In recruitment, promotion, admission, and other forms of wealth and power apportion, an evaluator typically ranks a set of candidates in terms of their competence. If the evaluator is prejudiced, the resulting ranking will misrepresent the candidates’ actual rankings. This constitutes not only a moral and a practical problem, but also an epistemological one, which begs the question of what we should do—epistemologically—to mitigate it. In a recent paper, Jönsson and Sjödahl in [Episteme 14:499–517, 2017], argue that the epistemic problem (...) can be fruitfully addressed by way of a novel statistical method that changes the products of biased behaviour, i.e. the rankings themselves, rather than the biased persons. Jönsson and Sjödahl’s pioneering proposal is a both a welcome addition to the literature on implicit bias, due the problems with existing implicit bias interventions [see e.g. Lai et al. in J Exp Psychol Gen 143:1765–1785; J Exp Psychol Gen 145:1001–1016, 2014; 2016; Forscher et al. in J Person Soc Psychol 117:522–559, 2019] but also to the literature on prejudice more generally, where many proposed prejudice-reduction strategies enjoy less than adequate empirical support [Paluck and Green in Ann Rev Psychol 60:339–367, 2009]. Their proposal, however, needs supplementation in two ways: the circumstances that must hold in order for it to work needs to be refined, and their claim that it works as intended in these circumstances needs to be validated. We argue that four of Jönsson and Sjödahl’s method’s presumed presuppositions can be weakened, but needs to be supplemented by two additional assumptions, overlooked by Jönsson and Sjödahl. Moreover, we demonstrate that the method does work as intended by way of a statistical simulation. (shrink)

Definite descriptions occurring within the scopes of psychological verbs provide more puzzles than are traditionally acknowledged. This article presents one puzzle that is particularly intriguing.

This study explores the relationship between people's values, loci of control and pro-environmental behaviours. 'Locus of control' refers to the extent to which people attribute control over events in life either to themselves or to external sources beyond their influence: in the former case, the individual is described as having an internal locus of control, and in the latter, an external one. The study hypothesised, and subsequently concluded, that self-transcendent values and internal loci of control were positively related to pro-environmental (...) behaviours, and also that loci of control moderate the link between people's values and behaviour; people with a low degree of self-transcendence values behave pro-environmentally if they have an internal locus of control. (shrink)

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind (...) is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. (shrink)

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing (...) should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation. (shrink)

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing (...) should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation. (shrink)

In the limited literature on gender and climate change, two themes predominate – women as vulnerable or virtuous in relation to the environment. Two viewpoints become obvious: women in the South will be affected more by climate change than men in those countries and that men in the North pollute more than women. The debates are structured in specific ways in the North and the South and the discussion in the article focuses largely on examples from Sweden and India. The (...) article traces the lineage of the arguments to the women, environment and development discussions, examining how they recur in new forms in climate debates. Questioning assumptions about women's vulnerability and virtuousness, it highlights how a focus on women's vulnerability or virtuousness can deflect attention from inequalities in decision-making. By reiterating statements about poor women in the South and the pro-environmental women of the North, these assumptions reinforce North–South biases. Generalizations about women's vulnerability and virtuousness can lead to an increase in women's responsibility without corresponding rewards. There is need to contextualise debates on climate change to enable action and to respond effectively to its adverse effects in particular places. -/- . (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)

Feminist decolonial scholars have called for disengaging from the current system built on a hierarchical logic of race and gender central to modern, colonial thinking. They have looked to worlds outside the modern system to lead us out of current unjust practices harming both humans and the environment. Although policymaking may be seen as the stronghold of the current political agenda and of the structures that have led to the climate crisis, we argue that climate policies too, are also crucial (...) for rethinking and transforming societies. Our examination of climate adaptation policies in Sweden and the literature from Europe shows how policy documents ignore and unknow the oppressive intersections of gender and power despite the knowledge that exists on these issues in the public domain. Drawing on the tools of agnotology, we examine how this is achieved by strategies of ‘denial, dismissal, diversion and displacement.’ Building on feminist post and decolonial scholarship, we make explicit the gendered and racial hierarchies and dichotomies underpinning these policy documents. At the same time, we bring attention to the nuances in the policy documents we study and look for the openings that might be used to bring about transformation by making these hierarchies explicit and calling them into question. We argue that a transformation is possible through a feminist post and decolonial intervention, even in policymaking otherwise ignorant of culture, values and the colonial histories that have produced contemporary society. (shrink)

Climate change mitigation has become a paradigm case both for externalities in general and for the game-theoretic model of the Tragedy of the Commons (ToC) in particular. This situation is worrying, as we have reasons to suspect that some models in the social sciences are apt to be performative to the extent that they can become self-fulfilling prophecies. Framing climate change mitigation as a hardly solvable coordination problem may force us into a worse situation, by changing real-world behaviour to fit (...) our model, rather than the other way around. But while this problem of the performativity of the ToC has been noted in a recent paper in this journal by Matthew Kopec, his proposed strategies for dealing with their self-fulfilling nature fall short of providing an adequate solution. Instead of relying on the idea that modelling assumptions are always strictly speaking false, this paper shows that the problem may be better framed as a problem of underdetermination between competing explanations. Our goal here is to provide a framework for choosing between this set of competing models that allows us to avoid a ‘Russian Roulette’-like situation in which we gamble with existential risk. (shrink)

What does it mean to study places in ‘crisis’ and how does that affect the research done on the ‘rural’? To be considered to be in crisis is not really new as any literature review of rural studies indicates. And yet, we live now in a new context, with new challenges for ‘rural’ research, in particular that of sustainability. Sustainability is the new policy focus and is increasingly reflected in research on rural Europe. Although scholars are beginning to theorize on (...) what is sustainable in and for rural areas, our intention is to take this further. We theorize on what the focus on crisis and, increasingly on sustainability, means for the research we do and the knowledge we produce on rural Europe. Our aim is to bring attention to the politics of past and present knowledge production on the rural to be able to imagine just and sustainable futures. In an analysis of literature primarily from Sweden and the UK, we argue that two construals, that of a rural crisis and that of rural–urban polarization, have set the tone for rural studies and may have overshadowed a more plural approach. We outline what might be needed from rural research to meet future challenges and what the notion of sustainability, with its emphasis on the entanglements of the social, economic and environmental, might mean for the future of rural research. (shrink)

This special issue contributes to a grounded understanding about 'sustainability' in a range of rural contexts and in so doing sheds light on accompanying tensions and implications for the future of rural areas in Europe. It also brings attention to how the rural might be changing as a result of this new focus on sustainability. The 17 contributions bring to light crucial dimensions of sustainability: (1) the imperative of wellbeing, belonging and care; (2) dimensions of power and identity; (3) the (...) apprehension of time and space - in other words, sustainability as a process and always in transition; (4) social and spatial justice; and (5) the question of knowledge production on the rural and on sustainability. (shrink)

An exciting theory in neuroscience is that the brain is an organ for prediction error minimization. This theory is rapidly gaining influence and is set to dominate the science of mind and brain in the years to come. PEM has extreme explanatory ambition, and profound philosophical implications. Here, I assume the theory, briefly explain it, and then I argue that PEM implies that the brain is essentially self-evidencing. This means it is imperative to identify an evidentiary boundary between the brain (...) and its environment. This boundary defines the mind-world relation, opens the door to skepticism, and makes the mind transpire as more inferentially secluded and neurocentrically skull-bound than many would nowadays think. Therefore, PEM somewhat deflates contemporary hypotheses that cognition is extended, embodied and enactive; however, it can nevertheless accommodate the kinds of cases that fuel these hypotheses. (shrink)

he importance of gender equality and of women’s work in relation to the environment is regarded as a crucial question for development in “third‐world” rural societies. “Development” and a certain standard of welfare make these issues appear to be less urgent in a wealthier country such as Sweden. In this article, I trace some of the contradictions and connections in the ways in which gender equality is conceptualized in women’s struggles vis‐à‐vis environmental issues in rural areas in Sweden and India. (...) The article throws light on two important insights: First, in Sweden, where gender equality has been actively pursued as the bedrock of modern societal organizing, the space to organize as women in relation to environmental issues was fraught with ambiguity. Second, development discourses about equality and empowerment of oppressed third‐world women not only bear on how gender equality is conceptualized and practiced in the global South but also shape the space for gender equality in the North. Analyzing the two cases in relation to each other reveals the travel of ideas and conversations across distant geographical spaces. While ideas about the independent, empowered woman are used to deny agency to women’s collectives in India, gendered discrimination has taken different forms in Sweden, making it more difficult to contest. Understanding how this takes place opens an opportunity for interruption in an order and a space that appears to have become narrower under the umbrella of development, welfare, and growth. It brings into question the category of development in a southern but particularly so in a northern context, where the North, and especially Sweden, is taken as a referent for questions of development and gender equality. -/- . (shrink)

The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI systems can (and should) be regulated. In this article, we describe and discuss the two primary enforcement mechanisms proposed in the AIA: the _conformity assessments_ that providers of high-risk AI systems are expected to conduct, and (...) the _post-market monitoring plans_ that providers must establish to document the performance of high-risk AI systems throughout their lifetimes. We argue that the AIA can be interpreted as a proposal to establish a Europe-wide ecosystem for conducting AI auditing, albeit in other words. Our analysis offers two main contributions. First, by describing the enforcement mechanisms included in the AIA in terminology borrowed from existing literature on AI auditing, we help providers of AI systems understand how they can prove adherence to the requirements set out in the AIA in practice. Second, by examining the AIA from an auditing perspective, we seek to provide transferable lessons from previous research about how to refine further the regulatory approach outlined in the AIA. We conclude by highlighting seven aspects of the AIA where amendments (or simply clarifications) would be helpful. These include, above all, the need to translate vague concepts into verifiable criteria and to strengthen the institutional safeguards concerning conformity assessments based on internal checks. (shrink)

This paper argues how boards of directors of three Icelandic oil companies were kept in the dark while the companies were collaborating in illegal competitive behaviour. The paper offers a unique view into a situation where information or lack thereof has played a key part in corporate governance, exploring the relationship between management and the board of directors and how information filtering can go wrong to the extent that vital information does not reach the board. The paper is based on (...) a case study of the illegal collaboration of the oil companies. It furthermore surveys the literature on information flow and information asymmetry for explanations of what happened in the case of the Icelandic oil companies. (shrink)

It is common in moral philosophy to test the validity of moral principles by proposing counter-examples in the form of cases where the application of the principle does not give the conclusion we intuitively find valid. These cases are often imaginary and sometimes rather ‘outlandish’, involving ray guns, non-existent creatures, etc. I discuss whether we can test moral principles with the help of outlandish cases, or if only realistic cases are admissible. I consider two types of argument against outlandish cases: (...) 1) Since moral principles are meant for guiding action in this world, cases drawn from other worlds are irrelevant. 2) We lack the capacity to apply our intuitive moral competence to outlandish cases. I argue that while the first approach is importantly flawed, the second approach is plausible, not because our moral competence per se is limited to cases from this world, but because we lack the capacity to imagine outlandish cases, and we cannot apply our moral competence to a case we fail to imagine properly. (shrink)

We reply to Christoph Jäger's criticism of the conditional probability solution (CPS) to the value problem for reliabilism due to Goldman and Olsson (2009). We argue that while Jäger raises some legitimate concerns about the compatibility of CPS with externalist epistemology, his objections do not in the end reduce the plausibility of that solution.

Virtue ethics is traditionally a conservative project. It analyses the virtues that humanity has been relying on since antiquity. This conservatism unduly limits the potential of virtue ethics to contribute to moral progress. Instead, we should pay more attention to constructionist virtue ethics with the help of conceptual engineering. I will argue that revising and ameliorating the virtue concepts which a community uses directly and indirectly leads to a change of the virtues that exist in this community. By revising and (...) innovating virtue concepts, we can re-make and improve the virtues that we have. (shrink)

Until recently, discussion of virtues in the philosophy of mathematics has been fleeting and fragmentary at best. But in the last few years this has begun to change. As virtue theory has grown ever more influential, not just in ethics where virtues may seem most at home, but particularly in epistemology and the philosophy of science, some philosophers have sought to push virtues out into unexpected areas, including mathematics and its philosophy. But there are some mathematicians already there, ready to (...) meet them, who have explicitly invoked virtues in discussing what is necessary for a mathematician to succeed. In both ethics and epistemology, virtue theory tends to emphasize character virtues, the acquired excellences of people. But people are not the only sort of thing whose excellences may be identified as virtues. Theoretical virtues have attracted attention in the philosophy of science as components of an account of theory choice. Within the philosophy of mathematics, and mathematics itself, attention to virtues has emerged from a variety of disparate sources. Theoretical virtues have been put forward both to analyse the practice of proof and to justify axioms; intellectual virtues have found multiple applications in the epistemology of mathematics; and ethical virtues have been offered as a basis for understanding the social utility of mathematical practice. Indeed, some authors have advocated virtue epistemology as the correct epistemology for mathematics (and perhaps even as the basis for progress in the metaphysics of mathematics). This topical collection brings together several of the researchers who have begun to study mathematical practices from a virtue perspective with the intention of consolidating and encouraging this trend. (shrink)

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 1-2, Page 87-111, June 2022.

In this paper, we sketch a programme for AI-driven social theory. We begin by defining what we mean by artificial intelligence (AI) in this context. We then lay out our specification for how AI-based models can draw on the growing availability of digital data to help test the validity of different social theories based on their predictive power. In doing so, we use the work of Randall Collins and his state breakdown model to exemplify that, already today, AI-based models can (...) help synthesise knowledge from a variety of sources, reason about the world, and apply what is known across a wide range of problems in a systematic way. However, we also find that AI-driven social theory remains subject to a range of practical, technical, and epistemological limitations. Most critically, existing AI-systems lack three essential capabilities needed to advance social theory in ways that are cumulative, holistic, open-ended, and purposeful. These are (1) semanticisation, i.e., the ability to develop and operationalize verbal concepts to represent machine-manipulable knowledge; (2) transferability, i.e., the ability to transfer what has been learned in one context to another; and (3) generativity, i.e., the ability to independently create and improve on concepts and models. We argue that if the gaps identified here are addressed by further research, there is no reason why, in the future, the most advanced programme in social theory should not be led by AI-driven cumulative advances. (shrink)

In this paper, we argue that there is at least a pro tanto reason to favor the control account of the right to privacy over the access account of the right to privacy. This conclusion is of interest due to its relevance for contemporary discussions related to surveillance policies. We discuss several ways in which the two accounts of the right to privacy can be improved significantly by making minor adjustments to their respective definitions. We then test the improved versions (...) of the two accounts on a test case, to see which account best explains the violation that occurs in the case. The test turns out in favor of the control account. (shrink)

Predictive processing (PP) is now a prominent theoretical framework in the philosophy of mind and cognitive science. This review focuses on PP research with a relatively philosophical focus, taking stock of the framework and discussing new directions. The review contains an introduction that describes the full PP toolbox; an exploration of areas where PP has advanced understanding of perceptual and cognitive phenomena; a discussion of PP's impact on foundational issues in cognitive science; and a consideration of the philosophy of science (...) of PP. The overall picture is that PP is a fruitful framework, with exciting new directions awaiting exploration. (shrink)

On the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA).

The article discusses the use of algorithmic models in finance. Algo trading is widespread but also somewhat controversial in modern financial markets. It is a form of automated trading technology, which critics claim can, among other things, lead to market manipulation. Drawing on three cases, this article shows that manipulation also can happen in the reverse way, meaning that human traders attempt to make algorithms ‘make mistakes’ by ‘misleading’ them. These attempts to manipulate are very simple and immediately transparent to (...) humans. Nevertheless, financial regulators increasingly penalize such attempts to manipulate algos. The article explains this as an institutionalization of algo trading, a trading practice which is vulnerable enough to need regulatory protection. (shrink)

Recent advancements in artificial intelligence have fueled widespread academic discourse on the ethics of AI within and across a diverse set of disciplines. One notable subfield of AI ethics is machine ethics, which seeks to implement ethical considerations into AI systems. However, since different research efforts within machine ethics have discipline-specific concepts, practices, and goals, the resulting body of work is pestered with conflict and confusion as opposed to fruitful synergies. The aim of this paper is to explore ways to (...) alleviate these issues, both on a practical and theoretical level of analysis. First, we describe two approaches to machine ethics: the philosophical approach and the engineering approach and show how tensions between the two arise due to discipline specific practices and aims. Using the concept of disciplinary capture, we then discuss potential promises and pitfalls to cross-disciplinary collaboration. Drawing on recent work in philosophy of science, we finally describe how metacognitive scaffolds can be used to avoid epistemological obstacles and foster innovative collaboration in AI ethics in general and machine ethics in particular. (shrink)

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we (...) critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

I argue that virtue reliabilism and virtue responsibilism are complementary. They do not give competing accounts of epistemic virtue. Rather they explain the excellent functioning of different parts of our cognitive apparatus. Reliabilist virtue designates the excellent functioning of fast and context-specific Type 1 cognitive processes, while responsibilist virtue means an excellent functioning of effortful and reflective Type 2 cognitive processes. This account unifies reliabilist and responsibilist virtue theory. But the virtues are not unified by designating some epistemic norm that (...) both aim at. Instead, I unify them through their cognitive foundations. Because Type 1 and Type 2 cognition are complementary, reliabilist and responsibilist virtues are complementary. Thereby, this dual-process theory of epistemic virtue gives a naturalised account of virtues as well as an explanation of how reliabilism and responsibilism relate. This approach offers a solution for both the generality problem and the situationist challenge to virtue epistemology; additionally it preserves the epistemological autonomy of each virtue type. (shrink)

Drawing on recent findings, this study examines whether valence concordant electromyography (EMG) responses can be explained as an unconditional effect of mere stimulus processing or as somatosensory simulation driven by task-dependent processing strategies. While facial EMG over the Corrugator supercilii and the Zygomaticus major was measured, each participant performed two tasks with pictures of album covers. One task was an affective evaluation task and the other was to attribute the album covers to one of five decades. The Embodied Emotion Account (...) predicts that valence concordant EMG is more likely to occur if the task necessitates a somatosensory simulation of the evaluative meaning of stimuli. Results support this prediction with regard to Corrugator supercilii in that valence concordant EMG activity was only present in the affective evaluation task but not in the non-evaluative task. Results for the Zygomaticus major were ambiguous. Our findings are in line with the view that EMG activity is an embodied part of the evaluation process and not a mere physical outcome. (shrink)

Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS. In previous work, we proposed that ethics-based auditing (EBA)—that is, a structured process by which ADMS are assessed for consistency with relevant principles or norms—can (a) help organisations (...) verify claims about their ADMS and (b) provide decision-subjects with justifications for the outputs produced by ADMS. In this article, we outline the conditions under which EBA procedures can be feasible and effective in practice. First, we argue that EBA is best understood as a ‘soft’ yet ‘formal’ governance mechanism. This implies that the main responsibility of auditors should be to spark ethical deliberation at key intervention points throughout the software development process and ensure that there is sufficient documentation to respond to potential inquiries. Second, we frame AMDS as parts of larger sociotechnical systems to demonstrate that to be feasible and effective, EBA procedures must link to intervention points that span all levels of organisational governance and all phases of the software lifecycle. The main function of EBA should, therefore, be to inform, formalise, assess, and interlink existing governance structures. Finally, we discuss the policy implications of our findings. To support the emergence of feasible and effective EBA procedures, policymakers and regulators could provide standardised reporting formats, facilitate knowledge exchange, provide guidance on how to resolve normative tensions, and create an independent body to oversee EBA of ADMS. (shrink)

This book turns critical feminist scrutiny on national climate policies in India and examines what transition might really mean for marginalized groups in the country. -/- A vision of “just transitions” is increasingly being used by activists and groups to ensure that pathways towards sustainable futures are equitable and inclusive. Exploring this concept, this volume provides a feminist study of what it would take to ensure just transitions in India where gender, in relation to its interesting dimensions of power, is (...) at the centre of analysis. With case studies on climate mitigation and adaptation from different parts of India, the book brings together academics, practitioners and policymakers who provide commentary on sectors including agriculture, forestry and renewables. Overall, the book has relevance far beyond India’s borders, as India’s attempt to deal with its diverse population makes it a key litmus test for countries seeking to transition against a backdrop of inequality both in the Global North and South. -/- This volume will be of great interest to students and scholars of climate policy, gender studies, sustainable development and development studies more broadly. (shrink)

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, we (...) critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

Recently, Julian Savulescu and Guy Kahane have defended the Principle of Procreative Beneficence (PB), according to which prospective parents ought to select children with the view that their future child has ‘the best chance of the best life’. I argue that the arguments Savulescu and Kahane adduce in favour of PB equally well support what I call the Principle of General Procreative Beneficence (GPB). GPB states that couples ought to select children in view of maximizing the overall expected value in (...) the world, not just the welfare of their future child. I further argue that Savulescu and Kahane's claim that PB has significantly more weight than competing moral principles, such as GPB, lacks justification. A possible argument for PB having significant weight builds on a principle of parental partiality towards one's own children. But this principle does not support PB; it supports a Principle of Sibling-Oriented Procreative Beneficence (SPB), according to which parents selecting a child should maximize the benefit of all their children. Indeed, PB itself will in some cases be self-effacing in favour of SPB. (shrink)

In this paper, I defend what I call the ‘Inference Principle’. This principle holds that if an agent obtains some information legitimately, then the agent can make any inference she wants based on the information, without violating anyone’s right to privacy. This principle is interesting for at least three reasons. First, it constitutes a novel answer to the timely question of whether the widespread use of ‘data analytics’ to infer personal information about individuals is morally permissible. Second, it contradicts what (...) seems to be a common view of inferences’ ability to violate privacy rights. Third, it offers an account of the theoretically underdeveloped issue of what duties are engendered by the moral right to privacy with regard to inferred information. (shrink)

The free energy principle says that any self-organising system that is at nonequilibrium steady-state with its environment must minimize its free energy. It is proposed as a grand unifying principle for cognitive science and biology. The principle can appear cryptic, esoteric, too ambitious, and unfalsifiable—suggesting it would be best to suspend any belief in the principle, and instead focus on individual, more concrete and falsifiable ‘process theories’ for particular biological processes and phenomena like perception, decision and action. Here, I explain (...) the free energy principle, and I argue that it is best understood as offering a conceptual and mathematical analysis of the concept of existence of self-organising systems. This analysis offers a new type of solution to long-standing problems in neurobiology, cognitive science, machine learning and philosophy concerning the possibility of normatively constrained, self-supervised learning and inference. The principle can therefore uniquely serve as a regulatory principle for process theories, to ensure that process theories conforming to it enable self-supervision. This is, at least for those who believe self-supervision is a foundational explanatory task, good reason to believe the free energy principle. (shrink)

Departing from popular imaginations around artificial intelligence (AI), this article engages in the I in the AI acronym but from perspectives outside of mathematics, computer science and machine learning. When intelligence is attended to here, it most often refers to narrow calculating tasks. This connotation to calculation provides AI an image of scientificity and objectivity, particularly attractive in societies with a pervasive desire for numbers. However, as is increasingly apparent today, when employed in more general areas of our messy socio-cultural (...) realities, AI- powered automated systems often fail or have unintended consequences. This article will contribute to this critique of AI by attending to Nicholas of Cusa and his treatment of intelligence. According to him, intelligence is equally dependent on an ability to handle the unknown as it unfolds in the present moment. This suggests that intelligence is organic which ties Cusa to more contemporary discussions in tech philosophy, neurology, evolutionary biology, and cognitive sciences in which it is argued that intelligence is dependent on having—and acting through—an organic body. Understanding intelligence as organic thus suggests an oxymoronic relationship to artificial. (shrink)

This paper argues that some of the major theories in current business ethics fail to provide an adequate account of moral responsibility for the creation of systemic financial risk. Using the trading of credit default swaps (CDS) during the 2008 financial crisis as a case study, I will formulate three challenges that these theories must address: the problem of risk imposition, the problem of unstructured collective harm and the problem of limited knowledge. These challenges will be used to work out (...) key shortcomings of stakeholder approaches and Integrative Social Contracts Theory. I will argue that pluralist connection models used in political theory can help to overcome these shortcomings. Adopting an approach based on these models shows that financial institutions incur obligations in five main areas: managing their own risk profile; remedying some of the harms caused by financial crises; supporting the development of better epistemic methods; curbing the transmission and amplification of initial losses; and instigating structural reforms. (shrink)

Artificial Intelligence (AI) often outperforms human doctors in terms of decisional speed. For some diseases, the expected benefit of a fast but less accurate decision exceeds the benefit of a slow but more accurate one. In such cases, we argue, it is often justified to rely on a medical AI to maximise decision speed – even if the AI is less accurate than human doctors.

The notion that the brain is a prediction error minimizer entails, via the notion of Markov blankets and self-evidencing, a form of global scepticism — an inability to rule out evil demon scenarios. This type of scepticism is viewed by some as a sign of a fatally flawed conception of mind and cognition. Here I discuss whether this scepticism is ameliorated by acknowledging the role of action in the most ambitious approach to prediction error minimization, namely under the free energy (...) principle. I argue that the scepticism remains but that the role of action in the free energy principle constrains the demon’s work. This yields new insights about the free energy principle, epistemology, and the place of mind in nature. (shrink)