Jennifer Kinne writes long-form essays on governance and accountability in AI and science, unpacking concepts like information-theoretic coherence and critiquing overhyped research findings. Each issue offers a single deep argument with worked definitions, case examples, and careful attention to what studies do and do not show.
Website: https://www.jenniferkinne.com/
Essays by a data and AI strategy advisor on making data and AI work in organisations, drawing on his grocery retail career. Pieces cover where AI efficiency gains actually become value, how vendor compliance claims fail in practice, and how measurement changes silently distort data.
This newsletter extends a book on AI and cybersecurity with essays on evaluating, governing, and deciding when to delegate work to AI systems. Each issue offers a practical framework for security leaders, such as separating capability from delegability and autonomy from authority.
Helen Toner's Substack on navigating a world with very advanced AI, covering the vagueness of AGI definitions, AI jaggedness, and the risks of personalized AI. Readers get careful, expert-informed argument about AI capabilities and governance, with occasional guest essays.
A researcher at the Institute for Law & AI writes about the legal, policy and ethical questions raised by advanced AI, including regulation, AI agents' legal duties and legal citation standards. Readers get original legal analysis and working-paper summaries from someone directly involved in the research.
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