A working archive of insight reports, peer-reviewed papers, and original research spanning AI governance, privacy engineering, machine learning, and emerging technology policy, written for practitioners, regulators, and the academic community.
Long-form analyses synthesizing regulatory, technical, and economic context for organizations operationalizing AI governance, privacy engineering, and modern advertising technology. Free to read; cited in policy and industry analysis.
Original research across AI governance, privacy engineering, machine learning, computer vision, and computational mathematics. Each paper links to the full text.
Governing Intelligence: Law, Privacy, Security, and Compliance in the Age of Artificial Intelligence, the comprehensive AI governance textbook reaching more than 100,000 readers across industry, academia, and government. Open access through a free online learning hub.
For citation requests, academic collaboration, conference invitations, or commissioned research, email is the fastest path. Working papers and pre-prints are shared on request.
info@noahkenney.com