-/- Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the (...) usual hype and nightmare scenarios to address concrete questions. -/- Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society . (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...) by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

Ποια είναι η πατρίδα κάποιων; Ας δούμε το θέμα λίγο σαν πρόβλημα της φιλοσοφίας της γλώσσας: για ένα κατηγόρημα «Άγγλος» «Γάλλος», «Πορτογάλος», «Βέλγος», «Φλαμανδός», πώς να αποφασίσουμε ποια αντικείμενα (ποιοι άνθρωποι) εμπίπτουν σε ποιο κατηγόρημα; Έχουν τελικά νόημα αυτά τα κατηγορήματα; Η χρήση και κατάχρηση αυτών των κατηγορημάτων έχει αποτελέσει μια από τις κυριότερες πηγές δυστυχίας στη διάρκεια των δύο τελευταίων αιώνων και συνεχίζει να είναι στην ημερήσια διάταξη. Συνήθως εμφανίζεται στα πλαίσια αγώνων για την απόκτηση «ελευθερίας» σε αντιπαράθεση με (...) την «καταπίεση», και σε παγκόσμιο επίπεδο και κοντύτερα μας: στη Μακεδονία, την Καταλονία, την Ιρλανδία, το Κουρδιστάν ... Νομίζω πώς αρκετά από αυτά βασίζονται σε λάθη. (shrink)