Hydroxycamptothecin is a potent antineoplastic agent that has shown efficacy against multiple tumor lines in vitro. eww140918dxn This is the first study to investigate the release, distribution, and efficacy of hydroxycamptothecin which was incorporated into the biodegradable polymer Polylactic Acid (PLA), and implant into brain directly. In vitro release curve generated showed that a large initial release occurred over the first three days and was followed by a steady, but considerably slower rate of release over the next 25 days. (...) After implanting the discs into 40 male SD rats, the animals were followed up to 28 days, where the concentration in brain tissue was far higher than that in peripheral blood at the each of the eight time-points evaluated, and it was also within the therapeutic range for C6 cells tested in vitro. The in vivoefficacy of the discs was evaluated with rats inoculated intracranially with C6 glioma and treated with hydroxycamptothecin polymer compared to intravenous as well as intratumoral injections; the median survival is 21.1, 13.9, 14.9 days, respectively. Given these data, we conclude that the biodegradable polymer PLA releases hydroxycamptothecin, producing tumoricidal levels in brain tissues and prolonging survival in a rat glioma model. (shrink)

In recent years, personalized medicine (PM) has become a highly regarded line of development in medicine. Yet, it is still a relatively new field. As a consequence, the discussion of its future developments, in particular of its ethical implications, in most cases can only be anticipative. Such anticipative discussions, however, pose several challenges. Nevertheless, they play a crucial role for shaping PM’s further developments. Therefore, it is vital to understand how the ethical discourse on PM is conducted, i.e. on what (...) – empirical and normative – assumptions ethical arguments are based regarding PM’s current and future developments. (shrink)

This chapter proposed a novel design methodology called Value-Sensitive Design and its potential application to the field of artificial intelligence research and design. It discusses the imperatives in adopting a design philosophy that embeds values into the design of artificial agents at the early stages of AI development. Because of the high risk stakes in the unmitigated design of artificial agents, this chapter proposes that even though VSD may turn out to be a less-than-optimal design methodology, it currently (...) provides a framework that has the potential to embed stakeholder values and incorporate current design methods. The reader should begin to take away the importance of a proactive design approach to intelligent agents. (shrink)

Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger role in our lives demands that robots be endowed with moral reasoning capabilities. Robots endowed in this way may be referred to as artificial moral agents. Reasons often given for developing AMAs are: the prevention of harm, the necessity for public trust, the prevention of immoral use, such machines are better moral reasoners than humans, (...) and building these machines would lead to a better understanding of human morality. Although some scholars have challenged the very initiative to develop AMAs, what is currently missing from the debate is a closer examination of the reasons offered by machine ethicists to justify the development of AMAs. This closer examination is especially needed because of the amount of funding currently being allocated to the development of AMAs coupled with the amount of attention researchers and industry leaders receive in the media for their efforts in this direction. The stakes in this debate are high because moral robots would make demands on society; answers to a host of pending questions about what counts as an AMA and whether they are morally responsible for their behavior or not. This paper shifts the burden of proof back to the machine ethicists demanding that they give good reasons to build AMAs. The paper argues that until this is done, the development of commercially available AMAs should not proceed further. (shrink)

What is the function of cognition? On one influential account, cognition evolved to co-ordinate behaviour with environmental change or complexity. Liberal interpretations of this view ascribe cognition to an extraordinarily broad set of biological systems—even bacteria, which modulate their activity in response to salient external cues, would seem to qualify as cognitive agents. However, equating cognition with adaptive flexibility per se glosses over important distinctions in the way biological organisms deal with environmental complexity. Drawing on contemporary advances in theoretical (...) biology and computational neuroscience, we cash these distinctions out in terms of different kinds of generative models, and the representational and uncertainty-resolving capacities they afford. This analysis leads us to propose a formal criterion for delineating cognition from other, more pervasive forms of adaptive plasticity. On this view, biological cognition is rooted in a particular kind of functional organisation; namely, that which enables the agent to detach from the present and engage in counterfactual inference. (shrink)

Decision theory aims at a general account of rationality covering humans but to begin makes idealizations about decision problems and agents' resources and circumstances. It treats inerrant agents with unlimited cognitive power facing tractable decision problems. This book systematically rolls back idealizations and without loss of precision treats errant agents with limited cognitive abilities facing decision problems without a stable top option. It recommends choices that maximize utility using quantizations of beliefs and desires in cases where probabilities (...) and utilities are indeterminate and using higher-order utility analysis in cases of limited access to probabilities and utilities. For agents burdened with mistakes, it advocates reasonable attempts to correct unacceptable mistakes before deciding. In decision problems without a stable top option, a topic of game theory, it proposes maximizing self-conditional utility among self-supporting options. In games of strategy, the new principles lead to solutions that are Pareto optimal among equilibria composed of jointly self-supporting strategies. Offering an account of bounded rationality, the bookmakes large strides toward realism in decision theory. (shrink)

Genes and the Agents of Life undertakes to rethink the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The 2005 book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological sciences. (...) The book is a companion to the author's Boundaries of the Mind (2004), also available from Cambridge, where the focus is the cognitive sciences. The book will appeal to a broad range of professionals and students in philosophy, biology, and the history of science. You can download the table of contents and the first chapter here. (shrink)

Bayesian epistemology provides a popular and powerful framework for modeling rational norms on credences, including how rational agents should respond to evidence. The framework is built on the assumption that ideally rational agents have credences, or degrees of belief, that are representable by numbers that obey the axioms of probability. From there, further constraints are proposed regarding which credence assignments are rationally permissible, and how rational agents’ credences should change upon learning new evidence. While the details are (...) hotly disputed, all flavors of Bayesianism purport to give us norms of ideal rationality. This raises the question of how exactly these norms apply to you and me, since perfect compliance with those ideal norms is out of reach for human thinkers. A common response is that Bayesian norms are ideals that human reasoners are supposed to approximate – the closer they come to being ideally rational, the better. To make this claim plausible, we need to make it more precise. In what sense is it better to be closer to ideally rational, and what is an appropriate measure of such closeness? This article sketches some possible answers to these questions. (shrink)

University of Cologne, Germany Joint action and group agency have emerged as focuses of attention in recent social theory and philosophy but they have rarely been connected with one another. The argument of this article is that whereas joint action involves people acting together to achieve any sort of result, group agency requires them to act together for the achievement of one result in particular: the construction of a centre of attitude and agency that satisfies the usual constraints of consistency (...) and rationality in adequate measure. The main discovery in the recent theory of group agency is that this result is not easily achieved; no regular voting procedure will ensure, for example, that a group of individually consistent agents will display consistency in group judgments. Key Words: groups • group agents • collective agents • joint action • joint intention. (shrink)

This paper defends a substance-based metaphysics for organisms against three arguments for thinking that we should replace a substantial understanding of living things with a processual one, which are offered by Dan Nicholson and John Dupré in their edited collection,Everything Flows: Towards a Processual Philosophy of Biology(Oxford: Oxford University Press, 2018). Dupré and Nicholson consider three main empirical motivations for the adoption of a process ontology in biology. These motivations are alleged to stem from facts concerning (i) metabolism; (ii) the (...) life cycles of organisms; and (iii) ecological interdependence. The paper discusses each of the three arguments in turn and concludes that none gives us any compelling reason to abandon the metaphysics of things. At best, they are arguments against a kind of caricature substance metaphysics that ought never to have been in the running in any case. Then, at the end of the paper, it is suggested that there may be more positive arguments for insisting on retaining things in our metaphysics, arguments which, perhaps ironically (given the opposed standpoint ofEverything Flows) get their main impetus from the phenomenon of life. (shrink)

In the literature on social ontology, two perspectives on collective agency have been developed. The first is the internal perspective, the second the external one. The internal perspective takes the point of view of the members as its point of departure and appeals, inter alia, to the joint intentions they form. The idea is that collective agents perform joint actions such as dancing the tango, organizing prayer meetings, or performing symphonies. Such actions are generated by joint intentions, a topic (...) which has been investigated extensively in recent decades.1 The external perspective takes the point of view of outsiders as its point of departure. Here the idea is that outsiders ascribe certain properties to collections of individuals that thereby acquire a new status. An example that is discussed in some detail below is provided by universities that, at least initially, had to be recognized by the pope in order to perform the actions that are characteristic of universities, in particular the awarding of academic degrees. This perspective has received considerably less attention.2 In this paper I present and defend a new account of collective agents from the external perspective. I call it ‘the status account’. At the heart of this account lies the idea just mentioned. A collective agent can come into existence by outsiders granting a collection of individuals some kind of status. I call a collective agent for which this holds a ‘corporate agent’, because such an agent is or has been, in a sense to be explained, incorporated. I develop this idea by distinguishing between two kinds of rules: status rules and constitutive rules. Status rules explicate the normative attributes that are characteristic of a particular kind of corporate agent. Constitutive rules specify the conditions that have to be met for a certain collection of individuals to have those attributes. The status account shares some important features with John Searle’s social ontology.3 The advantages that my account has over Searle’s are discussed in section 2.2, immediately after the account has been introduced in section 2.1. Before doing that, however, I shall discuss the internal perspective.. (shrink)

In this paper, we explore how we should aggregate the degrees of belief of a group of agents to give a single coherent set of degrees of belief, when at least some of those agents might be probabilistically incoherent. There are a number of ways of aggregating degrees of belief, and there are a number of ways of fixing incoherent degrees of belief. When we have picked one of each, should we aggregate first and then fix, or fix (...) first and then aggregate? Or should we try to do both at once? And when do these different procedures agree with one another? In this paper, we focus particularly on the final question. (shrink)

Corporate responsibility requires a conception of collective agency on which collective agents are able to form moral judgments and act on them. In spite of claims to the contrary, existing accounts of collective agency fall short of this kind of corporate autonomy, as they fail to explain how collective agents might be responsive to moral reasons. I discuss how a recently proposed conception of shared valuing can be used for developing a solution to this problem. Although the resulting (...) conception of corporate autonomy is useful for making sense of corporate responsibility, it also gives rise to what I call ‘the Corporate Autonomy Problem’. Autonomous collective agents are in principle entitled to the same rights as autonomous individual agents. However, at least some individual rights, such as the right to vote, the right to life, and the right not to be enslaved cannot plausibly be attributed to collective agents. This intuition is supported by normative individualism, the position according to which corporate agents are not entitled to non-derivative rights at all. I argue that without a proper solution to this problem—I sketch the available options—saving corporate responsibility requires giving up on normative individualism. (shrink)

Theorists attending to the epistemic condition on responsibility are divided over whether moral ignorance is ever exculpatory. While those who argue that reasonable expectation is required for blameworthiness often maintain that moral ignorance can excuse, theorists who embrace a quality of will approach to blameworthiness are not sanguine about the prospect of excuses among morally ignorant wrongdoers. Indeed, it is sometimes argued that moral ignorance always reflects insufficient care for what matters morally, and therefore that moral ignorance never excuses. Furthermore, (...) quality of will theorists treat their skepticism about excuses for the morally ignorant as a natural implication of their approach. It is therefore unsurprising that, while many have argued for the blamelessness of certain morally ignorant agents on grounds concerning reasonable expectation, the possibility that morally ignorant agents might be blameless even according to quality of will views has not been adequately addressed. I illustrate and explain how it is possible for morally ignorant agents to display sufficient care for the morally relevant features of their wrong behavior. Thus, even if quality of will views are correct, moral ignorance sometimes excuses. (shrink)

Orthodox decision theory gives no advice to agents who hold two goods to be incommensurate in value because such agents will have incomplete preferences. According to standard treatments, rationality requires complete preferences, so such agents are irrational. Experience shows, however, that incomplete preferences are ubiquitous in ordinary life. In this paper, we aim to do two things: (1) show that there is a good case for revising decision theory so as to allow it to apply non-vacuously to (...) agents with incomplete preferences, and (2) to identify one substantive criterion that any such non-standard decision theory must obey. Our criterion, Competitiveness, is a weaker version of a dominance principle. Despite its modesty, Competitiveness is incompatible with prospectism, a recently developed decision theory for agents with incomplete preferences. We spend the final part of the paper showing why Competitiveness should be retained, and prospectism rejected. (shrink)

1. In the last decade, technological systems based on Artificial Intelligence (AI) architectures entered our lives at an increasingly fast pace. Virtual assistants facilitate our daily tasks, recom...

As robots and Artificial Intelligences become more enmeshed in rich social contexts, it seems inevitable that we will have to make them into moral machines equipped with moral skills. Apart from the technical difficulties of how we could achieve this goal, we can also ask the ethical question of whether we should seek to create such Artificial Moral Agents (AMAs). Recently, several papers have argued that we have strong reasons not to develop AMAs. In response, we develop a comprehensive (...) analysis of the relevant arguments for and against creating AMAs, and we argue that all things considered we have strong reasons to continue to responsibly develop AMAs. The key contributions of this paper are threefold. First, to provide the first comprehensive response to the important arguments made against AMAs by Wynsberghe and Robbins (in “Critiquing the Reasons for Making Artificial Moral Agents”, Science and Engineering Ethics 25, 2019) and to introduce several novel lines of argument in the process. Second, to collate and thematise for the first time the key arguments for and against AMAs in a single paper. Third, to recast the debate away from blanket arguments for or against AMAs in general, to a more nuanced discussion about the use of what sort of AMAs, in what sort of contexts, and for what sort of purposes is morally appropriate. (shrink)

Popular sovereignty requires that citizens perceive themselves as being able to act and implement decisions, and that they are de facto causally connected to mechanisms of decision making. I argue that the two most common understandings of the exercise of popular sovereignty—which center on direct decision making by the people as a whole and the indirect exercise of democratic agency by elected representatives, respectively—are inadequate in this respect, and go on to suggest a complementary account that stresses the central role (...) of internally democratic and participatory political parties in actualising popular sovereignty, drawing on the democratic theory of Hans Kelsen. (shrink)

When we think about ethics, we normally focus on a particular sort of agent: the individual person. Some philosophers have argued that we should rethink the limits of what counts as an ethically relevant unit of agency by expanding outward, and claiming that groups of people can have normative reasons for action. In this paper, I explore whether we can go in the other direction. Are there sub‐personal beings who count as agents with their own reasons for action? In (...) particular, might the temporal parts of persons, beings like “me‐in‐my‐twenties,” be thought of as normative agents? This idea, I argue, has deep attractions, and deep, but surmountable, challenges. And if we do accept this idea, I argue, this can indirectly help to support the case for thinking that groups can have reasons for action. (shrink)

Orthodox Bayesianism is a highly idealized theory of how we ought to live our epistemic lives. One of the most widely discussed idealizations is that of logical omniscience: the assumption that an agent’s degrees of belief must be probabilistically coherent to be rational. It is widely agreed that this assumption is problematic if we want to reason about bounded rationality, logical learning, or other aspects of non-ideal epistemic agency. Yet, we still lack a satisfying way to avoid logical omniscience within (...) a Bayesian framework. Some proposals merely replace logical omniscience with a different logical idealization; others sacrifice all traits of logical competence on the altar of logical non-omniscience. We think a better strategy is available: by enriching the Bayesian framework with tools that allow us to capture what agents can and cannot infer given their limited cognitive resources, we can avoid logical omniscience while retaining the idea that rational degrees of belief are in an important way constrained by the laws of probability. In this paper, we offer a formal implementation of this strategy, show how the resulting framework solves the problem of logical omniscience, and compare it to orthodox Bayesianism as we know it. (shrink)

As artificial intelligence (AI) continues to proliferate into every area of modern life, there is no doubt that society has to think deeply about the potential impact, whether negative or positive, that it will have. Whilst scholars recognise that AI can usher in a new era of personal, social and economic prosperity, they also warn of the potential for it to be misused towards the detriment of society. Deliberate strategies are therefore required to ensure that AI can be safely integrated (...) into society in a manner that would maximise the good for as many people as possible, whilst minimising the bad. One of the most urgent societal expectations of artificial agents is the need for them to behave in a manner that is morally relevant, i.e. to become artificial moral agents (AMAs). In this article, I will argue that exemplarism, an ethical theory based on virtue ethics, can be employed in the building of computationally rational AMAs with weak machine ethics. I further argue that three features of exemplarism, namely grounding in moral exemplars, meeting community expectations and practical simplicity, are crucial to its uniqueness and suitability for application in building AMAs that fit the ethos of AI4SG. (shrink)

Autonomous AI agents present transformative opportunities and significant governance challenges. Existing frameworks, such as the EU AI Act and the NIST AI Risk Management Framework, fall short of addressing the complexities of these agents, which are capable of independent decision-making, learning, and adaptation. To bridge these gaps, we propose the ETHOS (Ethical Technology and Holistic Oversight System) framework—a decentralized governance (DeGov) model leveraging Web3 technologies, including blockchain, smart contracts, and decentralized autonomous organizations (DAOs). ETHOS establishes a global registry (...) for AI agents, enabling dynamic risk classification, proportional oversight, and automated compliance monitoring through tools like soulbound tokens and zero-knowledge proofs. Furthermore, the framework incorporates decentralized justice systems for transparent dispute resolution and introduces AI-specific legal entities to manage limited liability, supported by mandatory insurance to ensure financial accountability and incentivize ethical design. By integrating philosophical principles of rationality, ethical grounding, and goal alignment, ETHOS aims to create a robust research agenda for promoting trust, transparency, and participatory governance. This innovative framework offers a scalable and inclusive strategy for regulating AI agents, balancing innovation with ethical responsibility to meet the demands of an AI-driven future. (shrink)

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

I distinguish between two phases of Rorty’s naturalism: “nonreductive physicalism” (NRP) and “pragmatic naturalism” (PN). NRP holds that the vocabulary of mental states is irreducible to that of physical states, but this irreducibility does not distinguish the mental from other irreducible vocabularies. PN differs by explicitly accepting a naturalistic argument for the transcendental status of the vocabulary of agency. Though I present some reasons for preferring PN over NRP, PN depends on whether ‘normativity’ can be ‘naturalized’.

The Humean theory of motivation remains the default position in much of the contemporary literature in meta-ethics, moral psychology, and action theory. Yet despite its widespread support, the theory is implausible as a view about what motivates agents to act. More specifically, my reasons for dissatisfaction with the Humean theory stem from its incompatibility with what I take to be a compelling model of the role of motivating reasons in first-person practical deliberation and third-person action explanations. So after first (...) introducing some assumptions about the nature of agency in section one, I will turn to articulating and defending this account of motivating reasons in sections two through four of the paper. Section five then provides some background on the Humean theory before I argue directly against it in section six and critically examine the leading arguments for the view in section seven. Given limitations of space, however, I save the task of developing a positive anti-Humean view for another occasion. (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)

Current models of auditory verbal hallucinations tend to focus on the mechanisms underlying their occurrence, but often fail to address the content of the auditory experience. In other words, they tend to ask why there are AVHs at all, instead of asking why, given that there are AVHs, they have the properties that they have. One such property, which has been largely overlooked and which we will focus on here, is why the voices are often experienced as coming from (...) class='Hi'>agents, and often specific, individualised agents. In this article, we argue not only that the representation of agents is important in accurately describing many cases of AVH, but also that deeper reflection on what is involved in the representation of agents has potentially vital consequences for our aetiological understanding of AVH, namely, for understanding how and why AVHs come about. (shrink)

Biological evolution is often viewed narrowly as a change of morphology or allele frequency in a sequence of generations. Here I pursue an alternative informational concept of evolution, as preservation, advance, and emergence of functional information in natural agents. Functional information is a network of signs that are used by agents to preserve and regulate their functions. Functional information is preserved in evolution via complex interplay of copying and construction processes: the digital components are copied, whereas interpreting subagents (...) together with scaffolds, tools, and resources, are constructed. Some of these processes are simple and invariant, whereas others are complex and contextual. Advance of functional information includes improvement and modification of already existing functions. Although the genome information may change passively and randomly, the interpretation is active and guided by the logic of agent behavior and embryonic development. Emergence of new functions is based on the reinterpretation of already existing information, when old tools, resources, and control algorithms are adopted for novel functions. Evolution of functional information progressed from protosemiosis, where signs correspond directly to actions, to eusemiosis, where agents associate signs with objects. Language is the most advanced form of eusemiosis, where the knowledge of objects and models is communicated between agents. (shrink)

Epistemic agents may have different powers of observation and reasoning, and we show how this diversity fits into dynamic update logics.RésuméLes agents épistémiques peuvent avoir différents pouvoirs d’observation et de raisonnement, et nous montrons comment cette diversité prend place en logique dynamique de mise à jour.

I discuss the realizability and the ethical ramifications of Machine Ethics, from a number of different perspectives: I label these the anthropocentric, infocentric, biocentric and ecocentric perspectives. Each of these approaches takes a characteristic view of the position of humanity relative to other aspects of the designed and the natural worlds—or relative to the possibilities of ‘extra-human’ extensions to the ethical community. In the course of the discussion, a number of key issues emerge concerning the relation between technology and ethics, (...) and the nature of what it is to have moral status. Some radical challenges to certain technological presuppositions and ramifications of the infocentric approach will be discussed. Notwithstanding the obvious tensions between the infocentric perspective on one side and the biocentric and ecocentric perspectives on the other, we will see that there are also striking parallels in the way that each of these three approaches generates challenges to an anthropocentric ethical hegemony, and possible scope for some degree of convergence. (shrink)

Current evolutionary and cognitive theories of religion posit that supernatural agent concepts emerge from cognitive systems such as theory of mind and social cognition. Some argue that these concepts evolved to maintain social order by minimizing antisocial behavior. If these theories are correct, then people should process information about supernatural agents’ socially strategic knowledge more quickly than non-strategic knowledge. Furthermore, agents’ knowledge of immoral and uncooperative social behaviors should be especially accessible to people. To examine these hypotheses, we (...) measured response-times to questions about the knowledge attributed to four different agents—God, Santa Claus, a fictional surveillance government, and omniscient but non-interfering aliens—that vary in their omniscience, moral concern, ability to punish, and how supernatural they are. As anticipated, participants respond more quickly to questions about agents’ socially strategic knowledge than non-strategic knowledge, but only when agents are able to punish. (shrink)

In this paper I explore various themes in Alfred Mele's Manipulated Agents: A Window to Moral Responsibility (OUP 2019). I develop four points. First, I argue that Mele's historical requirement for moral responsibility for developed morally responsible agents should be coupled with a nonhistorical theory of initially developing agents (like toddlers). Second, I argue that one might resist Mele's negative historical requirement (wherein agents must lack certain responsibility-defeating histories) with a minimal positive historical requirement according to (...) which an agent has a history wherein she did not undergo any responsibility-defeating events, like being severely manipulated.Third, I also explore the idea that one who defended a nonhistorical view, such as Harry Frankfurt's, might rely on a different conception of what moral responsibility is. This might explain why some resisting Mele would not have the intuition that in certain cases a manipulated agent is not responsible. Finally, I question how we should think of the role of intuition in thought experiments figuring centrally in Mele's work. (shrink)

In this article, a concise argument for computational rationality as a basis for artificial moral agency is advanced. Some ethicists have long argued that rational agents can become artificial moral agents. However, most of their views have come from purely philosophical perspectives, thus making it difficult to transfer their arguments to a scientific and analytical frame of reference. The result has been a disintegrated approach to the conceptualisation and design of artificial moral agents. In this article, I (...) make the argument for computational rationality as an integrative element that effectively combines the philosophical and computational aspects of artificial moral agency. This logically leads to a philosophically coherent and scientifically consistent model for building artificial moral agents. Besides providing a possible answer to the question of how to build artificial moral agents, this model also invites sound debate from multiple disciplines, which should help to advance the field of machine ethics forward. (shrink)

It is common to ascribe agency to some organized collectives, such as corporations, courts, and states, and to treat them as loci of responsibility, over and above their individual members. But since responsibility is often assumed to require free will, should we also think that group agents have free will? Surprisingly, the literature contains very few in-depth discussions of this question. The most extensive defence of corporate free will that I am aware of (Hess [2014], “The Free Will of (...) Corporations (and Other Collectives)”, Philosophical Studies 168 (1): 241–260) rests on a compatibilist understanding which takes reasons-responsiveness and acting from one’s own ‘actional springs’ as key conditions for free will but says little about a condition that free-will libertarians emphasize: the possibility of doing otherwise. In this paper, I will argue that group agents can have free will not only in a (less demanding) compatibilist sense, but also in a recognizably libertarian sense, which includes the possibility of doing otherwise. In developing this account of corporate free will, I will bring together recent work on group agency and recent work on free will. (shrink)

An account of the virtues of limitation management: intellectual virtues of adapting to the fact that we cannot solve many of the problems that we can describe. I argue that the best response to many problems depends not on the most rationally promising solution, but on the most likely route to success. I argue against techniques that assume that one will fulfil ones intentions, and distinguish between failures of rationality and failures of intelligence. I describe the trap of supposing that (...) one will be capable of following the plan that would best exploit ones limited resources. (shrink)

This paper relates to a formal statement of the mechanisms that are thought minimally necessary to underpin consciousness. This is expressed in the form of axioms. We deem this to be useful if there is ever to be clarity in answering questions about whether this or the other organism is or is not conscious. As usual, axioms are ways of making formal statements of intuitive beliefs and looking, again formally, at the consequences of such beliefs. The use of this style (...) of exposition does not entail a claim to provide a mathematically rigorous formal deductive system. Conventional mathematical notation is used to achieve clarity, although this is elaborated with natural language in an attempt to reduce terseness. In our view, making the approach axiomatic is synonymous with building clear usable tests for consciousness and is therefore a central feature of the paper. The extended scope of this approach is to lay down some essential properties that should be considered when designing machines that could be said to be conscious. In the broader discussion about the nature of consciousness and its neurological mechanisms, it may seem to some that axiomatisation is premature and continues to beg many questions. However, the approach is meant to be open- ended so that others can build further axiomatic clarifications that address the very large number of questions which, in the search for a formal basis for consciousness, still remain to be answered. Of course, in discussions about consciousness many will also argue that the subject is not one that may ever be formally addressed by means of axioms. The view taken in this paper is 'let's try to do it and see how far it gets'. (shrink)

This paper considers the applicability of expressive theories of punishment to the punishment of corporate entities. The author argues that although arguments which suggest that the denunciatory account is superior to a communicative account in paradigmatic cases of punishment cannot be transferred straightforwardly to cover this kind of case, there are other reasons, connected with the different attitudes we have to regret and remorse in individual and collective cases, for preferring a communicative to a denunciatory account here.

There is widespread agreement in both business and society that MNCs have an enormous potential for contributing to the betterment of the world, A paper from the Tomorrow's Leaders Group of the World Business Council for Sustainable Development). In fact, a discussion has evolved around the role of "Business as an Agent of World Benefit."¹ At the same time, there is also growing willingness among business leaders to spend time, expertise, and resources to help solve some of the most pressing (...) problems in the world, such as global warming, poverty, HIV/AIDS, and other pandemic diseases. One example of business leaders engagement in citizenship activities is PricewaterhouseCoopers' leadership development program called "Project Ulysses" which we present and discuss in this article. Using a narrative approach we ask: "What can business leaders learn from selected Ulysses narratives for acting as agents of world benefit and with respect to engaging responsibly in the fight against some of the most pressing social problems at the local level?" Our contribution is organized as follows. We begin the article with a brief discussion on the role of business leaden in the fight against world's social problems and address some areas of concern as to whether or not business leaders should play a role in fighting these global issues. We then introduce "Project Ulysses" which takes place in cross-sector partnership in developing countries. Following an overview of the research methodology we present four Ulysses narratives which tell us about learnings in the light of fundamental human problems, such as poverty and misery. Each story is analyzed with regard to the above question. We conclude the article by summarizing key lessons learned and some recommendations for business leaders as agents of world benefit. (shrink)

The central theme and core objective of this comprehensive resource for elementary teachers on climate change and children’s emotions and resiliency is supporting children’s understanding of and respect for the interconnectedness all life: human, animal, plant, and clean air, water, and soil. Its broad social/cultural perspective emphasizes that social and ecological justice are interrelated. Challenging elementary teachers to more explicitly address current environmental issues with students in their classrooms, the book presents a diverse set of topics from a variety of (...) perspectives. Coverage includes descriptions of environmental education pedagogies such as nature-based experiences and place-based studies; peace-education practices; children doing environmental activism; and teachers supporting children emotionally in times of climate disruption and tumult. The pedagogies described invite student engagement and action in the public sphere. Children are represented as ‘agents of change’ engaged in social and environmental issues and problems through their actions both local and global. (shrink)

The pace of technological change continues to outstrip the evolution of democratic institutions, creating an urgent need for innovative approaches to democratic reform. However, the experimentation bottleneck - characterized by slow speed, high costs, limited scalability, and ethical risks - has long hindered progress in democracy research. This paper proposes a novel solution: employing generative artificial intelligence (GenAI) to create synthetic data through the simulation of digital homunculi, GenAI-powered entities designed to mimic human behavior in social contexts. By enabling rapid, (...) low-risk experimentation with alternative institutional designs, this approach could significantly accelerate democratic innovation. I examine the potential of GenAI-assisted research to mitigate current limitations in democratic experimentation, including the ability to simulate large-scale societal interactions and test complex institutional mechanisms. While acknowledging potential risks such as algorithmic bias, reproducibility challenges, and AI alignment issues, I argue that the benefits of synthetic data are likely to outweigh their drawbacks if implemented with proper caution. To address existing challenges, I propose a range of technical, methodological, and institutional adaptations. The paper concludes with a call for interdisciplinary collaboration in the development and implementation of GenAI-assisted methods in democracy research, highlighting their potential to bridge the gap between democratic theory and practice in an era of rapid technological change. (shrink)

International Journal of Philosophical Studies, Volume 20, Issue 2, Page 271-287, May 2012.

The purpose of this paper is to address some of the questions on the notion of agent and agency in relation to property and personhood. I argue that following the Kantian criticism of Aristotelian metaphysics, contemporary biotechnology and information and communication technologies bring about a new challenge—this time, with regard to the Kantian moral subject understood in the subject’s unique metaphysical qualities of dignity and autonomy. The concept of human dignity underlies the foundation of many democratic systems, particularly in Europe (...) as well as of international treaties, including the Universal Declaration of Human Rights. Digital agents, artificial organisms as well as new capabilities of the human agents related to their embeddedness in digital and biotechnological environments bring about an important transformation of the human self-appraisal. A critical comparative reflection of this transformation is important because of its ethical implications. I deal first with the concept of agent within the framework of Aristotelian philosophy, which is the basis for further theories in accordance with and/or in opposition to it, particularly since modernity. In the second part of this paper, I deal with the concept of personhood in Kantian philosophy, which supersedes the Aristotelian metaphysics of substance and builds the basis of a metaphysics of the moral human subject. In the third part, I discuss the question of artificial agents arising from modern biology and ICT. Blurring the difference between the human and the natural and/or artificial opens a “new space” for philosophical reflection as well as for debate in law and practical policy. (shrink)

This paper contends that a Kantian universalizability constraint on theories of practical reason in conjunction with the possibility of collective rational agents entails the surprisingly strong conclusion that no fully agent‐relative theory of practical reason can be sound. The basic point is that a Kantian universalizability constraint, the thesis that all reasons for action are agent‐relative and the possibility of collective rational agents gives rise to a contradiction. This contradiction can be avoided by either rejecting Kantian universalizability, the (...) possibility of collective rational agents, or the tenability of a fully agent‐relative theory of practical reason; we cannot have all three. (shrink)

Are companies, churches, and states genuine agents? Or are they just collections of individuals that give a misleading impression of unity? This question is important, since the answer dictates how we should explain the behaviour of these entities and whether we should treat them as responsible and accountable on the model of individual agents. Group Agency offers a new approach to that question and is relevant, therefore, to a range of fields from philosophy to law, politics, and the (...) social sciences. Christian List and Philip Pettit argue that there really are group or corporate agents, over and above the individual agents who compose them, and that a proper approach to the social sciences, law, morality, and politics must take account of this fact. Unlike some earlier defences of group agency, their account is entirely unmysterious in character and, despite not being technically difficult, is grounded in cutting-edge work in social choice theory, economics, and philosophy. (shrink)

This paper focuses on the research field of machine ethics and how it relates to a technological singularity—a hypothesized, futuristic event where artificial machines will have greater-than-human-level intelligence. One problem related to the singularity centers on the issue of whether human values and norms would survive such an event. To somehow ensure this, a number of artificial intelligence researchers have opted to focus on the development of artificial moral agents, which refers to machines capable of moral reasoning, judgment, and (...) decision-making. To date, different frameworks on how to arrive at these agents have been put forward. However, there seems to be no hard consensus as to which framework would likely yield a positive result. With the body of work that they have contributed in the study of moral agency, philosophers may contribute to the growing literature on artificial moral agency. While doing so, they could also think about how the said concept could affect other important philosophical concepts. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons (...) for robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

The success of medicine in the treatment of patients brings with it new challenges. More people live on to suffer from functional, chronic or multifactorial diseases, and this has led to calls for more complex analyses of the causal determinants of health and illness. Philosophical analysis of background assumptions of the current paradigmatic model. While these factors do not require a radical paradigm shift, they do give us cause to develop a new narrative, to add to existing narratives that frame (...) our thinking about medical care. In this paper we argue that the increased focus on lifestyle and shared decision making requires a new narrative of agency, to supplement the narrative of “the patient”. This narrative is conceptually linked to the developing philosophy of person-centred care. If patients are seen also as “agents” this will result in a substantial shift in practical decisions: The development and adoption of this narrative will help practitioners work with patients to their mutual benefit, harnessing the patients’ motivation, shifting the focus from treatment to prevention and preventing unnecessary and harmful treatments that can come out of our preoccupation with the patient narrative. It will also help to shift research efforts, conceptual and empirical, from “treating” and “battling” diseases and their purported “mechanisms” to understanding complex contributing factors and their interplay. (shrink)