As intelligent machines are more and more present in our environment, the interest of researchers in the problem of AI (artificial intelligence) agency is growing significantly. In light of this, this paper aims to examine the dominant trends in AI agency research regarding their philosophical implications, as well as to provide a research commentary. Recurring themes of point and network notions of agency are identified, based on which the argument for the dual-process nature of agency perception is presented. Emphasis is (...) placed on the agency attribution phenomenon. The novel hypothesis of a negative correlation between the perceived agency of AI and its interpretability outlines the future research direction. (shrink)

Artificial agents have become increasingly prevalent in human social life. In light of the diversity of new human–machine interactions, we face renewed questions about the distribution of moral responsibility. Besides positions denying the mere possibility of attributing moral responsibility to artificial systems, recent approaches discuss the circumstances under which artificial agents may qualify as moral agents. This paper revisits the discussion of how responsibility might be distributed between artificial agents and human interaction partners (including producers of artificial agents) and raises (...) the question of whether attributions of responsibility should remain entirely on the human side. While acknowledging a crucial difference between living human beings and artificial systems culminating in an asymmetric feature of human–machine interactions, this paper investigates the extent to which artificial agents may reasonably be attributed a share of moral responsibility. To elaborate on criteria that can justify a distribution of responsibility in certain human–machine interactions, the role of types of criteria (interaction-related criteria and criteria that can be deferred from socially constructed responsibility relationships) is examined. Thereby, the focus will lay on the evaluation of potential criteria referring to the fact that artificial agents surpass in some aspects the capacities of humans. This is contrasted with socially constructed responsibility relationships that do not take these criteria into account. In summary, situations are examined in which it seems plausible that moral responsibility can be distributed between artificial and human agents. (shrink)

To be said to possess agency, an individual or entity must act with intent. What constitutes an intentional action is, roughly, that the action is something an agent wishes or desires to do. In order to perform intentional actions however, there seems to be much that must underpin this process. For example, having a complex range of desires, beliefs, and deliberations which are involved in bringing those intentional actions about. A satisfactory account of agency should be able to explain how (...) these complex range of desires, beliefs and deliberations occur to bring about intentional actions. The aim of this paper is to answer whether Artificial Intelligence has what it takes to be considered agents. At first glance, it appears that AI can calculate, weigh up different options, choose the best one which will ensure the best possible outcome, right a wrong, troubleshoot, solve a problem etc. And, we might further be moved to say that these machines perform actions, perhaps we could go so far as to say that they seemingly perform intentional actions. But are they agents? As things stand, according to the features of common-ground agency, AI in its more traditional rules-and-representations version, and possibly, AI in its more dynamic version, fail to exhibit the features of common-ground agency and therefore fail at the game of agency. (shrink)

The question whether AI systems have agency is gaining increasing importance in discussions of responsibility for AI behavior. This paper argues that an approach to artificial agency needs to be teleological, and consider the role of human goals in particular if it is to adequately address the issue of responsibility. I will defend the view that while AI systems can be viewed as autonomous in the sense of identifying or pursuing goals, they rely on human goals and other values incorporated (...) into their design, and are, as such, dependent on human agents. As a consequence, AI systems cannot be held morally responsible, and responsibility attributions should take into account normative and social aspects involved in the design and deployment of the said AI. My argument falls in line with approaches critical of attributing moral agency to artificial agents, but draws from the philosophy of action, highlighting further philosophical underpinnings of current debates on artificial agency. (shrink)

What is the relation between a reason and an action when the reason explains the action by giving the agent's reason for doing what he did? We may call such explanations rationalizations, and say that the reason rationalizes the action. In this paper I want to defend the ancient - and common-sense - position that rationalization is a species of ordinary causal explanation. The defense no doubt requires some redeployment, but not more or less complete abandonment of the position, as (...) urged by many recent writers. (shrink)

Despite the recent upsurge of interest in the investigation of creativity, the question of how to measure creativity is arguably underdiscussed. The aim of this paper is to address this gap, proposing a multidimensional account of creativity which identifies problem-solving, evaluation, and naivety as measurable features that are common among creative processes. The benefits that result from the adoption of this model are twofold: integrating discussions on creativity in various domains and offering the tools to assess creativity across systems of (...) different kinds. By situating creativity within this framework, I aim to contribute to a non-anthropocentric, more comprehensive understanding of the notion, and to debates on natural and artificial creativity. (shrink)

Visual artists and scientists frequently employ the labour of assistants and technicians, however these workers generally receive little recognition for their contribution to the production of artistic and scientific work. They are effectively “invisible”. This invisible status however, comes at the cost of a better understanding of artistic and scientific work, and improvements in artistic and scientific practice. To enhance understanding of artistic and scientific work, and these practices more broadly, it is vital to discern the nature of an assistant (...) or technician’s contribution to the production of a work, which is difficult as it is uncommon to discuss these workers. To address this, I investigate how different kinds of parallel working arrangements in collective artistic and scientific practices affect the creative potential of individuals involved. Different working arrangements permit different degrees of autonomy for individuals involved in these practices. Significantly, a lack of autonomy precludes the opportunity to act spontaneously and so exercise, what I term, “creative agency”. Evaluating the contribution of an assistant or technician based on the degree of autonomy that they are granted in the production of a work is an approach that I show can be used to precisely determine the nature of their contribution to the production of a work and accordingly, what kind of recognition an agent should receive for this. Importantly, this approach has the advantage of explaining the artistic and epistemic significance of different kinds of contribution to the production of artistic and scientific work. (shrink)

In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence, into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience (...) that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents. (shrink)

The aim of this paper is to establish that free agency, which is a capacity of many animals including human beings, is compatible with indeterminism: an indeterministic world allows for the existence of free agency. The question of the compatibility of free agency and indeterminism is less discussed than its mirror image, the question of the compatibility of free agency and determinism. It is, however, of great importance for our self-conception as free agents in our (arguably) indeterministic world. We begin (...) by explicating the notions of indeterminism and free agency and by clarifying the interrelation of free agency and the human-specific notion of free will. We then situate our claim of the compatibility of free agency and indeterminism precisely in the landscape of the current debate on freedom and determinism, exposing an unhappy asymmetry in that debate. Then we proceed to make our case by describing the mathematically precise, physically motivated model of projective simulation, which employs indeterminism as a central resource for agency modeling. We argue that an indeterministic process of deliberation modeled by the dynamics of projective simulation can exemplify free agency under indeterminism, thereby establishing our compatibility claim: Free agency can develop and thrive in an indeterministic world. (shrink)