Call for chapters: Humans Meet AI

Following our successful international conference in June 2019 at Örebro University, Prof Alessandro Saffiotti and myself will be the editors of the following book. We wish to extend the chapters to authors that did not participate in the symposium. You are welcome to send your abstract before the end of September 2019. Full papers (7000 words) are expected by the end of 2019 and content will be peer-reviewed. The publisher is very likely to be Springer (Anticipation Science Series). Please contact us for more details.

Humans Meet AI

Anticipating Anthrobotic Systems

Much has been said about artificial intelligence being used to replace the need for human workers, and perhaps even for human intelligence. We propose a reflection on the relationship between humans and AI, not in terms of replacement, but in terms of encounter, if possible a collaborative and supportive meeting. How is that possible? First we ought to admit, problematize and understand the anthrobotic nature of our epoch, the fact that humans and intelligent systems are now enmeshed in socio-technical ensembles. Then we need to anticipate what situations, issues or opportunities this merging might implicate, given that AI tools are often used today to reinforce analytical methods of prediction, a form of mechanistic anticipatory intelligence. If human and biological anticipation is more than reactive and mechanistic prediction, how can it play a role in the new anthrobotic symbiosis, if it is a symbiosis: intuitive, participative, proactive, dialectical, creative? This book emerged from the cross-disciplinary conference “Anticipation and Anticipatory Systems: Humans Meet AI”, organized at the university of Örebro in June 2019. It combines papers by computer scientists, philosophers, sociologists, psychologists, historians, etc. It is a unique and long-awaited contribution to the fields of Anticipation Studies and collaborative AI, and a contribution to the necessary cross-disciplinarity needed to solve the challenges and problems of cognitive automation in the twenty-first century.

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