How Much Like Us Do We Want AIs to Be
Considering Both Intelligence and Psychology When Thinking about “Human-like” AI
Bibliographic Data
| ID | 22250706 |
|---|---|
| Authors | Eric Dietrich (0000-0002-1410-0307), Chris Fields (0000-0002-4812-0744), John P Sullins (0000-0002-2902-9283), Bram Van Heuveln, Robin Zebrowski, Robin L Zebrowski (0000-0001-6438-5219) |
| Year | 2024 |
| Volume | 28 |
| Issue | 2 |
| Pages | 137-168 |
| Publication date | 2024-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Techné Research in Philosophy and Technology (JOURNAL) |
| Journal identifiers | ISSN: 2691-5928 • E-ISSN: 2691-5928 |
| Publisher | Philosophy Documentation Center (PUBLISHER • US) |
| DOI | 10.5840/techne202486200 |
| OpenAlex | W4401403606 |
| Language | EN |
Replicating or exceeding human intelligence, not just in particular domains but in general, has always been a major goal of Artificial Intelligence (AI). We argue here that “human intelligence” is not only ill-defined, but often conflated with broader aspects of human psychology. Standard arguments for replicating it are morally unacceptable. We then suggest a reframing: that the proper goal of AI is not to replicate humans, but to complement them by creating diverse intelligences capable of collaborating with humans. This goal renders issues of theory of mind, empathy, and caring, or community engagement, central to AI. It also challenges AI to better understand the circumstances in which human intelligence, including human moral intelligence, fails
| Highly cited | No |
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