Artificial Intelligence

In this book the authors argue if we assess AI decisions, products and calls for actions as if they came from a human being, we can avert a disastrous and amoral future. The authors outline moral principles to shape our AI future.

On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment,  and implementation across the globe? This book answers this question by  drawing on a range of critical approaches from the social sciences and humanities,  including posthumanism, ethics and human values, surveillance studies, Black  feminism, and other strategies for social and political resistance. The authors  analyse timely topics, including bias and language processing, responsibility  and machine learning, COVID-19 and AI in health technologies, bio-AI and  nanotechnology, digital ethics, AI and the gig economy, representations of AI in  literature and culture, and many more.

The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today - in everyday medical practice, for instance - to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

This book develops an original theoretical framework for understanding human-technology relations. The author's approach, which he calls technoanalysis, analyzes artificial intelligence based on Freudian psychoanalysis, biosemiotics, and Latour's actor-network theory.

This book covers areas like algorithm and machine learning in an approachable manner and engages the reader in philosophical issues relating to AI.

If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence as much as insights from AI theory. This book features contributions from leading experts and thinkers in artificial intelligence.