Data, IP & Training Rights

What We’re Tracking #

The legal and ethical battles over AI training data — copyright infringement lawsuits, fair use debates, opt-out mechanisms, synthetic data as an alternative, data licensing markets, and regulatory responses. This is foundational infrastructure: how these battles resolve will reshape what models can be trained on and who can train them. Focus on legal developments, regulatory proposals, and substantive analysis over opinion pieces.

Config: journals/topics/config/data-and-ip.yaml

How this journal works #

Gathered every 7 days: a web search on this topic (7 search terms) skips links already in the journal and writes one dated entry of what’s new, with links to related topics. Preferred sources: law.stanford.edu, techcrunch.com, technologyreview.com, arstechnica.com, theverge.com, eff.org, bakerlaw.com, mckoolsmith.com.

Strategy Changelog #