Thoughts on AI and Inner Source

on YouTube ↗17m

" summary

Search of the InnerSource Patterns finds three loose references to technical debt and zero usable entries about AI, so the claim is that current guidance lacks AI specifics. The talk contrasts discriminative vs generative AI (noting generative breakout in Nov 2022), warns that generative models require provenance for massive training corpora, and argues organisations must make open data must be findable and verifiable — do not deploy models when training data provenance is unknown.

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" chapters (7)

1. 0:00Introduction and welcome
2. 1:16Chesterton fence concept
3. 5:14Inner Source and AI overview
4. 8:10Discriminative vs generative AI
5. 12:46AI in Inner Source environments
6. 14:33Data and open data principles
7. 16:18Compliance and risks in AI deployment

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