FEDERICO J. QUIJADA
AI GOVERNANCE ARCHITECTURE &
EXECUTIVE EDUCATION
Speaking
Keynotes, panels, and executive sessions on making AI accountable by design. I speak to boards, executive teams, and Chief AI Officer audiences, drawing on twenty years leading technology programs in regulated industries, doctoral research at Purdue, and legal training. Available in English and Spanish, in person or virtually.
Topics
Verification by design. How to build assurance into AI systems that inform consequential decisions, so that accountability is a property of the design rather than an audit after the fact.
AI governance that holds up under scrutiny. What regulators, auditors, and boards will ask about an AI-supported decision, and how an institution can be ready to answer.
Contracting for AI. Aligning vendor agreements with how the technology actually works: data flows, subprocessors, traceability, and exit.
Leading AI adoption in regulated institutions. Why so many enterprise AI programs stall in the gap between a sound design and an institution's ability to use it, and what leaders can do about it.
Recent Appearances
AI Assurance & Governance Summit, Stanford, CA, October 2026. Finalist paper and presentation: Verification-by-Design: Embedding Assurance into AI-Enabled Decision Architectures.
WLW (Women in a Legal World) AI and IP series, Barcelona, October 2026. Panelist: Intellectual Property and Contracting with AI Providers.
ICAD 2026, International Conference on Axiomatic Design, MIT, June 2026. Presentation on memory-centric, dual-process AI architecture for managerial judgment.
BIG.AI@MIT 2026, MIT Initiative on the Digital Economy, April 2026. Poster presentation on compliance-by-design generative AI at the edge.
Speaker Bio
Federico J. Quijada is an AI governance architect and executive educator based in Chicago. He teaches AI leadership in executive programs at MIT Professional Education, Cornell, and the University of Cambridge, and is a Doctor of Technology (AI) candidate at Purdue University, where his research focuses on memory-centric AI architecture for regulated decision-making. He spent more than twenty years leading technology programs at AIG, Blue Cross Blue Shield, Wells Fargo, and United Airlines, and holds a JD from Villanova, an ScM from Brown, and a Master of Liberal Arts from the University of Chicago.
For event programs, a headshot and a longer bio are available on request.