ‘part’ of the Earth system that is critically reflected upon. As the current geological era of the Anthropocene disrupts the dichotomy between Human agency and the Earth system, philosophers criticise a humanist account of geoethics and call for a post-humanist account. In this chapter, we critically engage with one specific proponent of the post-humanist position, Timothy Morton. We introduce his version of the post-humanist position (...) by focussing on his call for the ‘end-of-the-world’ in the Anthropocene. We subsequently criticise Morton’s rejection of the World for three reasons. We show that the emergence of the Anthropocene is primarily an ontological phenomenon, namely a shift in our ‘being-in-the-world’ and that the concept of World is needed to understand the meaning of our ‘being-in-the-Anthropocene’ in contrast with our ‘being-in-the-Holocene’. We introduce a twofold between our ‘being-in-the-world’ as a symmetric relation and our ‘being-on-Earth’ as an asymmetric relation that constitutes our ‘being-in-the-Anthropocene’. This asymmetry disrupts the post-humanist position and calls for a conceptualisation of the human ethos beyond the post-humanist position. This conceptualisation of the human ethos also has consequences for our understanding of geoethics as geo-ethos. (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)

In this article, we philosophically reflect on the nature of corporate governance. We raise the question whether control is still a feasible ideal of corporate governance and reflect on the implications of the epistemic insufficiency of economic institutions with regard to grand challenges like of global warming for our conceptualization of corporate governance. We first introduce the concept of corporate governance from the perspective of economics and politics. We then trace the genealogy of the concept of governance based on a (...) selective reading of Giorgio Agamben’s work, who has pointed at two interdependent paradigms of governance in the Christian tradition, and apply his categories in the context of corporate governance. We finally engage in a critical reflection on the concept of corporate governance and develop four characteristics of corporate governance that can guide future conceptual as well as empirical research in the field of corporate social responsibility of economic institutions. (shrink)

: Background: In responsible research and innovation (RRI), innovation is seen as a way in which humankind finds solutions for societal issues. However, studies on commercial innovation show that firms respond in a different manner and at a different speed to the same societal issue. This study investigates what role organizational motives play in the product innovation processes of firms when aiming for socially responsible outcomes. Methods: This multiple-case study investigates the motives of food firms for healthier product innovation by (...) interviewing firms about the organizational motives behind product reformulation and innovation. Results: This study highlights the importance of having both instrumental and moral motives in the innovation process when aiming for socially responsible outcomes, and how both these motives interact and contribute to responsible innovation in industry. Furthermore, the study results question the nature of relational motives as a separate category from the other two categories of motives, as suggested by corporate social responsibility (CSR) scholars. Conclusions: If commercial innovation needs to contribute to solutions for societal issues, the importance of moral motives has to be stressed without annihilating the instrumental objectives of firms. Both motives contribute to the success factors of responsible product innovation in industry. (shrink)

Quentin Meillassoux’s call for realism is a call for a new interest in the Earth as un-correlated being in philosophy. Unlike Meillassoux, Martin Heidegger has not been criticized for being a correlationist. To the contrary, his concept of the Earth has to be understood as un-correlated being, as it is opposed to the world as correlated being. First, this interpreta­tion of Heidegger’s concept of the Earth solves various problems of interpretation that are present in the secondary literature. Second, Heidegger’s characterization (...) of the Earth in the end remains unthought in his work. Third, in the age of global warming Meillassoux’s call for realism can help to conceive planet Earth as the ontic-ontological origin of the Heideggerian strife between Earth and world. (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)

In this chapter, we propose an ecological hermeneutic phenomenology to study both the ontic and ontological structures of new and emerging technologies. In section 2, we first consult the traditional concept of phenomenology to find an entry point for our methodological considerations. It will become clear that Heidegger provides a progressive concept of hermeneutic phenomenology, although we are critical of his essentialism and linguistic focus in which there seems to be no room for the phenomenological consideration of ontic phenomena. The (...) discussion of Heidegger results in a methodological concept of an empirically informed ecological hermeneutic phenomenology that enables us to research how new and emerging technologies impact the World in which we live and act. Subsequently, we critically reflect on the epoché of phenomenology and show that a methodological concept of ecological hermeneutic phenomenology engages in an ecological transduction from technology as thematic artefact to technology as co-thematic ontological structure in which each and every artefact is grounded. (shrink)

what is the ontology of planets?Our access point to this question is the ontology of planet Earth. Although the presence of life marks planet Earth as special among other planets, Earth shares a basic commonality with them – namely, its material existence. We take this commonality as a point of departure for our reflections on the ontology of both planet Earth and other planets. In this chapter, we ask for the ontology of this materiality of planets. We consult the ontology (...) of planet Earth as I developed it in an earlier contribution (Blok, 2019), explore the ontology of planets as absolute boundary of the natural habitats on Earth, and reflect on the opportunities and limitations such ontology provides for future human colonies on other planets. (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)

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)

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)

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 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)

[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)

Garrath Williams claims that truly responsible people must possess a “capacity … to respond [appropriately] to normative demands” (2008:462). However, there are people whom we would normally praise for their responsibility despite the fact that they do not yet possess such a capacity (e.g. consistently well-behaved young children), and others who have such capacity but who are still patently irresponsible (e.g. some badly-behaved adults). Thus, I argue that to qualify for the accolade “a responsible person” one need not possess such (...) a capacity, but only to be earnestly willing to do the right thing and to have a history that testifies to this willingness. Although we may have good reasons to prefer to have such a capacity ourselves, and to associate ourselves with others who have it, at a conceptual level I do not think that such considerations support the claim that having this capacity is a necessary condition of being a responsible person in the virtue sense. (shrink)

Luck egalitarians think that considerations of responsibility can excuse departures from strict equality. However critics argue that allowing responsibility to play this role has objectionably harsh consequences. Luck egalitarians usually respond either by explaining why that harshness is not excessive, or by identifying allegedly legitimate exclusions from the default responsibility-tracking rule to tone down that harshness. And in response, critics respectively deny that this harshness is not excessive, or they argue that those exclusions would be ineffective or lacking in justification. (...) Rather than taking sides, after criticizing both positions I also argue that this way of carrying on the debate – i.e. as a debate about whether the harsh demands of responsibility outweigh other considerations, and about whether exclusions to responsibility-tracking would be effective and/or justified – is deeply problematic. On my account, the demands of responsibility do not – in fact, they can not – conflict with the demands of other normative considerations, because responsibility only provides a formal structure within which those other considerations determine how people may be treated, but it does not generate its own practical demands. (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)

Skeptics argue that the acquisition of knowledge is impossible given the standing possibility of error. We present the limiting convergence strategy for responding to skepticism and discuss the relationship between conceivable error and an agent’s knowledge in the limit. We argue that the skeptic must demonstrate that agents are operating with a bad method or are in an epistemically cursed world. Such demonstration involves a significant step beyond conceivability and commits the skeptic to potentially convergent inquiry.

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)

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.

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)

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)

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)

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)

We discuss at some length evidence from the cognitive science suggesting that the representations of objects based on spatiotemporal information and featural information retrieved bottomup from a visual scene precede representations of objects that include conceptual information. We argue that a distinction can be drawn between representations with conceptual and nonconceptual content. The distinction is based on perceptual mechanisms that retrieve information in conceptually unmediated ways. The representational contents of the states induced by these mechanisms that are available to a (...) type of awareness called phenomenal awareness constitute the phenomenal content of experience. The phenomenal content of perception contains the existence of objects as separate things that persist in time and time, spatiotemporal information, and information regarding relative spatial relations, motion, surface properties, shape, size, orientation, color, and their functional properties. (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)

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)

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)

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)

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)

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 victories of the Go-playing artificial intelligence “AlphaGo” against professional player Lee Sedol in 2016 had a profound impact on public and academic perceptions of AI. This event shocked observers, as the ability of a machine to defeat a world champion human in a highly complex game seemed to indicate that a machine had achieved human-like—or more than human—intelligence. But why was AlphaGo so readily anthropomorphized by academic and non-academic audiences alike? Drawing from existing analyses of reactions to and arguments (...) concerning AlphaGo and AI generally, this paper argues that “generative” cognitive science—a school of thought exemplified by the linguistic work of Noam Chomsky—offers two novel contributions to this subject. First, generativism sheds light on an irrational double standard in the study of the human mind in contrast to the study of non-cognitive systems—“methodological dualism”—which, I argue, has been transferred to evaluations of AlphaGo and other AI. Second, by exposing this irrational double standard in perceptions of AI, I employ generativism’s more well-known arguments concerning the nature of human intelligence and its scientific study to the evaluation of AI, exposing deficient interpretations widely used in the case of AlphaGo and AI generally. (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)