Law Journal Newsletters: AI Transparency: Clear Explanations Matter More Than Disclosure

Editor’s Note: In a recent article published in Law Journal Newsletters, HaystackID® Data Protection Officer and Special Counsel, Global Privacy and Forensics, Christoper Wall explores how organizations expand their use of AI across legal and business operations, leading to changing expectations around transparency. Regulators, courts, and users increasingly want more than broad disclosures that AI is being used; they want clear explanations about how systems function, what data they rely on, and how decisions are supported. Drawing from HaystackID’s webcast, “Meaningful Transparency in AI: What Privacy Laws Actually Require,” Wall examines the growing gap between generic AI disclosures and meaningful transparency practices grounded in governance, comprehension, and accountability. The discussion explores why organizations must first understand their own AI environments internally before they can accurately communicate those practices externally. It also examines recent legal and regulatory developments involving biometric privacy, consent, and AI-enabled data collection. As AI governance expectations continue to evolve, organizations are facing increasing pressure to align disclosures, operational practices, and user understanding.

Law Journal Newsletters: AI Transparency: Clear Explanations Matter More Than Disclosure

By Christopher Wall

This article was originally published in Law Journal Newsletters. View the PDF below or read the full article here.

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