Description
AI policy debates often stall on words that mean different things to different people. EncyclopAIdia is a glossary developed with researchers at Carnegie Mellon University’s CyLab that traces the etymology, definitional distinctions, and policy implications of contested terms and concepts in AI governance.
I first-authored two entries: a guide on fair use, analyzing how divergent legal rulings could shape AI training, licensing regimes, creative labor, unions, and the future of work; and a guide on AI benefit sharing, taxonomizing benefit-sharing mechanisms and actors across sovereignty, conditional access, and profit redistribution frameworks.
Some Questions I Explored:
Where do legal and technical usages of the same governance term diverge, and what does that divergence cost in practice?
How would competing fair use outcomes redistribute value between model developers and creative labor?
What mechanisms actually distribute the benefits of AI systems, and to whom do they accrue?