ActInf GuestStream 084.1 ~ Anthropocentric bias and the possibility of artificial cognition

Raphael Milliere, Charles Rathkopf
"Anthropocentric bias and the possibility of artificial cognition"
arxiv.org/abs/...
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.
arXiv:2407.03859
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Thank you so much for sharing these videos. I am not a researcher and definitely not a specialist but these topics are becoming more and more important nowadays. Cheers!