Sep 16, 2026

The Watchdogs of AGI — Rune Kvist of AI Underwriting Company

AIUC co-founder Rune Kvist discusses their $40M Series A, emphasizing that AI adoption's biggest constraint is trust, not capability. He details AIUC-1, their quarterly-updated standard for agent security and reliability, and their expansion into model certification to bridge the trust gap between frontier labs and governments. Kvist highlights the critical role of standards and insurance (partnering with Lloyds of London) in quantifying and mitigating AI risks, from agent liability to national security concerns, and preparing for future challenges in robotics and multi-agent systems.

Jul 12, 2026

Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakers

This talk introduces the application of psychometrics, particularly Item Response Theory (IRT), to improve LLM evaluation. It highlights how IRT goes beyond simple accuracy to measure model ability, item difficulty, and discrimination, enabling benchmark auditing, adaptive testing, data leakage detection, and the identification of model relationships and distillation, ultimately providing deeper insights into what LLMs truly learn.

May 24, 2026

Five AI Risks That Can Get You Fired—And How to Avoid Them

Martin Keen explains five real-world AI risks that can lead to job loss: shadow AI, data leakage, hallucinations, prompt injection, and unauthorized AI agents. He emphasizes the critical need for strong AI governance to ensure safe and productive AI adoption in the workplace.