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Unhumanizing Models. Why we Need to Change how We Think about AI

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If you have a question about this talk, please contact Panagiotis Fytas .

AI models are seemingly everywhere these days, feeling more human than ever before. However, we should be careful not to humanize those models, as it gives them powers they do not possess and obscures the flaws they do have. In this talk, I will look at examples where models seem to know, understand, feel, create, judge, or move like humans and why it is still wrong to anthropomorphize them. At the same time, we will have to find a way to inform AI about what it means to be human if we want to prevent harm and improve their capabilities. For that, we must look across disciplinary boundaries and build a (social) theory of AI.

This talk is part of the Language Technology Lab Seminars series.

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