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Getting right is harder than one would think.

I just posted an analysis on AI authorship over at :
sentientsyllabus.substack.com/

Key takeaways include: that arguments based on our usual criteria of /contribution/ and /accountability/ are brittle; that the problem lies with authorship being a vague term (cf. sorites paradox); that we are using posterior reasoning to justify our intuitions; and that reliable intuitions about the actual nature of the emergent(!) source-AI-author system need more work. A practical policy proposal rounds it off: empower the authors, use meaningful acknowledgements, quantify contributions.

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