Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?
Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.
A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.
Table of Contents:
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
