In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human paintings as art to roughly the same extent. However, people are much less (...) willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots. (shrink)

Arbitrariness is a distinctive feature of human language, and a growing body of comparative work is investigating its presence in animal communication. But what is arbitrariness, exactly? We propose to distinguish four notions of semiotic arbitrariness: a notion of opaque association between sign forms and semiotic functions, one of sign-function mapping optionality, one of acquisition-dependent sign-function coupling, and one of lack of motivatedness. We characterize these notions, illustrate the benefits of keeping them apart, and describe two reactions to our proposal: (...) abandoning arbitrariness-talk in favor of the newly introduced conceptual vocabulary, or feeding the distinctions back into the parent concept. (shrink)

Predictability is a prerequisite for effective human control of artificial intelligence (AI). The inability to predict malfunctioning of AI, for example, impedes timely human intervention. In this paper, we empirically investigate how AI’s predictability compares to the predictability of humans in a real-effort task. We show that humans are worse at predicting AI performance than at predicting human performance. Importantly, participants are not aware of the differences in relative predictability of AI and overestimate their prediction skills. These results raise doubts (...) about the human ability to effectively exercise control of AI — at least in certain contexts. (shrink)

This article contributes to normative debates about residential segregation and its relationship to inequality. It defends a position often disregarded in literature: that there is merit to advancing residential integration through some scenarios where advantaged individuals move to disadvantaged areas. It develops this case in dialogue with three other views. In relation to advocates of addressing the inequalities of residential segregation through redistribution, it defends integration as a means of tackling social and political factors that sustain injustice. It challenges those (...) who defend relocating disadvantaged individuals to advantaged areas by highlighting the burdens and demand for cultural assimilation this imposes on the disadvantaged. It considers the worry that advantaged individuals relocating to disadvantaged areas harbours the problematic features of gentrification. It responds that these concerns, while important in some cases, do not arise in all scenarios of this kind. (shrink)

Affect-based theorists and life satisfaction theorists disagree about the nature of happiness, but agree about this methodological principle: a philosophical theory of happiness should be in line with the folk concept HAPPINESS. In this article, we present two empirical studies indicating that it is affect-based theories that get the folk concept HAPPINESS right: competent speakers judge a person to be happy if and only if that person is described as feeling pleasure/good most of the time. Our studies also show that (...) the judgement that a person is feeling pleasure/good most of the time reliably brings about the judgement that they are satisfied with their life, even if that person is described as not satisfied. We suggest that this direct causal relation between the concepts POSITIVE AFFECT and LIFE SATISFACTION might explain why many philosophers have been attracted to life satisfaction theories. (shrink)

Understanding the origins of human social cognition is a central challenge in contemporary science. In recent decades, the idea of a ‘Theory of Mind’ (ToM) has emerged as the most popular way of explaining unique features of human social cognition. This default view has been progressively undermined by research on ‘implicit’ ToM, which suggests that relevant precursor abilities may already be present in preverbal human infants and great apes. However, this area of research suffers from conceptual difficulties and empirical limitations, (...) including explanatory circularity, over-intellectualisation, and inconsistent empirical replication. Our article breaks new ground by adapting ‘script theory’ for application to both linguistic and non-linguistic agents. It thereby provides a new theoretical framework able to resolve the aforementioned issues, generate novel predictions, and provide a plausible account of how individuals make sense of the behaviour of others. Script theory is based on the premise that pre-verbal infants and great apes are capable of basic forms of agency-detection and non-mentalistic goal understanding, allowing individuals to form event-schemata that are then used to make sense of the behaviour of others. We show how script theory circumvents fundamental problems created by ToM-based frameworks, explains patterns of inconsistent replication, and offers important novel predictions regarding how humans and other animals understand and predict the behaviour of others. (shrink)

In the standard volunteer’s dilemma (VoD), a single prosocial act (i.e., volunteering) yields the optimal overall outcome. Whereas the volunteer’s outcome is certain, the defector’s outcome depends on what others do. This research addressed the confounding of prosocial responses with uncertainty avoidance in the standard VoD. In Experiment 1, participants (N = 102) considered 18 hypothetical one-shot two-person VoD scenarios with certain, risky, and uncertain outcomes when volunteering. In Experiment 2, participants (N = 496) considered three hypothetical one-shot two-person VoD (...) scenarios; a certain VoD and two uncertain VoDs of which one had a lower expected collective outcome of volunteering than the certain VoD and the other a higher one. Results suggest that volunteering does not reflect a desire to avoid uncertainty but to maximize expected collective outcomes, reinforcing the assumption that the high volunteering rates we see in a standard VoD are due to social/moral preferences and social projection. (shrink)

Biological kin share up to half of their genetic material, including predisposition to disease. Thus, variants of clinical significance identified in each individual’s genome can implicate an exponential number of relatives at potential risk. This has renewed the dilemma over family access to research participant’s genetic results, since prevailing US practices treat these as private, controlled by the individual. These individual-based ethics contrast with the family-based ethics – in which genetic information, privacy, and autonomy are considered to be familial – (...) endorsed in UK genomic medicine and by participants in a multi-method study of US research participants presented here. The dilemma reflects a conflict between US legal and ethical frameworks that privilege “the individual” and exclude “the family” versus actual human genetics that are simultaneously individual and familial. Can human genetics succeed in challenging bioethics’ hegemonic individualism to recognize and place the family at the center of the room where bioethics happens? (shrink)

The perspectives of genomic citizen scientists on ownership of research outputs are not well understood, yet they are useful for identifying alignment of participant expectations and project practices and can help guide efforts to develop innovative tools and strategies for managing ownership claims. Here, we report findings from 52 interviews conducted in 2018 and 2019 to understand genomic citizen science stakeholders’ conceptualizations of, experiences with, and preferences for ownership of research outputs. Interviewees identified four approaches for recognizing genomic citizen scientists’ (...) ownership and related credit interests in research outputs: shared governance via commons models; fractional ownership of benefits; full and creative attribution; and offensive and defensive patenting. Interviewees also agreed that the model selected by any project should at least maximize access to research outputs and, as appropriate and to the extent possible, broadly distribute rights of control and entitlements to research benefits. (shrink)

This paper presents, from the perspectives of both social scientists and microbiologists, a case study of the implementation and practice of Responsible Innovation (RI) in a UK-based synthetic biology project. We highlight the impact of interdisciplinary working and examine the benefits that arise from creating the time and space for shared reflection on research. Our discussions over the course of the project included concerns about the potential escape to the environment of laboratory-constructed genetic material and alternatives to the role that (...) antibiotic resistance genes play in synthetic biology. As a result, the design of a key product of the project was altered in ways that go beyond normal institutional requirements. We highlight our view of the importance of continued interdisciplinary collaboration and the utility of the framework of Responsible Innovation in achieving this. We conclude with observations on the difficulties of sustaining such collaborations. (shrink)

Essay Review: Cora Diamond on Ethics (ed. Maria Balaska).

Schurz (2019, ch. 4) argues that probabilistic accounts of induction fail. In particular, he criticises probabilistic accounts of induction that appeal to direct inference principles, including subjective Bayesian approaches (e.g., Howson 2000) and objective Bayesian approaches (see, e.g., Williamson 2017). In this paper, I argue that Schurz’ preferred direct inference principle, namely Reichenbach’s Principle of the Narrowest Reference Class, faces formidable problems in a standard probabilistic setting. Furthermore, the main alternative direct inference principle, Lewis’ Principal Principle, is also hard to (...) reconcile with standard probabilism. So, I argue, standard probabilistic approaches cannot appeal to direct inference to explicate the logic of induction. However, I go on to defend a non-standard objective Bayesian account of induction: I argue that this approach can both accommodate direct inference and provide a viable account of the logic of induction. I then defend this account against Schurz’ criticisms. (shrink)