A prominent version of emotional cognitivism is the view that emotions are preceded by awareness of value. In a recent paper, Jonathan Mitchell (2019) has attacked this view (which he calls the content-priority view). According to him, extant suggestions for the relevant type of pre-emotional evaluative awareness are all problematic. Unless these problems can be overcome, he argues, the view does not represent a plausible competitor to rivaling cognitivist views. As Mitchell supposes, the view is not mandatory since its core (...) motivations can be accommodated by competing views, too. I argue that Mitchell's case against the content-priority view is unconvincing as it misconceives the principal motivation for the view. As I show, properly reconstructed, this motivation provides a strong case for the indispensability of the view to any adequate cognitivist treatment of emotion. Moreover, Mitchell's survey of candidates for pre-emotional value awareness can be seen to rest on problematic phenomenological assumptions. (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)

Is normative uncertainty like factual uncertainty? Should it have the same effects on our actions? Some have thought not. Those who defend an asymmetry between normative and factual uncertainty typically do so as part of the claim that our moral beliefs in general are irrelevant to both the moral value and the moral worth of our actions. Here I use the consideration of Jackson cases to challenge this view, arguing that we can explain away the apparent asymmetries between normative and (...) factual uncertainty by considering the particular features of the cases in greater detail. Such consideration shows that, in fact, normative and factual uncertainty are equally relevant to moral assessment. (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 Enkratic Principle enjoys something of a protected status as a requirement of rationality. I argue that this status is undeserved, at least in the epistemic domain. Compliance with the principle should not be thought of as a requirement of epistemic rationality, but rather as defeasible indication of epistemic blamelessness. To show this, I present the Puzzle of Inconsistent Requirements, and argue that the best way to solve it is to distinguish two kinds of epistemic evaluation – requirement evaluations and (...) appraisal evaluations. This allows us to solve the puzzle while accommodating traditional motivations for thinking of the Enkratic Principle as a requirement of rationality. (shrink)

It is popular to hold that our primary epistemic access to specific response-dependent properties like the fearsome or admirable (or so-called ‘affective properties’) is constituted by the corresponding emotion. I argue that this view is incompatible with a widely held meta-ethical view, according to which affective properties have deontic force. More specifically, I argue that this view cannot accommodate for the requirement that deontic entities provide guidance. If affective properties are to guide the formation of the corresponding emotion, our primary (...) access to them cannot be provided by that same emotion. (shrink)

Animal ethics has often been criticized for an overreliance on “ideal” or even “utopian” theorizing. In this article, I recognize this problem, but argue that the “nonideal theory” which critics have offered in response is still insufficient to make animal ethics action-guiding. I argue that in order for animal ethics to be action-guiding, it must consider agent-centered theories of change detailing how an ideally just human-animal coexistence can and should be brought about. I lay out desiderata that such a theory (...) of change should suffice so as to be helpful in guiding action. Specifically, a theory of change should determine (1) who needs to do what in order for ideal justice to be achieved in the long run, (2) who should be expected to refuse compliance and how they should be moved to comply, and (3) why specific intermediate steps are necessary. I show how previous “nonideal” contributions, though helpful in other ways, are insufficiently determinate on these points and I sketch a (still somewhat utopian) theory of change for one specific context. This brings animal ethics a crucial step closer to being action-guiding in the real world. (shrink)

It is popular to hold that emotions are evaluative. On the standard account, the evaluative character of emotion is understood in epistemic terms: emotions apprehend or make us aware of value properties. As this account is commonly elaborated, emotions are experiences with evaluative intentional content. In this paper, I am concerned with a recent alternative proposal on how emotions afford awareness of value. This proposal does not ascribe evaluative content to emotions, but instead conceives of them as evaluative at the (...) level of intentional mode or attitude. I first argue that this proposal fails to make emotions intelligible as value apprehensions. There are reasons to suppose that emotions do not apprehend value to begin with, but are related to values in a different, non-epistemic sense. I then go on to show that the notion of an evaluative intentional mode can still help elucidate the evaluative character of emotion. I argue that there is a plausible non-epistemic understanding of the view that emotions are evaluative modes. On this account, emotions are not ways of apprehending values, but ways of acknowledging values. (shrink)

I argue that there are some situations in which it is praiseworthy to be motivated only by moral rightness de dicto, even if this results in wrongdoing. I consider a set of cases that are challenging for views that dispute this, prioritising concern for what is morally important in moral evaluation. In these cases, the agent is not concerned about what is morally important, does the wrong thing, but nevertheless seems praiseworthy rather than blameworthy. I argue that the views under (...) discussion cannot accommodate this, and should be amended to recognise that it is often praiseworthy to be motivated to do what is right. (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)

Incoherence is usually regarded as a bad thing. Incoherence suggests irrationality, confusion, paradox. Incoherentism disagrees: incoherence is not always a bad thing, sometimes we ought to be incoherent. If correct, Incoherentism has important and controversial implications. It implies that rationality does not always require coherence. Dilemmism and Incoherentism both embrace conflict in epistemology. After identifying some important differences between these two ways of embracing conflict, I offer some reasons to prefer Incoherentism over Dilemmism. Namely, that Incoherentism allows us to deliberate (...) about what we ought to believe using ordinary epistemology, and it does a better job of accommodating the positive features of incoherence. (shrink)

De Re Significance accounts of moral appraisal consider an agent’s responsiveness to a particular kind of reason, normative moral reasons de re, to be of central significance for moral appraisal. Here, I argue that such accounts find it difficult to accommodate some neuroatypical agents. I offer an alternative account of how an agent’s responsiveness to normative moral reasons affects moral appraisal – the Reasonable Expectations Account. According to this account, what is significant for appraisal is not the content of the (...) reasons an agent is responsive to, but rather whether she is responsive to the reasons it is reasonable to expect her to be responsive to, irrespective of their content. I argue that this account does a better job of dealing with neuroatypical agents, while agreeing with the De Re Significance accounts on more ordinary cases. (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)

I argue for the unexceptionality of evidence about what rationality requires. Specifically, I argue that, as for other topics, one’s total evidence can sometimes support false beliefs about this. Despite being prima facie innocuous, a number of philosophers have recently denied this. Some have argued that the facts about what rationality requires are highly dependent on the agent’s situation and change depending on what that situation is like. (Bradley 2019). Others have argued that a particular subset of normative truths, those (...) concerning what epistemic rationality requires, have the special property of being ‘fixed points’—it is impossible to have total evidence that supports false belief about them. (Smithies 2012; Titelbaum 2015). Each of these kinds of exceptionality permits a solution to downstream theoretical problems that arise from the possibility of evidence supporting false belief about requirements of rationality. However, as I argue here, they incur heavy explanatory burdens that we should avoid. (shrink)

Automated Influence is the use of Artificial Intelligence to collect, integrate, and analyse people’s data in order to deliver targeted interventions that shape their behaviour. We consider three central objections against Automated Influence, focusing on privacy, exploitation, and manipulation, showing in each case how a structural version of that objection has more purchase than its interactional counterpart. By rejecting the interactional focus of “AI Ethics” in favour of a more structural, political philosophy of AI, we show that the real problem (...) with Automated Influence is the crisis of legitimacy that it precipitates. (shrink)

Can we make mistakes about what rationality requires? A natural answer is that we can, since it is a platitude that rational belief does not require truth; it is possible for a belief to be rational and mistaken, and this holds for any subject matter at all. However, the platitude causes trouble when applied to rationality itself. The possibility of rational mistakes about what rationality requires generates a puzzle. When combined with two further plausible claims – the enkratic principle, and (...) the claim that rational requirements apply universally – we get the result that rationality generates inconsistent requirements. One popular and attractive solution to the puzzle denies that it is possible to make rational mistakes about what rationality requires. I show why (contra Titelbaum (2015b), and Littlejohn (2015)) this solution is doomed to fail. (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)

I argue that on Aristotle’s account practical thinking is thinking whose origin (archē) is a desire that has as its object the very thing that one reasons about how to promote. This feature distinguishes practical from productive reasoning since in the latter the desire that initiates it is not (unless incidentally) a desire for the object that one productively reasons about. The feature has several interesting consequences: (a) there is only a contingent relationship between the desire that one practically reasons (...) about how to satisfy and the action one decides on; (b) practical thinking and action cannot be separated from the agent, whereas productive thinking and production can be outsourced to someone else. The view has consequences also for the distinction between action and production. Finally, I illustrate the usefulness and correctness of my account of practical thinking by using it to shed new light on Aristotle’s claim that the virtuous agent must decide on her virtuous actions ‘for themselves’. (shrink)

I argue that, for Aristotle, virtue of character is a state of the non-rational part of the soul that makes one prone to making and acting on decisions in virtue of that part’s standing in the right relation to (correct) reason, namely, a relation that qualifies the agent as a true self-lover. In effect, this central feature of virtue of character is nothing else than love of practical wisdom. As I argue, it not only explains how reason can hold direct (...) authority over non-rational desires but also why Aristotle defines virtue of character as hexis prohairetikē. (shrink)

Is logic normative for belief? A standard approach to answering this question has been to investigate bridge principles relating claims of logical consequence to norms for belief. Although the question is naturally an epistemic one, bridge principles have typically been investigated in isolation from epistemic debates over the correct norms for belief. In this paper we tackle the question of whether logic is normative for belief by proposing a Kripkean model theory accounting for the interaction between logical, doxastic, epistemic and (...) deontic notions and using this model theory to show which bridge principles are implied by epistemic norms that we have independent reason to accept, for example, the knowledge norm and the truth norm. We propose a preliminary theory of the interaction between logical, doxastic, epistemic and deontic notions that has among its commitments bridge principles expressing how logic is normative for belief. We also show how our framework suggests that logic is exceptionally normative. (shrink)

This paper is a philosophical discussion about the link between utopianism and responsibility. It argues that our time demands a strong practice of political responsibility in both organizations and society based on what has been called ‘real utopianism’. It takes as a starting point Hans Jonas’ critique of utopianism. Keeping in mind the horrors of the Second World War this Jewish thinker disconnected the principle of responsibility from the idea of utopianism, and connected it to a ‘heuristics of fear’ – (...) we should be careful with ‘wild’ new technologies, but also with new utopian perspectives. In a second step Jonas’ predecessors and utopian thinkers Martin Buber, Ernst Bloch and Ernest Callenbach are revisited. They show that a fully conceptualized idea of utopianism includes at least three dimensions of responsibility: subsistence, justice and spirituality. I then argue that if one digs deeper into the work of Jonas, it seems that the concept of responsibility in fact implies the courage to overcome a heuristics of fear. This paper therefore argues that there is no need to radically disjunct responsibility from utopianism and that the concept of responsibility actually opens a path to ‘real utopianism’. Such a concept of responsibility can best be supported by a confessionally neutral but nonetheless spiritual eco-humanist worldview that develops a new attitude towards nature, in which (eco)asceticism, morality and spirituality become intertwined. (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)

A familiar part of debates about supererogatory actions concerns the role that cost should play. Two camps have emerged: one claiming that extreme cost is a necessary condition for when an action is supererogatory, while the other denies that it should be part of our definition of supererogation. In this paper, I propose an alternative position. I argue that it is comparative cost that is central to the supererogatory and that it is needed to explain a feature that all accounts (...) agree is central to the very notion of supererogation: optionality. Perhaps because of this agreement on its importance, few attempts have been made to clarify and explain the notion of optionality. I argue that giving an account of the optionality of supererogatory requires drawing a line between doing the bare minimum permissible and going beyond the bare minimum and that this line ought to be drawn based on comparative cost of alternative permissible acts. Having outlined my account and motivated it, I discuss and reject two concerns that might be raised: firstly, that it is extreme cost, not comparative cost, that matters and, secondly, that in fact no cost is needed for an act to be supererogatory. (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)

One of metaepistemology’s most central debates revolves around the question of what the source of epistemic normativity is. Epistemic instrumentalism claims that epistemic normativity is a species of means-ends normativity. One of the most prominent objections against epistemic instrumentalism features cases of epistemic indifference: Cases where there’s evidence that p yet believing that p wouldn’t promote any of the agent’s aims, wants, or needs. Still, there’s an epistemic reason for the agent to believe that p and thus epistemic instrumentalism is (...) false. In response, instrumentalists have modified their views in various ways, with new contributions still forthcoming. Here, we investigate a neglected aspect of this debate: Laypeople’s judgments on cases of epistemic indifference. In two studies, we investigated whether laypeople agree with the verdict in cases of epistemic indifference as well as the key ideas behind the more recent instrumentalist replies. Our findings indicate that a significant amount of participants found it hard to “buy into” the cases of epistemic indifference as Kelly has constructed them. Participants did generally share Kelly’s judgment in cases of epistemic indifference. Lastly, some instrumentalist replies are well suited to explain participants’ judgments that agents ought to believe in cases of epistemic indifference. (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)

In this paper I am addressing the question whether Nāgārjuna’s doctrine should be understood as a theory that describes reality itself (ontology) or as a theory of our relation to reality (epistemological, logical, psychological, etc.). To answer this question, I propose to compare Nāgārjuna’s concept of emptiness to that of ‘caducity’, a key element in the ontology of Renaissance Neoplatonist philosopher Francisco Patrizi. By showing that these concepts are similar, I argue that Nāgārjuna’s standpoint can be considered as that of (...) ontology. (shrink)

Political deepfakes have prompted outcry about the diminishing trustworthiness of visual depictions, and the epistemic and political threat this poses. Yet this new technique is being used overwhelmingly to create pornography, raising the question of what, if anything, is wrong with the creation of deepfake pornography. Traditional objections focusing on the sexual abuse of those depicted fail to apply to deepfakes. Other objections—that the use and consumption of pornography harms the viewer or other (non-depicted) individuals—fail to explain the objection that (...) a depicted person might have to the creation of deepfake pornography that utilises images of them. My argument offers such an explanation. It begins by noting that the creation of sexual images requires an act of consent, separate from any consent needed for the acts depicted. Once we have separated these out, we can see that a demand for consent can arise when a sexual image is of us, even when no sexual activity was actually engaged in, as in the case of deepfake pornography. I then demonstrate that there are two ways in which an image can be ‘of us’, both of which can exist in the case of deepfakes. Thus, I argue: if a person, their likeness, or their photograph is used to create pornography, their consent is required. Whenever the person depicted does not consent (or in the case of children, can’t consent), that person is wronged by the creation of deepfake pornography and has a claim against its production. (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)

There is a wide range of things we do out of emotion. For example, we smile with pleasure, our voices drop when we are sad, we recoil in shock or jump for joy, we apologize to others out of remorse. It is uncontroversial that some of these behaviors are actions. Clearly, apologizing is an action if anything is. Things seem less clear in the case of other emotional behaviors. Intuitively, the drop in a sad person’s voice is something that happens (...) to her, rather than something she actively performs. Perhaps more interestingly, even jumping for joy can seem a problematic case: although its execution involves the active performance of certain movements, it has been argued to contrast, e.g., with an act of apology, in that it is not performed in order to achieve some end, such as repairing a relationship. This can make this behavior seem considerably different from paradigm actions. Our central concern in this paper is with which emotional behaviors should be classed as actions and why... (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)

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 paper, I argue that the widely held view that Aristotle's vicious agent is a principled follower of a wrong conception of the good whose soul, just like the soul of the virtuous agent, is marked by harmony between his reason and non-rational desires is an exegetical mistake. Rather, Aristotle holds – consistently and throughout the Nicomachean Ethics – that the vicious agent lacks any real principles of action and that his soul lacks unity and harmony even more than (...) the soul of the uncontrolled agent. (shrink)

Standing in San Marco Cathedral in Venice, you immediately notice the exquisitely decorated spandrels: the triangular spaces bounded on either side by adjoining arches and by the dome above. You would be forgiven for seeing them as the starting point from which to understand the surrounding architecture. To do so would, however, be a mistake. It is a similar mistaken inference that evolutionary biologists have been accused of making in assuming a special adaptive purpose for such biological features as fingerprints (...) and chins. I argue that a mistake of just this sort is being made by ethicists who appeal to the intrinsic value of supererogatory acts in their efforts to make space for supererogation in ethical theory. Many cases of supererogatory action are simply spandrels: by-products of uncontroversial commitments elsewhere in our moral thought. This is not to downplay their value but rather to show that their value need not be the justification for making room for the supererogatory. I demonstrate this by examining two areas: rights and the distribution of burdens among a group. My argument has significance for those who take themselves to be defends of the possibility of supererogatory actions, as well as those who are committed to the contrary and those who believe themselves to be indifferent on the matter. (shrink)

Cumulative cultural knowledge [CCK], the knowledge we acquire via social learning and has been refined by previous generations, is of central importance to our species’ flourishing. Considering its importance, we should expect that our best epistemological theories can account for how this happens. Perhaps surprisingly, CCK and how we acquire it via cultural learning has only received little attention from social epistemologists. Here, I focus on how we should epistemically evaluate how agents acquire CCK. After sampling some reasons why extant (...) theories cannot account for CCK, I suggest that things aren’t as bleak as they might look. I explain how agents deserve epistemic credit for how CCK is transmitted in cultural learning by promoting a central need of their social group: The efficient and safe transmission of CCK. A good initial fit exists between this observation and Greco’s knowledge-economy framework. Ultimately, however, Greco’s account doesn’t straightforwardly account for CCK because of its strict focus on testimony. I point out two issues in the framework due to this focus. The resulting view advocates giving epistemic credit to agents when they act to promote their communities’ epistemic needs in the right way and highlights the various ways in which agents come to do this. (shrink)

A shared narrative in the literature on the evolution of cooperation maintains that social _learning_ evolves early to allow for the transmission of cumulative culture. Social _norms_, whilst present at the outset, only rise to prominence later on, mainly to stabilise cooperation against the threat of defection. In contrast, I argue that once we consider insights from social epistemology, an expansion of this narrative presents itself: An interesting kind of social norm — an epistemic coordination norm — was operative in (...) early and important instances of specialised social learning. I show how there’s a need for such norms in two key social learning strategies and explain how this need is constituted. In assessor-teaching (e.g. Castro et al., 2019b, 2021), epistemic coordination norms allow agents to coordinate around the _content_ of social learning, i.e., what is to be known and how this is to be done. These norms also allow agents to coordinate around the form of cultural learning in what’s sometimes called strategic social learning (Laland, 2004; Hoppitt & Laland, 2013; Heyes, 2018, Chap. 5) and elsewhere. Broadly speaking, this concerns how cultural learning is organised within the social group. The upshot is that the evolution of social learning and social norms are intertwined in important and underappreciated ways from early on. The above matters as it informs our views about the evolution of social norms more generally. Truly _social_ norms emerged to coordinate a plurality of complex behaviours and interactions, amongst them specialised social learning. I substantiate this view by contrasting it with Jonathan Birch’s views on the evolution of norms. What results is a general but cohesive narrative on the early evolution of social norms. (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.

Goethes Protest gegen Newtons Theorie des Lichts und der Farben ist besser, als man gemeinhin denkt. Man kann diesem Protest in den wichtigsten Elementen folgen, ohne Newton in der physikalischen Sache unrecht zu geben. Laut meiner Interpretation hat Goethe in Newtons wissenschaftsphilosophischer Selbsteinschätzung eine entscheidende Schwäche aufgedeckt: Newton glaubte, mithilfe prismatischer Experimente beweisen zu können, dass das Licht der Sonne aus Lichtstrahlen verschiedener Farben zusammengesetzt sei. Goethe zeigt, dass dieser Übergang vom Beobachtbaren zur Theorie problematischer ist, als Newton wahrhaben wollte. (...) Wenn Goethe darauf beharrt, dass uns der Übergang zur Theorie nicht von den Phänomenen aufgezwungen wird, dann kommt dadurch unser eigener, freier und kreativer Beitrag zur Theorie-Bildung ans Tageslicht. Und diese Einsicht Goethes gewinnt eine überraschende Schärfe, weil Goethe plausibel machen kann, dass sich alle entscheidenden prismatischen Experimente Newtons aus der geometrischen Optik ebenso gut mit einer alternativen Theorie vereinbaren lassen. Wenn ich recht sehe, war Goethe der erste Wissenschaftsphilosoph, der mindestens eine empirisch äquivalente Alternative zu einer wohletablierten physikalischen Theorie gesehen und daraus weitreichende wissenschaftstheoretische Schlüsse gezogen hat: Damit war Goethe seiner Zeit um ein gutes Jahrhundert voraus. (shrink)

Die Skeptikerin fragt, wie wir ausschließen können, dass all unsere Erlebnisse auf einem umfassenden Traum beruhen. Träfe ihre Befürchtung zu, dann wären alle unsere Meinungen über die äußere Welt falsch, und da wir das nicht ausschließen können, haben wir (so folgert sie) keinerlei Wissen über die Welt. Um dem zu begegnen, könnte man der Skeptikerin vorwerfen, dass sie unsere gemeinsame Sprache missbraucht. Welche Wörter missbraucht sie? Welche Wörter gebraucht sie so anders, dass wir uns um ihre Überlegung nicht scheren müssen? (...) Ich spiele das sprachkritische Manöver gegen die Skeptikerin zunächst anhand des Wissensbegriffs durch (und komme zu dem Ergebnis, dass wir nicht klar genug sagen können, worin die unstrittige Bedeutung des Wortes "Wissen" besteht). Dann versuche ich es mit weniger tiefsinnigen Wörtern wie "Tiger". Wer stets träumt, gebraucht solche Wörter anders als wir, so die Überlegung. Dieser Gedanke funktioniert nur, wenn wir die Existenz von Außenwelt-Dingen voraussetzen dürfen; und diese Voraussetzung bestreitet die Skeptikerin. Daher spiele ich das sprachkritische Manöver zuguterletzt anhand des Traumbegriffs durch. Jemand kann das Wort "Traum" überhaupt nur dann gelernt haben, wenn er manchmal, aber nicht immer geträumt hat. Ergebnis: Entweder ich verstehe das Wort "Traum". Dann träume ich nicht seit jeher. Oder ich verstehe das Wort nicht. Dann brauche ich mich vom Traum-Argument auch nicht an meinen Wissens-Ansprüchen irre machen zu lassen. (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 open access book revises Kant’s ethical thought in one of its most notorious respects: its exclusion of animals from moral consideration. The book gives readers in animal ethics an accessible introduction to Kant’s views on our duties to others, and his view that we have only ‘indirect’ duties regarding animals. It then investigates how one would have to depart from Kant in order to recognise that animals matter morally for their own sake. Particular attention is paid to Kant’s ‘Formula (...) of Humanity,' the role of autonomy and the moral law, as well as Kant’s notions of practical reason and animal instinct. The result is a deliberately amended version of Kantianism which nevertheless remains faithful to central aspects of Kant’s thought. The book’s final part illustrates the framework’s use in applied contexts, addressing the issues of using animals as mere means, the ethics of veganism and vegetarianism, and environmental protection. Nico Dario Müller shows how, when furnished with duties to animals, Kant's moral philosophy can be a powerful resource for animal ethicists. (shrink)

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

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

While the consequences of mathematically-based software, algorithms and strategies have become ever wider and better appreciated, ethical reflection on mathematics has remained primitive. We review the somewhat disconnected suggestions of commentators in recent decades with a view to piecing together a coherent approach to ethics in mathematics. Calls for a Hippocratic Oath for mathematicians are examined and it is concluded that while lessons can be learned from the medical profession, the relation of mathematicians to those affected by their work is (...) significantly different. There is something to be learned also from the codes of conduct of cognate but professionalised quantitative disciplines such as engineering and accountancy, as well as from legal principles bearing on professional work. We conclude with recommendations that professional societies in mathematics should sponsor an (international) code of ethics, institutional mission statements for mathematicians and syllabuses of ethics courses for incorporation into mathematics degrees. (shrink)

The perhaps most challenging problem for a panentheistic paradigm in Christian god-talk consists in integrating the trait of personhood in the monistic horizon of this approach. A very helpful way to this goal seems to be the concept of imagination. Its logic of an “as if” represents a modified variation of Kant`s idea of the postulates of reason. Reflections of Jürgen Werbick, Douglas Headley, and Volker Gerhardt substantiate the philosophical and theological capabilities of this solution which also include a sensibility (...) for the ontological commitments included in the panentheistic approach. (shrink)

Goethe und Schelling begannen ihre Zusammenarbeit mit intensiven optischen Experimenten. Schelling lernte von Goethe, dass sich viele Farbphänomene bipolar anordnen lassen und dass eine optische Symmetrie bzw. Dualität zwischen weißem Licht und schwarzem Schatten besteht. Goethe lernte von Schelling, dass man das Prinzip der Bipolarität als forschungsleitende Idee verstehen kann (als eine regulative Idee in Kants Sinn). In der optischen Forschung kommt man mit dieser Idee wesentlich weiter, als gemeinhin angenommen wird; ihr Potential ist bis heute nicht ausgeschöpft. Sie ist (...) u.a. deshalb in der Versenkung verschwunden, weil ihre Verfechter mit ihr unseriös über die Stränge schlugen – außerhalb der Optik. Wenn sich das hätte vermeiden lassen, wäre Goethes Farbenlehre von Physikern möglicherweise weniger feindselig aufgenommen worden. Pech für Goethe. (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)

Newton fächert einen weißen Lichtstrahl durch prismatische Brechung (Refraktion) auf und entdeckt dadurch sein Vollspektrum, das die größte Farbenvielfalt zeigt und aus Lichtstrahlen unterschiedlicher Refrangibilität besteht (1672). Laut Newtons Theorie müsste sich die Farbvielfalt seines Vollspektrums steigern lassen, wenn man den Auffangschirm immer weiter vom brechenden Prisma entfernt; denn dadurch müssten zuvor noch vermischte Lichtbündel ähnlicher Farbe schließlich doch auseinanderstreben. Diese Prognose ist empirisch falsch, wie Goethe in seiner Farbenlehre (1810) herausstreicht: Das Endspektrum enthält weniger Farben, insbesondere fehlt dort das (...) Gelb. Das ist eine Anomalie (à la Kuhn) der newtonischen Theorie. Wie lässt sich diese Anomalie erklären? Der Gelbverlust im Endspektrum muss irgendetwas mit der Licht- und Farbempfindlichkeit des menschlichen Auges zu tun haben. Aber was? Der Bezold/Brücke-Effekt bietet offenbar keine befriedigende Erklärung des Phänomens, wie ich mit Matthias Rangs experimenteller Hilfe empirisch zeige. Ein zweiter Erklärungsansatz beruft sich auf die rot/grüne spektrale Umgebung, die das Gelb offenbar in den Hintergrund treten lässt. Die Farbwahrnehmung einer farbigen Figur hat ja immer auch mit der Umgebungsfarbe zu tun, wie zum Beispiel beim Simultankontrast. Das zeigt sich im Experiment: Man kann das Gelb im Endspektrum zurückgewinnen, wenn man die anderen Farben des Spektrums abdeckt. Woran das wiederum liegt, ist bis heute ungeklärt. Es lässt sich jedenfalls nicht als Spezialfall des Simultankontrasts verstehen. (shrink)