Papers

Five series, 37 papers, on what artificial intelligence actually changes inside organisations that carry accountability for their decisions, and what it does not. Every paper is here in full, free, with no registration. Each states the kind of evidence behind every substantive claim, and says plainly where that evidence is thin.

Ecaveo Responsible AI Series

Papers on deploying artificial intelligence inside organisations that carry accountability for their decisions. Each paper stands alone. Together they argue that durable advantage comes from decisions that can be reconstructed afterwards.

Enterprise AI, 2023 to 2024

Nine papers written month by month across the first two years of enterprise generative artificial intelligence. Each was written to what was known at the time and each stands alone. Read in order, they are a record of how the evidence moved, and of where the early claims did not hold.

Ecaveo Working Papers, AI Adoption: The Higher-Order Issues

Six papers written across the first seven months of public generative artificial intelligence, on the questions that sit above any particular tool. How evidence decays, what assistance costs an expert, what an organisation actually adopts, who owns an outcome, what an approval is worth once the system changes, and what waiting costs. Each paper stands alone.

Athleet.AI Performance Intelligence Series

Papers on the responsible use of artificial intelligence in performance sport. Each paper stands alone. Together they argue that advantage in sport comes from better decisions rather than more data.

Athleet.AI Working Papers, AI in Coaching and Athlete Development

Six papers on artificial intelligence in coaching and athlete development, written alongside the enterprise series and addressed to coaches, pathways and governing bodies. Talent prediction, coaching judgement, children's data, developmental fairness, training load, and who receives the benefit. Each paper stands alone.