Artificial intelligence (AI) is one of the main drivers of what has been described as the “Fourth Industrial Revolution”, as well as the most innovative technology developed to date. It is a pervasive transformative innovation, which needs a new approach. In 2017, the European Parliament introduced the notion of the “electronic person”, which sparked huge debates in philosophical, legal, technological, and other academic settings. The issues related to AI should be examined from an interdisciplinary perspective. In this paper, we examine (...) this legal innovation—that has been proposed by the European Parliament—from not only legal but also technological points of view. In the first section, we define AI and analyse its main characteristics. We argue that, from a technical perspective, it appears premature and probably inappropriate to introduce AI personhood now. In the second section, justifications for the European Parliament’s proposals are explored in contrast with the opposing arguments that have been presented. As the existing mechanisms of liability could be insufficient in scenarios where AI systems cause harm, especially when algorithms of AI learn and evolve on their own, there is a need to depart from traditional liability theories. (shrink)

While concurring with Honneth’s reconstruction of reification as a form of forgetfulness, this article questions the way in which he arrives at that conclusion as well as the conceptual status he ascribes to recognition – the instance with reference to which reification is exhibited as distortion or deformation. It argues, first, that Honneth’s dualistic mode of argumentation falls behind the left-Hegelian tradition which he himself seeks to revitalize, thus causing a serious architectonic problem; and, second, that while polemicizing strongly against (...) the cognitive approach, he at crucial points actually reverts to the very resources made available by that mode of thinking. Being the central concern of the article, this latter aspect is treated as the cognitive problem in his work, especially in his Tanner Lectures. (shrink)

An expert is commonly considered to be somebody who possesses the right kind of knowledge and skills to find out true answers for questions in a domain. However, this common conception that focuses only on an individual’s knowledge and skills is not very useful to understand the epistemically interdependent nature of contemporary scientific expertise, which becomes increasingly more relevant due to the rise of large interdisciplinary research collaborations. The typical scientific expert today relies substantially on complex scientific instruments and numerous (...) other experts in forming expert judgment. Moreover, we have research collaborations where multiple scientists interact in a way that gives rise to distributed cognitive systems, which can act as a single informant. Accordingly, our concept of scientific expertise should not consist only in individual knowledge and skills, but also accommodate epistemic dependence and collective knowledge production. To this aim, this paper proposes a reconstruction of the concept of scientific expertise as informant reliability by building on the virtue-epistemological account of epistemic competences and theories of extended and distributed cognition. Considered in reference to the social epistemic function of expertise, a scientific expert should be conceived as a reliable informant in a scientific domain, which implies that when consulted on matters in that domain they assert competently, honestly, and completely. Competent expert assertion involves the epistemic responsibility to draw on nothing but the highest degree of epistemic competence relevant to the given context. Thus, being a reliable informant may require one to draw on an extended epistemic competence that goes beyond one’s individual competence, or to form supra-individual or group-informants that manifest collectively the kind of complex epistemic competence required for the investigation of certain research questions. (shrink)

This volume provides a broad overview of issues in the philosophy of behavioral biology, covering four main themes: genetic, developmental, evolutionary, and neurobiological explanations of behavior. It is both interdisciplinary and empirically informed in its approach, addressing philosophical issues that arise from recent scientific findings in biological research on human and non-human animal behavior. Accordingly, it includes papers by professional philosophers and philosophers of science, as well as practicing scientists. Much of the work in this volume builds on presentations given (...) at the international conference, “Biological Explanations of Behavior: Philosophical Perspectives”, held in 2008 at the Leibniz Universität Hannover in Germany. The volume is intended to be of interest to a broad range of audiences, which includes philosophers (e.g., philosophers of mind, philosophers of biology, and metaethicists), as well as practicing scientists, such as biologists or psychologists whose interests relate to biological explanations of behavior. (shrink)