AI Reports · GovAI (Oxford) · 2026-10-17 · Research paper
Computer Science Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases March 2023 Emma Bluemke, Tantum Collins, Ben Garfinkel, Andrew Trask The development of priv
Privacy-enhancing technologies have made major progress in reducing the trade-off between privacy and performance in data exchange and analysis. The paper argues that similar “structured transparency” tools could support AI governance through external scrutiny, auditing, and source verification. It recommends viewing governance objectives as a system of information flows, since interoperability matters and gaps can appear if problems are addressed piecemeal before standards take hold.