This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, leading scholars in law, philosophy, computer science and politics examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice.

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems – vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations as collective enterprises, and interconnected systems as risk pools – and by developing corresponding liability rules. The book relies on a unique combination of information technology studies, sociological institution and risk analysis, and comparative law. This approach uncovers recursive relations between types of machine behaviour, emergent socio-digital institutions, their concomitant risks, legal conditions of liability rules, and ascription of legal status to the algorithms involved.

In "Legal and Humble AI: Addressing the Legal, Ethical, and Societal Dilemmas of Generative AI," the author takes a deep dive into the murky world of algorithmic bias. With the rise of AI technology, it's become increasingly clear that our legal and ethical frameworks are struggling to keep up. This book confronts the challenges head-on, offering insights into the complex intersection of law, ethics, and society when it comes to generative AI. From discriminatory hiring practices to biased medical diagnoses, AI algorithms have been found to perpetuate and even exacerbate existing social inequalities. The author explores the ways in which our legal system can adapt to this new reality, with an eye toward creating a more equitable future. Through real-world examples and thought-provoking analysis, "Legal and Humble AI" provides a compelling look at the implications of unchecked AI power. With accessible language and a keen understanding of the subject matter, this book is a must-read for anyone interested in the intersection of technology and society. Whether you're a legal professional, AI developer, or concerned citizen, "Legal and Humble AI" offers valuable insights into the challenges and opportunities that arise from the widespread use of generative AI. This book is a call to action, urging us to confront the ethical and legal dilemmas posed by AI technology, and to work toward a more just and equitable future.

Originally published by Westview in 1993.

This book engages with post-truth as a problem of societal order and for scholarly analysis. It claims that post-truth discourse is more deeply entangled with main Western imaginations of knowledge societies than commonly recognised. Scholarly responses to post-truth have not fully addressed these entanglements, treating them either as something to be morally condemned or as accusations against which scholars have to defend themselves (for having somehow contributed to it). Aiming for wider problematisations, the authors of this book use post-truth to open scholarly and societal assumptions to critical scrutiny. Contributions are both conceptual and empirical, dealing with topics such as: the role of truth in public; deep penetrations of ICTs into main societal institutions; the politics of time in neoliberalism; shifting boundaries between fact – value, politics – science, nature – culture; and the importance of critique for public truth-telling. Case studies range from the politics of nuclear power and election meddling in the UK, over smart technologies and techno-regulation in Europe, to renewables in Australia. The book ends where the Corona story begins: as intensifications of Modernity’s complex dynamics, requiring new starting points for critique.

"The Oxford Handbook of Digital Ethics is a lively and authoritative guide to ethical issues related to digital technologies, with a special emphasis on AI. Philosophers with a wide range of expertise cover thirty-seven topics: from the right to have access to internet, to trolling and online shaming, speech on social media, fake news, sex robots and dating online, persuasive technology, value alignment, algorithmic bias, predictive policing, price discrimination online, medical AI, privacy and surveillance, automating democracy, the future of work, and AI and existential risk, among others. Each chapter gives a rigorous map of the ethical terrain, engaging critically with the most notable work in the area, and pointing directions for future research"--

As artificial intelligence (AI) continues to seep into more areas of society and culture, critical social perspectives on its technologies are more urgent than ever before. Bringing together state-of-the-art research from experienced scholars across disciplines, this Handbook provides a comprehensive overview of the current state of critical AI studies.