Ask HN: Do sociotechnical pressures select for beneficial or harmful AI systems?
The full question I'm wondering about is as follows:
Do sociotechnical selection pressures reliably favor ML systems that (a) increase their own future deployment probability and (b) reshape institutions/data pipelines to entrench that probability, even without explicit 'survive' objectives?
I've gathered some links exploring this and tangential ideas here: https://studium.dev/drafts/f1 - I'd love to find more reading material
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