Back to Search
Start Over
Building machines that learn and think with people.
- Source :
-
Nature human behaviour [Nat Hum Behav] 2024 Oct; Vol. 8 (10), pp. 1851-1863. Date of Electronic Publication: 2024 Oct 22. - Publication Year :
- 2024
-
Abstract
- What do we want from machine intelligence? We envision machines that are not just tools for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and trustworthy systems that think with us. Current artificial intelligence systems satisfy some of these criteria, some of the time. In this Perspective, we show how the science of collaborative cognition can be put to work to engineer systems that really can be called 'thought partners', systems built to meet our expectations and complement our limitations. We lay out several modes of collaborative thought in which humans and artificial intelligence thought partners can engage, and we propose desiderata for human-compatible thought partnerships. Drawing on motifs from computational cognitive science, we motivate an alternative scaling path for the design of thought partners and ecosystems around their use through a Bayesian lens, whereby the partners we construct actively build and reason over models of the human and world.<br /> (© 2024. Springer Nature Limited.)
- Subjects :
- Humans
Bayes Theorem
Cooperative Behavior
Cognition
Artificial Intelligence
Thinking
Subjects
Details
- Language :
- English
- ISSN :
- 2397-3374
- Volume :
- 8
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Nature human behaviour
- Publication Type :
- Academic Journal
- Accession number :
- 39438684
- Full Text :
- https://doi.org/10.1038/s41562-024-01991-9