Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and is more (...) informative than alternatives. More speculatively, it may help to illuminate two important emerging questions in AI ethics: 1. Can agency contribute to the moral status of non-human beings, and how? 2. When and why might AI systems exhibit power-seeking behaviour and does this pose an existential risk to humanity? (shrink)

H.-J. Glock has made important contributions to discussions of rationality, reasons, and rules. This chapter addresses four conceptions of rationality that Glock identifies. One of these conceptions of rationality is that rationality consists in responsiveness to reasons. This chapter goes on to consider the idea that reasons became prominent in normative ethics because of their usefulness in articulating moral pluralism. The final section of the chapter connects reasons and rules and contends that both are ineliminable.

While growing empirical evidence suggests a continuity between human and non-human psychology, many philosophers still think that only humans can act and form beliefs rationally. In this paper, we challenge this claim. We first clarify the notion of rationality. We then focus on the rationality of beliefs and argue that, in the relevant sense, humans are not the only rational animals. We do so by first distinguishing between unreflective and reflective responsiveness to epistemic reasons in belief formation and revision. We (...) argue that unreflective responsiveness is clearly within the reach of many animals. We then defend that a key demonstration of reflective responsiveness would be the ability to respond to undermining defeaters. We end by presenting some empirical evidence that suggests that some animal species are capable of processing these defeaters, which would entail that even by the strictest standards, humans are not the only rational animals. (shrink)

One emerging issue in contemporary epistemology concerns the relation between animal knowledge, which can be had by agents unable to take a view on the epistemic status of their attitudes, and reflective knowledge, which is only available to agents capable of taking such a view. Philosophers who are open to animal knowledge often presume that while many of the beliefs of human adults are formed unreflectively and thus constitute mere animal knowledge, some of them—those which become subject of explicit scrutiny (...) or are the result of a deliberative effort—may attain the status of reflective knowledge. According to Sanford Goldberg and Jonathan Matheson (2020), however, it is impossible for reflective subjects to have mere animal knowledge. If correct, their view would have a number of repercussions, perhaps most notably the vindication of a dualism about knowledge, which would frustrate attempts to provide a unified account of knowledge-attributions to human adults, very young children, and non-human animals. I discuss Goldberg and Matheson’s proposal, outline some of the ways in which it is insightful, and argue that it is ultimately unsuccessful because it neglects the inherent temporal dimension of knowledge acquisition. While the article is pitched as a reply to Goldberg and Matheson, its primary aim is to highlight significant connections between the debates on the relation between animal and reflective knowledge, propositional and doxastic justification, and the theory of epistemic defeat. (shrink)

According to ecological psychology, agency is a crucial feature of living organisms: therefore many ecological psychologists maintain that explaining agency is one of the core aims of the discipline. This paper aims to contribute to this goal by arguing that an ecological understanding of agency requires an account of intention. So far, intentions have not played a dominant role in ecological accounts of agency. The reluctance to integrate a notion of intention seems to be motivated by the widespread assumption that (...) intentions should be understood as internal states with representational content. This assumption goes against two main tenets of ecological psychology: its anti-representationalist stance and its claim that perception is direct (in the sense of not being mediated by inferential processes). Ecological psychology thus needs a different answer to the question what intentions are. In this paper, we aim to show that Elizabeth Anscombe’s theory of intention can be fruitfully brought to bear on an ecological theory of agency. We will argue that Anscombe’s account can meet the two challenges of bringing intentions into the framework of ecological psychology: firstly it can explain what intentions are, if not representational states; and, secondly, it can show how our perception of affordances is guided by intention without undermining the idea of direct perception. (shrink)

In his latest paper on animal agency, Glock (2019) presents a series of arguments to the extent that non-linguistic animals are capable of acting rationally and for reasons. This notwithstanding, he still denies them the ability to conceptualise reasons as reasons. I will argue that, in using Glock’s account, one can in fact claim that non- linguistic animals are capable of conceptualising reasons as reasons. For this, I will apply Glock’s own criteria for concept-possession to the concepts of a reason (...) and of intention. My argument will thus be twofold. First, I will directly argue for the idea that animals can conceptualise reasons as reasons. Second, I will refer to empirical research suggesting that animals attribute intentions to others. If the ability to conceptualise intentions really is necessary for conceptualising reasons, then this research should provide further plausibility to the claim that animals can conceptualise reasons as reasons. I thus submit that my arguments will further improve upon Glock’s account by (1) showing that animals can conceptualise reasons as reason, (2) lending further support to the idea that non-human animals can act rationally, and (3) providing some initial foundation for the claim that they can reason. (shrink)

Readers of Stoic ethics may find ‘benefit’ (ōpheleia) an essential but enigmatic concept. It directly connects to some critical terms of Stoic ethics, such as ‘good’ and ‘virtue,’ but there is no extant discussion of a definition. Beyond the superficial connections, what makes ‘benefit’ beneficial? Why is benefit a good thing? I argue that these essential questions remain unanswerable for a good reason: Stobaeus committed to a specious claim about benefit in his Anthology, which has misguided later commentaries. Either the (...) Stoics themselves made a stronger contrast between sages and inferior people at the cost of coherence, or Stobaeus simply mischaracterized the Stoics’ ideas in his descriptions. This paper aims to clarify Stobaeus’s inaccurate description and reconstruct a coherent and comprehensible interpretation of benefit in the Stoic spirit, with the help of Stoic cosmology. To benefit is to further nature’s agreement. Given the available evidence, I argue that Stoics seem to, or should, be committed to my interpretation. This paper is structured as follows. Section 1 offers a quick background of Stoic ethics. Section 2 discusses two important characteristics of benefit. Section 3 discusses Stobaeus’s description of benefit and inferior people. Section 4 attempts an interpretation of benefit. Finally, Section 5 discusses Inwood and Gerson’s interpretation and argues that it is inadequate. (shrink)

This paper maintains that objectivism about practical reasons should be combined with pluralism both about the nature of practical reasons and about action explanations. We argue for an ‘expanding circle of practical reasons’, starting out from an open-minded monist objectivism. On this view, practical reasons are not limited to actual facts, but consist in states of affairs, possible facts that may or may not obtain. Going beyond such ‘that-ish’ reasons, we argue that goals are also bona fide practical reasons. This (...) makes for a genuine pluralism about practical reasons. Furthermore, the facts or states of affairs that function as practical reasons are not exclusively natural or descriptive, but include normative facts. That normative facts can be reasons justifies a pluralism about reason explanations, one which allows for what we call enkratic explanations in addition to teleological ones. (shrink)

This article sets in with the question whether current or foreseeable transformer-based large language models (LLMs), such as the ones powering OpenAI’s ChatGPT, could be language users in a way comparable to humans. It answers the question negatively, presenting the following argument. Apart from niche uses, to use language means to act. But LLMs are unable to act because they lack intentions. This, in turn, is because they are the wrong kind of being: agents with intentions need to be autonomous (...) organisms while LLMs are heteronomous mechanisms. To conclude, the article argues, based on structural aspects of transformer-based LLMs, that these LLMs have taken a first step away from mechanistic artificiality to autonomous self-constitution, which means that these models are (slowly) moving into a direction that someday might result in non-human, but equally non-artificial agents, thus subverting the time-honored Kantian distinction between organism and mechanism. (shrink)

In this article, I develop a loosely Wittgensteinian conception of what it takes for a being, including an AI system, to understand language, and I suggest that current state of the art systems are closer to fulfilling these requirements than one might think. Developing and defending this claim has both empirical and conceptual aspects. The conceptual aspects concern the criteria that are reasonably applied when judging whether some being understands language; the empirical aspects concern the question whether a given being (...) fulfills these criteria. On the conceptual side, the article builds on Glock’s concept of intelligence, Taylor’s conception of intrinsic rightness as well as Wittgenstein’s rule-following considerations. On the empirical side, it is argued that current transformer-based NNLP models, such as BERT and GPT-3 come close to fulfilling these criteria. (shrink)

In this paper, I will argue that chimpanzees deploy some normative sensitivity when they select (i) materials they will use to manufacture tools and (ii) objects to be used as tools. To defend this claim, I will examine some empirical evidence showing chimpanzees’ remarkable abilities to select adequate tools and materials for the task at hand, as well as reports on how they acquired these abilities, both in their infancy and as naive adults. Based on this evidence, I will argue (...) that these selection processes are guided by evaluations that chimpanzees make about which materials or objects have the required properties to make them efficient tools for a specific task. This turns them into reason-based actions, at least in a modest sense. Furthermore, I will suggest that, after putting together these evaluations and their goals, chimpanzees arrive at “instrumental ought-thoughts” describing an ideal non-actual situation (the possession of a specific tool or material) and prescribing an action (that one chooses that tool or material). These ought-thoughts motivate chimpanzees’ selection behavior. Finally, I will give reasons to prefer the attribution of ought-thoughts to explain chimpanzees’ selection of tools and tool-making material over explanations that only invoke non-normative motivational states. (shrink)