Retired Judge | AI Governance & Liability Strategist | Architect of the JUSTICE Framework™ | Keynote Speaker | Executive Advisor

The Practice

AI AscentiVision is an independent AI governance and advisory practice established by Hon. Patricia J. Titus (Ret.) to bring judicial rigor, procedural discipline, and due process principles to the governance of AI-enabled decisions.

The practice does not build or sell AI systems. It exists to help organizations govern them, defend them, and demonstrate accountability when they are challenged.

AI AscentiVision operates independently of AI development, deployment, and vendor relationships. Every engagement is conducted with the same evidentiary discipline brought to the bench: rigorous, documented, and defensible.

The Background

Judge Titus brings more than four decades of legal and judicial experience to AI governance challenges. As a retired judge with over 25 years on the bench and 15 years as a practicing attorney, she combines deep expertise in fairness, evidence, procedural accountability, and institutional decision-making with specialized knowledge of artificial intelligence governance and organizational risk.

She holds a J.D. from UCLA School of Law and an A.B. from Stanford University. She is a Professional Registered Parliamentarian (PRP), a Distinguished Toastmaster, and is certified in Stanford University's Generative AI: Technology, Business, and Society program.

In February 2026, Judge Titus participated in IASEAI'26, the International Association for Safe and Ethical Artificial Intelligence conference held at UNESCO House in Paris, where regulators, technologists, researchers, and policy leaders examined the future of safe and accountable AI. She engaged in substantive dialogue on algorithmic due process, evidentiary accountability, and the governance requirements of agentic AI systems.

The Framework

Judge Titus is the Architect of the JUSTICE Framework™, a seven-pillar due process methodology for operationalizing procedural fairness in AI-enabled decision systems. The Framework is the foundation for every engagement she conducts and the subject of her ongoing AI Governance White Paper Series.

The Positioning

Most AI governance frameworks are built to demonstrate compliance. The JUSTICE Framework™ is built to survive challenge.

That distinction is not semantic. It is the difference between governance theater and governance reality. Organizations that can produce a documented record of due process in AI decision-making are organizations that can defend their decisions under regulatory scrutiny, litigation, or public challenge.

Judge Titus helps organizations build that record before they need it.

The Global Engagement

Judge Titus engages in international AI governance dialogue, including forums such as IASEAI, where regulators, technologists, and policy leaders examine the future of safe and ethical AI. Her perspective is consistently litigation-anchored and evidence-focused: governance succeeds or fails where implementation meets the evidentiary standard required when decisions are challenged.

In AI, as in law, the question is not only, Can we? It’s, Should we? And when organizations act, the question that follows is, Can you prove it?

Judge Titus helps organizations answer all three.