On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Data Ethics Club
Please join us for our next Data Ethics Club meeting on Wednesday 17-02-21 1pm-2pm. You don't need to register, just pop in. This time we're going to discuss On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? by Emily M. Bender and Timnit Gebru (joint first authors) and colleagues, which is the paper that got Timnit fired from Google.
There will be time to talk about whatever we like, relating to the paper, but here are some specific questions to think about while you're reading:
- Do you find it (counter-)intuitive that AI-generated text is without meaning, i.e. that the AI is a "stochastic parrot"?
- What are the implications of the meaninglessness of AI-generated content in other contexts?
- What are the implications of the fact that Google did not want this paper published?
This paper is a bit more technical than our previous ones. In any good journal club, the discussion is an opportunity to ask questions about any bits that you didn't understand, so keeping a note of any questions you might have will be helpful in sparking discussion, too.
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