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.

Introductory Comment

When AI meets common sense, frictions will arise

Part 1: The scene and the argument of common sense

1. AI with common sense: What concept of common sense?

2. Self-awareness and common sense: The paradox of AI. A dispassionate look

Part 2: Egocentric common sense: AI with additional features

3. Giving AI some common sense

4. Human interaction with robots

5. Towards robots with common sense

6. Common sense, artificial intelligence and psychology

Part 3: Inter-subjective common sense: public discourse

7. Giambatistta Vico's dialogical common sense

8. The a-sociability of AI: Knowledge, social interactions, and the dynamics of common sense

9. Exploring the common wisdom on artificial intelligence and its political consequences: The case of Germany

10. Associations of AI and common sense in the news

11. Meanwhile in Japan: The possibility of Techno-animism for engaging deliberation for emerging technology

Part 4: Unsettling or highlighting common sense?

12. Common-sense attributions of AI agency: Evidence from an experiment with ChatGPT

13. The challenges and opportunities in large language models: Navigating the perils of stochastic and scholastic parrots in artificial understanding and common sense

14. Artificial intelligence in personnel selection: Reactions of researchers, practitioners and applicants

15. Self-driving vehicles (SDVs) and common sense

Part 5: Conclusion

16. AI goes to the movies: Fast, intermediate and slow common sense

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).