Publications

The AI Liability Gap

Moral Foundations of Algorithmic Fairness: Bridging Religious Ethics, Human Intention, and AI Bias Mitigation

Invited to present and discuss this research on AI fairness and accountability at the 2026 Dialogue Between Religion and Science Conference, organized by Respect Graduate School and the Bech-Loughlin First Amendment Center at the University of Texas School of Law.

Bridging the Gap: A Lifecycle-Based Framework for Mitigating Bias in Organizational AI Systems

AI Systems Are Already Taking Unauthorized Actions

Commercial Data Model Framework for Government and Private-Sector Organizations