This book presents the first comprehensive set of principles for an ethics of science communication. We all want to communicate science ethically, but how do we do so? What does being ethical when communicating science even mean? The authors argue that ethical reasoning is essential training for science communicators. The book provides an overview of the relationship between values, science, and communication. Ethical problems are examined to consider how to create an ethics of science communication. These issues range from the (...) timing of communication, narratives, accuracy and persuasion, to funding and the client-public tension. The book offers a tailor-made ethics of science communication based on principlism. Case studies are used to demonstrate how this tailor-made ethics can be applied in practice. (shrink)

This paper argues that our understanding of many human-robot relations can be enhanced by comparisons with human-animal relations and by a phenomenological approach which highlights the significance of how robots appear to humans. Some potential gains of this approach are explored by discussing the concept of alterity, diversity and change in human-robot relations, Heidegger's claim that animals are 'poor in world', and the issue of robot-animal relations. These philosophical reflections result in a perspective on human-robot relations that may guide robot (...) design and inspire more empirical human-robot relations research that is sensitive to how robots appear to humans in different contexts at different times. (shrink)

Participants compared the mental capacities of various human and nonhuman characters via online surveys. Factor analysis revealed two dimensions of mind perception, Experience and Agency. The dimensions predicted different moral judgments but were both related to valuing of mind.

What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...) But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to. (shrink)

In this chapter, I use the expression “robotic animism” to refer to the tendency that many people have to interact with robots as if the robots have minds or a personality. I compare the idea of robotic animism with what philosophers and psychologists sometimes refer to as “mind-reading”, as it relates to human interaction with robots. The chapter offers various examples of robotic animism and mind-reading within different forms of human-robot interaction, and it also considers ethical and prudential arguments for (...) and against attributing minds and a personality to robots. In the last section of the chapter, I also consider the intriguing question of whether any robots that exist today could be said to have some sort of minds in some non-trivial sense. (shrink)

In this paper, I shall set out the pros and cons of assigning legal personhood on artificial intelligence systems under civil law. More specifically, I will provide arguments supporting a functionalist justification for conferring personhood on AIs, and I will try to identify what content this legal status might have from a regulatory perspective. Being a person in law implies the entitlement to one or more legal positions. I will mainly focus on liability as it is one of the main (...) grounds for the attribution of legal personhood, like for collective legal entities. A better distribution of responsibilities resulting from unpredictably illegal and/or harmful behaviour may be one of the main reasons to justify the attribution of personhood also for AI systems. This means an efficient allocation of the risks and social costs associated with the use of AIs, ensuring the protection of victims, incentives for production, and technological innovation. However, the paper also considers other legal positions triggered by personhood in addition to responsibility: specific competencies and powers such as, for example, financial autonomy, the ability to hold property, make contracts, sue. (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)

We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis that (...) people mistrust algorithms, participants trusted their AI partners to be as cooperative as humans. However, they did not return AI's benevolence as much and exploited the AI more than humans. These findings warn that future self-driving cars or co-working robots, whose success depends on humans' returning their cooperativeness, run the risk of being exploited. This vulnerability calls not just for smarter machines but also better human-centered policies. (shrink)

AI is revolutionizing everyone’s life, and it is crucial that it does so in the right way. AI’s profound and far-reaching potential for transformation concerns the engineering of systems that have some degree of autonomous agency. This is epochal and requires establishing a new, ethical balance between human and artificial autonomy.

Robots are now associated with various aspects of our lives. These sophisticated machines have been increasingly used in different manufacturing industries and services sectors for decades. During this time, they have been a factor in causing significant harm to humans, prompting questions of liability. Industrial robots are presently regarded as products for liability purposes. In contrast, some commentators have proposed that robots be granted legal personality, with an overarching aim of exonerating the respective creators and users of these artefacts from (...) liability. This article is concerned mainly with industrial robots that exercise some degree of self-control as programmed, though the creation of fully autonomous robots is still a long way off. The proponents of the robot’s personality compare these machines generally with corporations, and sporadically with, inter alia, animals, and idols, in substantiating their arguments. This article discusses the attributes of legal personhood and the justifications for the separate personality of corporations and idols. It then demonstrates the reasons for refusal of an animal’s personality. It concludes that robots are ineligible to be persons, based on the requirements of personhood. (shrink)

Most human beliefs are acquired through communication, and so are most misbeliefs. Just like the misbeliefs discussed by McKay & Dennett (M&D), culturally transmitted misbeliefs tend to result from limitations rather than malfunctions of the mechanisms that produce them, and few if any can be argued to be adaptations. However, the mechanisms involved, the contents, and the hypothetical adaptive value tend to be specific to the cultural case.

In our daily lives, we need to predict and understand others’ behavior in order to navigate through our social environment. Predictions concerning other humans’ behavior usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called ‘adoption of the intentional stance.’ In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture, and human-robot interaction. We propose that adopting the intentional stance might be (...) a pivotal factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance and examines literature related to the development of the intentional stance across life span. Subsequently, we discuss cultural norms as grounded in the intentional stance, and finally, we focus on the issue of adopting the intentional stance toward artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how – and also when – we predict and explain robots’ behavior by referring to mental states is of high interest. The paper concludes with a discussion on ethical consequences of adopting the intentional stance toward robots, and sketches future directions in research on this topic. (shrink)