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| 001 | 1031878 | ||
| 005 | 20241021205501.0 | ||
| 037 | _ | _ | |a FZJ-2024-05885 |
| 100 | 1 | _ | |a Rathkopf, Charles |0 P:(DE-Juel1)176538 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a International Conference on Machine Learning, Workshop on LLMs and Cognition |c Vienna |d 2024-07-26 - 2024-07-28 |w Austria |
| 245 | _ | _ | |a Anthropocentric bias and the possibility of artificial cognition |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1729513812_3409 |2 PUB:(DE-HGF) |x Invited |
| 520 | _ | _ | |a Evaluating the cognitive capacities of large language models (LLMs) requires overcoming not only anthropomorphic but also anthropocentric biases. This article identifies two types of anthropocentric bias that have been neglected: overlooking how auxiliary factors can impede LLM performance despite competence (Type-I), and dismissing LLM mechanistic strategies that differ from those of humans as not genuinely competent (Type-II). Mitigating these biases necessitates an empirically-driven, iterative approach to mapping cognitive tasks to LLM-specific capacities and mechanisms, which can be done by supplementing carefully designed behavioral experiments with mechanistic studies. |
| 536 | _ | _ | |a 5255 - Neuroethics and Ethics of Information (POF4-525) |0 G:(DE-HGF)POF4-5255 |c POF4-525 |f POF IV |x 0 |
| 700 | 1 | _ | |a Millière, Raphaël |0 P:(DE-HGF)0 |b 1 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1031878 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)176538 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5255 |x 0 |
| 914 | 1 | _ | |y 2024 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-7-20090406 |k INM-7 |l Gehirn & Verhalten |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-7-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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