According to an increasingly popular epistemological view, people need outright beliefs in addition to credences to simplify their reasoning. Outright beliefs simplify reasoning by allowing thinkers to ignore small error probabilities. What is outright believed can change between contexts. It has been claimed that thinkers manage shifts in their outright beliefs and credences across contexts by an updating procedure resembling conditionalization, which I call pseudo-conditionalization (PC). But conditionalization is notoriously complicated. The claim that thinkers manage their beliefs via PC is (...) thus in tension with the view that the function of beliefs is to simplify our reasoning. I propose to resolve this puzzle by rejecting the view that thinkers employ PC. Based on this solution, I furthermore argue for a descriptive and a normative claim. The descriptive claim is that the available strategies for managing beliefs and credences across contexts that are compatible with the simplifying function of outright beliefs can generate synchronic and diachronic incoherence in a thinker’s attitudes. Moreover, I argue that the view of outright belief as a simplifying heuristic is incompatible with the view that there are ideal norms of coherence or consistency governing outright beliefs that are too complicated for human thinkers to comply with. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

In the introduction to the special volume, Gilbert Ryle: Intelligence, Practice and Skill, Julia Tanney introduces the contributions of Michael Kremer, Stina Bäckström and Martin Gustafsson, and Will Small, each of which indicates concern about the appropriation of Ryle’s distinction between knowing-how and knowing-that in seminal work in contemporary epistemology. Expressing agreement with the authors that something has gone awry in these borrowings from Ryle, Tanney takes this criticism to a deeper level. She argues that the very notion of (...) content-bearing, causally-efficacious mental states, let alone representational states of knowledge-that or knowledge-how, embodies the very presuppositions that Ryle calls into question in his rejection of classical theories of meaning and his related warning of the type-errors involved in conflating rational and mechanistic explanation. That these mental posits are presupposed, unchallenged, in today’s debates make his arguments against intellectualism particularly difficult to discern. (shrink)

It seems to be a humdrum fact of human agency that we act on intentions or decisions that we have made at an earlier time. At breakfast, you look at the Taco Hut menu online and decide that later today you’ll have one of their avocado burritos for lunch. You’re at your desk and you hear the church bells ring the noon hour. You get up, walk to Taco Hut, and order the burrito as planned. As mundane as this sort (...) of scenario might seem to be, philosophers have raised a problem in understanding it. If you are simply abiding by this morning’s decision, how are you acting autonomously? Your earlier self seems to be calling the shots; if you are just acting accordingly, without thinking through it or in some other way trying to ensure that the past decision conforms to your present standpoint, it is not clear how this amounts to an exercise of your present autonomous agency. It seems, rather, that your earlier self has succeeded in slaving you to her own purposes. She was the one who wanted (intended, judged it to be good, etc.) to have an avocado burrito. In simply following through, your current self seems to be just an automaton performing the commands left behind by your former self. Of course, you might not allow yourself to be shackled by your earlier self. You might refuse to follow anything but your own present judgments: you will only go to Taco Hut if this is what you judge you should do right now, and once at Taco Hut you will only eat the avocado burrito if that is what you want to eat once there. But if this is the way you generally operate, this seems to block your ability to make effective future-directed decisions. The puzzle, then, is one of explaining how the future self can do the bidding of her past self without losing her autonomy. We call this “the Problem of Diachronic Autonomy.” Philosophers raising this problem take it to show that there must be reasons or rational requirements to follow-through with our past decisions. According to these philosophers, we can only make sense of our diachronic autonomy if our past decisions put rational pressure on us to follow through. We argue that there is no Problem of Diachronic Autonomy. There is, in other words, no puzzling situation that needs explaining. Consequently, there is no need coming from this purported puzzle to think that our future-directed decisions generate reasons or rational requirements to follow through. The correct view of our diachronic autonomy is the “naïve” one: the “future self” can do the bidding of the “past self” without giving up its autonomy because, very simply, the past self is the same agent as the future self. I am acting autonomously when I get the avocado burrito, because I was the one who decided to get the burrito. I am acting on my own freely-formed decision. (shrink)

Technologies to rapidly alert people when they have been in contact with someone carrying the coronavirus SARS-CoV-2 are part of a strategy to bring the pandemic under control. Currently, at least 47 contact-tracing apps are available globally. They are already in use in Australia, South Korea and Singapore, for instance. And many other governments are testing or considering them. Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable.

As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of (...) AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible or too strict. This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’. (shrink)

In this paper, I highlight an interesting difference between belief on the one hand, and suspended judgment and credence on the other hand. This difference is the following: credences and suspended judgments are suitable to serve as transitional as well as terminal attitudes in our reasoning, whereas beliefs are only appropriate as terminal attitudes. The notion of a transitional attitude is not an established one in the literature, but I argue that introducing it helps us better understand the different roles (...) suspended judgments and credences can play in our reasoning. Transitional and terminal attitudes have interestingly different descriptive and normative properties. I also compare my account of transitional attitudes to other inquiry-guiding attitudes that have recently been characterized in the literature and explain why they are different. (shrink)

This article highlights the limitations of the tendency to frame health- and wellbeing-related digital tools (mHealth technologies) as empowering devices, especially as they play an increasingly important role in the National Health Service (NHS) in the UK. It argues that mHealth technologies should instead be framed as digital companions. This shift from empowerment to companionship is advocated by showing the conceptual, ethical, and methodological issues challenging the narrative of empowerment, and by arguing that such challenges, as well as the risk (...) of medical paternalism, can be overcome by focusing on the potential for mHealth tools to mediate the relationship between recipients of clinical advice and givers of clinical advice, in ways that allow for contextual flexibility in the balance between patiency and agency. The article concludes by stressing that reframing the narrative cannot be the only means for avoiding harm caused to the NHS as a healthcare system by the introduction of mHealth tools. Future discussion will be needed on the overarching role of responsible design. (shrink)

This paper is about teaching probability to students of philosophy who don’t aim to do primarily formal work in their research. These students are unlikely to seek out classes about probability or formal epistemology for various reasons, for example because they don’t realize that this knowledge would be useful for them or because they are intimidated by the material. However, most areas of philosophy now contain debates that incorporate probability, and basic knowledge of it is essential even for philosophers whose (...) work isn’t primarily formal. In this paper, I explain how to teach probability to students who are not already enthusiastic about formal philosophy, taking into account the common phenomena of math anxiety and the lack of reading skills for formal texts. I address course design, lesson design, and assignment design. Most of my recommendations also apply to teaching formal methods other than probability theory. (shrink)

Epistemic permissivism is the view that it is possible for two people to rationally hold incompatible attitudes toward some proposition on the basis of one body of evidence. In this paper, I defend a particular version of permissivism – unacknowledged permissivism (UP) – which says that permissivism is true, but that no one can ever rationally believe that she is in a permissive case. I show that counter to what virtually all authors who have discussed UP claim, UP is an (...) attractive view: it is compatible with the intuitive motivations for permissivism and avoids a significant challenge to permissivism: the arbitrariness objection. (shrink)

When one is going through a personal hardship, it is often comforting, or emotionally helpful, to hear from someone else who has gone through something similar. This is a common, familiar human phenomenon, but this chapter argues that it is philosophically puzzling. Unless one is in some sort of moment of vice, one would not want the other person to have suffered the hardship, and one should be pained to hear that they have. And yet the phenomenon is that hearing (...) about their similar hardship makes one feel better, rather than worse. Why is that? The chapter considers a range of intuitive replies. It argues that while each might be part of the story, none resolves the puzzle. There remains a question as to why the phenomenon does not reflect a vice of insufficient care or concern for others. It then considers two possible answers, drawing on ideas from Adams and Bommarito, but argues that neither are satisfactory. The aim of the chapter is to bring out the puzzle and show that it is difficult to resolve. But it ends with a suggestion for a resolution. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

Taken collectively, consumer food choices have a major impact on animal lives, human lives, and the environment. But it is far from clear how to move from facts about the power of collective consumer demand to conclusions about what one ought to do as an individual consumer. In particular, even if a large-scale shift in demand away from a certain product (e.g., factory-farmed meat) would prevent grave harms or injustices, it typically does not seem that it will make a difference (...) whether one refrains from purchasing that product oneself. Most present-day food companies operate at too large a scale for a single purchase to make a difference to production decisions. If that is true, then it is not clear what point there is in refraining. This is “the problem of collective impact.” This chapter explores a range of proposals for how to solve this problem. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...) the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

There is long standing agreement both among philosophers and linguists that the term ‘counterfactual conditional’ is misleading if not a misnomer. Speakers of both non-past subjunctive (or ‘would’) conditionals and past subjunctive (or ‘would have’) conditionals need not convey counterfactuality. The relationship between the conditionals in question and the counterfactuality of their antecedents is thus not one of presupposing. It is one of conversationally implicating. This paper provides a thorough examination of the arguments against the presupposition view as applied to (...) past subjunctive conditionals and finds none of them conclusive. All the relevant linguistic data, it is shown, are compatible with the assumption that past subjunctive conditionals presuppose the falsity of their antecedents. This finding is not only interesting on its own. It is of vital importance both to whether we should consider antecedent counterfactuality to be part of the conventional meaning of the conditionals in question and to whether there is a deep difference between indicative and subjective conditionals. (shrink)

In the literature on philosophical progress it is often assumed that agreement is a necessary condition for progress. This assumption is sensible only if agreement is a reliable sign of the truth, since agreement on false answers to philosophical questions would not constitute progress. This paper asks whether agreement among philosophers is (or would be) likely to be a reliable sign of truth. Insights from social choice theory are used to identify the conditions under which agreement among philosophers would be (...) a reliable indicator of the truth, and it is argued that we lack good reason to think that philosophical inquiry meets these conditions. The upshot is that philosophical agreement is epistemically uninformative: agreement on the answer to a philosophical question does not supply even a prima facie reason to think that the agreed-upon view is true. However, the epistemic uninformativeness of philosophical agreement is not an indictment of philosophy's progress, because philosophy is valuable independent of its ability to generate agreement on the correct answers to philosophical questions. (shrink)

This paper proposes a novel answer to the question of what attitude agents should adopt when they receive misleading higher-order evidence that avoids the drawbacks of existing views. The answer builds on the independently motivated observation that there is a difference between attitudes that agents form as conclusions of their reasoning, called terminal attitudes, and attitudes that are formed in a transitional manner in the process of reasoning, called transitional attitudes. Terminal and transitional attitudes differ both in their descriptive and (...) in their normative properties. When an agent receives higher-order evidence that they might have reasoned incorrectly to a belief or credence towards p, then their attitude towards p is no longer justified as a terminal attitude towards p, but it can still be justified as a transitional attitude. This view, which I call the unmooring view, allows us to capture the rational impact of misleading higher-order evidence in a way that integrates smoothly with a natural picture of epistemic justification and the dynamics of deliberation. (shrink)

This chapter concerns the nature of our obligations as individuals when it comes to our emissions-producing activities and climate change. The first half of the chapter argues that the popular ‘expected utility’ approach to this question faces a problematic dilemma: either it gives skeptical verdicts, saying that there are no such obligations, or it yields implausibly strong verdicts. The second half of the chapter diagnoses the problem. It is argued that the dilemma arises from a very general feature of the (...) view, and thus is shared by other views as well. The chapter then discusses what an account of our individual obligations needs to look like if it is to avoid the dilemma. Finally, the discussion is extended beyond climate change to other collective impact contexts. (shrink)

Digital Health Tools (DHTs), also known as patient self-surveilling strategies, have increasingly been promoted by health-care policy makers as technologies that have the capacity to transform patients’ lives. At the heart of the debate is the notion of empowerment. In this paper, we argue that what is required is not so much empowerment but rather a shift to enabling DHTs as digital companions. This will enable policy makers and health-care system designers to provide a more balanced view—one that capitalises on (...) the benefits of DHTs, while minimising the risks of potential harms. -/- . (shrink)

To a superficial consideration, art criticism might appear as a profession of a parasitic nature, nourishing itself on what is produced by others: by artists. In fact, however, the relation between artistic practice and its criticism is more adequately conceived of as a sort of symbiosis. For, while it is true that criticism depends on and presupposes the existence of its objects - that is, works of art - on the other hand nothing would prevent good art from being equated (...) with and contaminated by bad art if critics ceased to draw a distinction between the two. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

In his new book "The Importance of Being Rational", Errol Lord aims to give a real definition of the property of rationality in terms of normative reasons. If he can do so, his work is an important step towards a defense of ‘reasons fundamentalism’ – the thesis that all complex normative properties can be analyzed in terms of normative reasons. I focus on his analysis of epistemic rationality, which says that your doxastic attitudes are rational just in case they are (...) correct responses to the objective normative reasons you possess. For some fact to be an objective normative reason to do something that you possess, you have to be in a position to know this fact and be able to competently use it as a reason to do that thing. Lord’s view is thus a knowledge-first view about possessing normative reasons. Throughout the book, Lord conceptualizes belief in the traditional tripartite way – if you take any attitude at all towards a proposition, then you either believe it, or disbelieve it, or you suspend judgment about it. Lord doesn’t discuss cases in which we’re uncertain. Yet, those cases are ubiquitous. I explore how his view can be extended to them. I first discuss whether his strategy for vindicating coherence requirements in terms of normative reasons can be applied to credences. I then ask how Lord can conceive of the doxastic attitudes that encode uncertainty . (shrink)

We argue that the evolutionary function of reasoning is to allow us to secure more accurate beliefs and more effective intentions through collective deliberation. This sets our view apart both from traditional intellectualist accounts, which take the evolutionary function to be individual deliberation, and from interactionist accounts such as the one proposed by Mercier and Sperber, which agrees that the function of reasoning is collective but holds that it aims to disseminate, rather than come up with, accurate beliefs. We argue (...) that our collectivized intellectualism offers the best explanation of the range of biases that human reasoning is prone to, and that it does better than interactionism at offering a function of reasoning that would have been adaptive for our distant ancestors who first evolved this capacity. (shrink)

The pejorative connotation often associated with the ordinary language meaning of “conspiracy theory” does not only stem from a conspiracy theory’s being about a conspiracy, but also from a conspiracy theory’s being regarded as a particular kind of theory. I propose to understand conspiracy theory-induced polarization in terms of disagreement about the correct epistemic evaluation of ‘theory’ in ‘conspiracy theory’. By framing the positions typical in conspiracy theory-induced polarization in this way, I aim to show that pejorative conceptions of ‘conspiracy (...) theory’ are problematic for research open to the possibility of finding depolarization strategies. That is, because they preclude constructive engagement with the epistemic norms governing (the rationales foundational of) belief in conspiracy theories. (shrink)

Standard arguments for Bayesian conditionalizing rely on assumptions that many epistemologists have criticized as being too strong: (i) that conditionalizers must be logically infallible, which rules out the possibility of rational logical learning, and (ii) that what is learned with certainty must be true (factivity). In this paper, we give a new factivity-free argument for the superconditionalization norm in a personal possibility framework that allows agents to learn empirical and logical falsehoods. We then discuss how the resulting framework should be (...) interpreted. Does it still model norms of rationality, or something else, or nothing useful at all? We discuss five ways of interpreting our results, three that embrace them and two that reject them. We find one of each kind wanting, and leave readers to choose among the remaining three. (shrink)

Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the EU´s new Artificial Intelligence Act (AIA) will be implemented and enforced by various institutional bodies, thus clarifying the governance framework of the AIA. Second, it proposes a normative model of governance, providing recommendations to ensure uniform and coordinated execution of the AIA and the fulfilment of the legislation. Taken together, the article explores how the (...) AIA may be implemented by national and EU institutional bodies, encompassing longstanding bodies, such as the European Commission, and those newly established under the AIA, such as the AI Office. It investigates their roles across supranational and national levels, emphasizing how EU regulations influence institutional structures and operations. These regulations may not only directly dictate the structural design of institutions but also indirectly request administrative capacities needed to enforce the AIA. (shrink)

This entry provides an overview of the current state of the debate between epistemic permissivists and impermissivists. Three important choice points for the permissivist are identified, and implications are discussed for plausibility of the resulting versions of permissivism.

Napolitano (2021) argues that the Minimalist Account of conspiracy theories—i.e., which defines conspiracy theories as explanations, or theories, about conspiracies—should be rejected. Instead, she proposes to define conspiracy theories as a certain kind of belief—i.e., an evidentially self-insulated belief in a conspiracy. Napolitano argues that her account should be favored over the Minimalist Account based on two considerations: ordinary language intuitions and theoretical fruitfulness. I show how Napolitano’s account fails its own purposes with respect to these two considerations and so (...) should not be favored over the Minimalist Account. Furthermore, I propose that the Minimalist Account is the best conception of ‘conspiracy theory’ if we share Napolitano’s goal of advancing the understanding of conspiracy theories. (shrink)

On 8th August 2019, Secretary of State for Health and Social Care, Matt Hancock, announced the creation of a £250 million NHS AI Lab. This significant investment is justified on the belief that transforming the UK’s National Health Service (NHS) into a more informationally mature and heterogeneous organisation, reliant on data-based and algorithmically-driven interactions, will offer significant benefit to patients, clinicians, and the overall system. These opportunities are realistic and should not be wasted. However, they may be missed (one may (...) recall the troubled Care.data programme) if the ethical challenges posed by this transformation are not carefully considered from the start, and then addressed thoroughly, systematically, and in a socially participatory way. To deal with this serious risk, the NHS AI Lab should create an Ethics Advisory Board and monitor, analyse, and address the normative and overarching ethical issues that arise at the individual, interpersonal, group, institutional and societal levels in AI for healthcare. (shrink)

Over the past year, technology companies have made headlines claiming that their artificially intelligent (AI) products can outperform clinicians at diagnosing breast cancer, brain tumours, and diabetic retinopathy. Claims such as these have influenced policy makers, and AI now forms a key component of the national health strategies in England, the United States, and China. While it is positive to see healthcare systems embracing data analytics and machine learning, concerns remain about the efficacy, ethics, and safety of some commercial, AI (...) health solutions. This paper argues that improved regulation and guidance is urgently required to mitigate risks, ensure transparency and best practice, Without this, patients, clinicians, and other stakeholders cannot be assured of an app’s efficacy, and safety. (shrink)

Regulation by design (RBD) is a growing research field that explores, develops, and criticises the regulative function of design. In this article, we provide a qualitative thematic synthesis of the existing literature. The aim is to explore and analyse RBD’s core features, practices, limitations, and related governance implications. To fulfil this aim, we examine the extant literature on RBD in the context of digital technologies. We start by identifying and structuring the core features of RBD, namely the goals, regulators, regulatees, (...) methods, and technologies. Building on that structure, we distinguish among three types of RBD practices: compliance by design, value creation by design, and optimisation by design. We then explore the challenges and limitations of RBD practices, which stem from risks associated with compliance by design, contextual limitations, or methodological uncertainty. Finally, we examine the governance implications of RBD and outline possible future directions of the research field and its practices. (shrink)

AI, in the form of artificial carers, provides a possible solution to the problem of a growing elderly population Yet, concerns remain that artificial carers ( such as care-or chat-bots) could not emphathize with patients to the extent that humans can. Utilising the concept of empathy perception,we propose a Turing-type test that could check whether artificial carers could do many of the menial tasks human carers currently undertake, and in the process, free up more time for doctors to offer empathy. (...) -/- . (shrink)

A companion volume to the best-selling Mass Media and Society. this collection provides a lively and authoritative introduction to cultural studies, written by some of the most influential scholars and researchers in the field. It offers a critical guided tour of the key debates raised by feminism, postmodernism, the politics of identity, and theories of ideology. It goes beyond a narrow definition of cultural studies in terms of the audience to consider the entire communication circuit from production to consumption within (...) a wider theoretical framework. (shrink)

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

"I have a tree, which grows here in my close, / That mine own use invites me to cut down, / And shortly I must fell it" (Shakespeare 2001, 168)—Timon's lament, which in Shakespeare's rendition occurs shortly before its utterer's demise "upon the beached verge of the salt flood" (2001, 168) beyond the perimeter of Athens, is an indictment of the nature that Timon finds unable to escape. Having given away his wealth in misguided generosity to a host of parasitic (...) sycophants, Timon turns misanthropic when his "friends" reject his requests for help in kind to repay his debts, eventually exiling himself from the city with the intent of sustaining himself on nothing but water and roots. Yet he soon finds that removing .. (shrink)

This reply to an ongoing debate between conspiracy theory researchers from different disciplines exposes the conceptual confusions that underlie some of the disagreements in conspiracy theory research. Reconciling these conceptual confusions is important because conspiracy theories are a multidisciplinary topic and a profound understanding of them requires integrative insights from different fields. Specifically, we distinguish research focussing on conspiracy *theories* (and theorizing) from research of conspiracy *belief* (and mindset, theorists) and explain how particularism with regards to conspiracy theories does not (...) mean we cannot define a problematic subclass of conspiracy beliefs, while avoiding the problems of generalism. We hope this reply helps conspiracy theory researchers recognize the differences between studying conspiracy theories and conspiracy beliefs and appreciate the possibilities for fruitful, integrative, and interdisciplinary research. (shrink)

This article examines the distinction between active matter and active materials, and it offers foundational remarks toward a system of classification for active materials. Active matter is typically identified as matter that exhibits two characteristic features: self-propelling parts, and coherent dynamical activity among the parts. These features are exhibited across a wide range of organic and inorganic materials, and they are jointly sufficient for classifying matter as active. Recently, the term “active materials” has entered scientific use as a complement, supplement, (...) and extension of “active matter.” At the same time, new work in the philosophy of science has considered the problem of how to classify the products of synthetic and laboratory processes, and the extent to which the aims of classifying natural kinds compare and contrasts with the aims of classifying these synthetic kinds. In this article, I apply those considerations to the problems of classifying and characterizing active materials. In doing so, I also argue for a conception of active materials’ coherent dynamical activity as multiscale, rather than emergent, and I discuss how the special non-equilibrium status of active materials factors in to classificatory concerns. (shrink)

Hohwy et al.’s (2008) model of binocular rivalry (BR) is taken as a classic illustration of predictive coding’s explanatory power. I revisit the account and show that it cannot explain the role of reward in BR. I then consider a more recent version of Bayesian model averaging, which recasts the role of reward in (BR) in terms of optimism bias. If we accept this account, however, then we must reconsider our conception of perception. On this latter view, I argue, organisms (...) engage in what amounts to policy-driven, motivated perception. (shrink)

I argue for the role of reinforcement learning in the philosophy of mind. To start, I make several assumptions about the nature of reinforcement learning and its instantiation in minds like ours. I then review some of the contributions of reinforcement learning methods have made across the so-called 'decision sciences.' Finally, I show how principles from reinforcement learning can shape philosophical debates regarding the nature of perception and characterisations of desire.

This paper examines the surprisingly central role of sympathetic love within Margaret Cavendish’s philosophy. It shows that such love fulfils a range of metaphysical functions, and highlight an important shift in Cavendish’s account vis-a-vis earlier conceptions: sympathetic love is no longer given an emanative or mechanistic explanation, but is naturalized as an active emotion. It furthers investigate to what extent Cavendish’s account reveals a rift between the realm of nature and the realm of human sociability, and whether this rift really (...) prompts an inward turn, as some interpreters have suggested. (shrink)

An agent exercises instrumental rationality to the degree that she adopts appropriate means to achieving her ends. Adopting appropriate means to achieving one’s ends can, in turn, involve overcoming one’s strongest desires, that is, it can involve exercising synchronic self-control. However, contra prominent approaches, I deny that synchronic self-control is possible. Specifically, I draw on computational models and empirical evidence from cognitive neuroscience to describe a naturalistic, multi-system model of the mind. On this model, synchronic self-control is impossible. Must we, (...) then, give up on a meaningful conception of instrumental rationality? No. A multi-system view still permits something like synchronic self-control: an agent can control her very strong desires. Adopting a multi-system model of the mind thus places limitations on our conceptions of instrumental rationality, without requiring that we abandon the notion altogether. (shrink)

Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: education, (...) employment, financial services, social media, and the digital well-being industry. We analyse the ethical risks of deploying digital psychiatry in these sectors, emphasising key problems and opportunities for public health, and offer recommendations for protecting and promoting public health and well-being in information societies. (shrink)

We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key (...) ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare. (shrink)

This volume tells the story of the legacy and impact of the great German polymath Gottfried Wilhelm Leibniz (1646-1716). Leibniz made significant contributions to many areas, including philosophy, mathematics, political and social theory, theology, and various sciences. The essays in this volume explores the effects of Leibniz’s profound insights on subsequent generations of thinkers by tracing the ways in which his ideas have been defended and developed in the three centuries since his death. Each of the 11 essays is concerned (...) with Leibniz’s legacy and impact in a particular area, and between them they show not just the depth of Leibniz’s talents but also the extent to which he shaped the various domains to which he contributed, and in some cases continues to shape them today. With essays written by experts such as Nicholas Jolley, Pauline Phemister, and Philip Beeley, this volume is essential reading not just for students of Leibniz but also for those who wish to understand the game-changing impact made by one of history’s true universal geniuses. (shrink)

With the progress of artificial intelligence, the digitalization of the lifeworld, and the reduction of the mind to neuronal processes, the human being appears more and more as a product of data and algorithms. Thus, we conceive ourselves “in the image of our machines,” and conversely, we elevate our machines and our brains to new subjects. At the same time, demands for an enhancement of human nature culminate in transhumanist visions of taking human evolution to a new stage. Against this (...) self-reification of the human being, the present book defends a humanism of embodiment: our corporeality, vitality, and embodied freedom are the foundations of a self-determined existence, which uses the new technologies only as means instead of submitting to them. The book offers an array of interventions directed against a reductionist naturalism in various areas of science and society. As an alternative, it offers an embodied and enactive account of the human person: we are neither pure minds nor brains, but primarily embodied, living beings in relation with others. This general concept is applied to issues such as artificial intelligence (AI), transhumanism and enhancement, virtual reality, neuroscience, embodied freedom, psychiatry, and finally to the accelerating dynamics of current society which lead to an increasing disembodiment of our everyday life. The book thus applies cutting-edge concepts of embodiment and enactivism to current scientific, technological, and cultural tendencies that will crucially influence our society’s development in the twenty-first century. (shrink)

Social work is a contested tradition, torn between the demands of social governance and autonomy. Today, this struggle is reflected in the division between the dominant, neoliberal agenda of service provision and the resistance offered by various critical perspectives employed by disparate groups of practitioners serving diverse communities. Critical social work challenges oppressive conditions and discourses, in addition to addressing their consequences in individuals’ lives. However, very few recent critical theorists informing critical social work have advocated revolution. A challenging exception (...) can be found in the work of Cornelius Castoriadis (1922–97), whose explication of ontological underdetermination and creation evades the pitfalls of both structural determinism and post-structural relativism, enabling an understanding of society as the contested creation of collective imaginaries in action and a politics of radical transformation. On this basis, we argue that Castoriadis’s radical-democratic revisioning of revolutionary praxis can help in reimagining critical social work’s emancipatory potential. (shrink)