Episode 97: Principles Before Practice - How CLEAR Is Shaping Responsible AI Use

In this episode of Regulation Matters: a CLEAR conversation, host Line Dempsey explores the newly released CLEAR Principles for Ethical and Effective AI in Professional Regulation with working group members Paul Byrne, Kelly Parker, and Candice Alder. The discussion examines why CLEAR stepped forward to develop a shared, principle-based framework for artificial intelligence at a time of rapid technological change and fragmented global adoption. Centered on three core commitments—professional competence, human-centered ethics, and trust through oversight—the conversation highlights the importance of maintaining human accountability, safeguarding public trust, and ensuring transparency as AI tools are integrated into regulatory work. From practical applications like administrative triage and document verification to deeper questions of explainability, informed consent, and governance, the episode offers regulators a thoughtful roadmap for adopting AI responsibly while preserving the integrity and authority of professional regulation.

Listen Now

Then, engage in further discussion on CLEAR's Regulatory Network (members-only, join here).

• Which of the CLEAR principles—professional competency, human-centered ethics, or trust through oversight—do you think would be the most challenging for regulators to implement, and why?
• How do you see AI impacting your own regulatory work in the next few years?
• What supports or safeguards would help you feel confident using AI tools responsibly?