Signals
Notes from the frontier — grounded in the research.
Short, weekly syntheses on affect-aware AI, AI in computer-science education, and AI governance for leaders. Every claim is anchored to peer-reviewed literature with a DOI.
I Spent 30 Years in Telecom. AI Regulation Is Walking My Old Road.
Spectrum auctions taught me what AI governance is about to learn: whoever controls market access writes the rules. With notes on Bradford's Brussels Effect.
Oct 15, 2026 → AI GovernanceThe next board-level AI question isn't 'does it work' — it's 'who audits it'
As AI moves from pilot to production, the question shifts from capability to accountability — and a whole AI-assurance and auditing ecosystem is forming to answer it.
Jun 29, 2026 → AI GovernanceGoverning AI at the level of a country — where the money flows, and what you're really trading off
National AI governance isn't one policy — it's a system that must reach every sector. The hard questions: where public money flows, and which trade-offs are real.
Jun 29, 2026 → AI in CS EducationAffect-aware tutoring is growing up — and 2024's frontier is explainability
Emotion-aware tutoring has crossed from promise to engineering. The harder question now isn't reading a learner's affect — it's explaining why the system acts on it.
Jun 22, 2026 → AI in CS EducationAI can write the code. The real question is whether the student still learns.
Generative AI can pass intro programming courses — but the danger isn't bad code, it's bypassing the reasoning that learning to program is for.
Jun 16, 2026 → AI GovernanceYour AI problem isn't the model — it's governance
The economic case for AI is settled, yet most enterprise AI never ships. The bottleneck isn't capability — it's governance, and the best boards treat it as an enabler.
Jun 9, 2026 →