Scholars have long recognised that Mary Astell builds her feminist critique of society on a foundation of Cartesian views about human nature and the passions. At the same time, the full extent of the influence of Descartes’ view of embodiment on the solution Astell proposes in her Serious Proposal to the Ladies is only beginning to come to light. In this paper, I contribute to this ongoing project by arguing that Astell builds on Descartes’ ideas by addressing a blind spot (...) in his view, namely, that that the embodied self is socially situated, and that therefore, our social context plays a crucial formative role in the development of our passions. In doing so, I show Astell extends Cartesian philosophy beyond an egalitarian feminist critique of society, but also to a positive political theory offering a solution to the problems she identifies. Thusly, Astell shows the political potential of Cartesian philosophy as a framework for social critique and to seek solutions to the problems such a critique can bring out. (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)

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)

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)

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)

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)

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)

[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)

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)

A physical model was utilized to show that the neural system can memorize a target position and is able to cause motor and sensory events that move the arm to a target with more accuracy. However, this cannot indicate in which coordinates the necessary computations are carried out. Turning off the lights causes the error to increase which is accomplished by cutting off one feedback path. The geometrical properties of arm kinematics and the properties of the kinesthetic and visual sensorial (...) systems should be better known before inferences about higher levels of processing can be drawn. (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)

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)

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.

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)

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 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)

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 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)

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)

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)

I develop a theodicy (Non-Identity Theodicy) that begins with the recognition that we owe our existence to great and varied evils. I develop two versions of this theodicy, with the result that some version is available to the theist regardless of her assumptions about the existence and nature of free will. My defense of Non-Identity Theodicy is aided by an analogy between divine creation and human procreation. I argue that if one af rms the morality of vol- untary human procreation, (...) one should af rm the morality of divine creation; conversely, deny- ing the morality of divine creation commits one to denying the morality of human procreation. (shrink)

In this chapter, I philosophically reflect on the management of corporate responsibility in the case of innovation. I first set the scene by contrasting responsibility in corporate social responsibility and innovation ethics, and arguing that classical conceptualizations of backward and forward looking responsibility are inappropriate in the case of innovation. Next, I introduce the concept of responsible innovation as a lens to understand the management of corporate responsibility in the case of innovation and show that the notions of virtue ethics (...) and practical wisdom are inappropriate for understanding what is at stake in innovation ethics, because the notion of practical wisdom is at odds with the nature of innovation. I conclude this chapter by proposing a concept of action-based responsible management of corporate innovation, which will be framed in terms of innovation as ethos. (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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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.

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)

Bibliography of the writings by Hilary Putnam: 16 books, 198 articles, 10 translations into German (up to 1994).

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)

An essential property of a thing tells us about the real definition of that thing. In this dissertation, I argue that a real definition states conditions on the identity of things and explains how they differ from other individuals or members of other kinds. I then apply this account to show that some essential properties are discovered by science. I also argue contrary to reductionist accounts of essence and show that several of Kit Fine's applications of the notion of essence (...) to ontological dependence and to the reduction of modality, are spurious. Finally, I argue that the real definition of each human person accounts for their personal identity over time. (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)

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 paper I want to propose an argument to support Jerry Fodor’s thesis (Fodor 1983) that input systems are modular and thus informationally encapsulated. The argument starts with the suggestion that there is a “grounding problem” in perception, i. e. that there is a problem in explaining how perception that can yield a visual experience is possible, how sensation can become meaningful perception of something for the subject. Given that visual experience is actually possible, this invites a transcendental argument (...) that explains the conditions of its possibility. I propose that one of these conditions is the existence of a visual module in Fodor’s sense that allows the step from sensation to object-identifying perception, thus enabling visual experience. It seems to follow that there is informationally encapsulated nonconceptual content in visual perception. (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)

One of the controversial issues in the development of Heidegger’s thought is the problem of the will. Th e communis opinio is that Heidegger embraced the concept of the will in a non-critical manner at the beginning of the thirties and , in particular, he employed it in his political speeches of 1933–1934. Jacques Derrida for instance speaks about a “massive voluntarism” in relation to Heidegger’s thought in this period. Also Brett Davis discerns a period of “existential voluntarism” in 1930–1934, (...) in which Heidegger takes over a notion of the will in a non-critical manner. In this article, this interpretation is challenged and a stronger interpretation of Heidegger’s concern with the will is developed. Our hypothesis is that Heidegger’s concern with the will at the onset of the thirties is brought about by his confrontation (Auseinandersetzung) with the concept of the will. Based on his lecture courses from 1930 and 1936/37 and his Rectoral Address from 1933, enables us to discern three main characteristics of Heidegger’s destructed concept of the will in the early thirties. (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)