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.

Transcript: http://clearweb.drivehq.com/podcast_transcripts/CLEAR_podcast_episode97_AI_principles_011326_transcript.pdf

In keeping with the topic, this episode summary was developed with the assistance of artificial intelligence and reviewed by CLEAR staff to ensure accuracy, clarity, and alignment with the values of professional regulation.