AI and Common Sense

This book lays out key questions, practical challenges and 'common sense' concerns underlying the incorporation of Common Sense within machine learning algorithms for simulating intelligence, socializing robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.

Martin W. Bauer is Professor of Social Psychology and Research Methodology at the London School of Economics and Political Science (LSE). He investigates "common sense" in relation to science and emerging technologies in the international MACAS (Mapping the Cultural Authority of Science) network. He is a Fellow of the German National Academy of Technical Sciences (acatech). Recent publications include The Psychology of Social Influence: Modes and Modalities of Shifting Common Sense (2021, with Gordon Sammut); Atom, Bytes & Genes: Public Resistance and Techno-scientific Responses (2015).
Bernard Schiele (PhD) is a Professor of Communications in the Faculty of Communication at the University of Québec at Montréal (Canada). He has been working for a number of years on the socio-dissemination of S&T. Among other books he has recently published are Science Communication Today (2015, with Joëlle Le Marec and Patrick Baranger); Communicating Science, A Global Perspective (2020 with Toss Gascoigne and colleagues); Science Culture in a Diverse World: Knowing, Sharing, Caring (2021, with Xuan Liu and Martin Bauer); Le musée dans la société [The Museum in Society] (2021), and Science Communication: Taking a Step Back to Move Forward (2023, with Martin Bauer).