AI Governance Podcast - California's ADMT Regulations with Phil Laird

AI Governance Podcast - California's ADMT Regulations with Phil Laird

This episode of the AI Governance Podcast features Phil Laird [https://www.linkedin.com/in/philip-laird-416b403a/], General Counsel of the California Privacy Protection Agency (CPPA) [https://cppa.ca.gov/]. Phil leads the CPPA's legal function through the agency's work on automated decision-making technology - the ADMT regulations, the Risk Assessment requirements, and the Delete Request and Opt-out Platform (DROP) build that's now well underway. The CPPA has become arguably the most consequential US-side voice on AI governance, and Phil's role sits at the centre of how California is operationalising oversight in 2026 and 2027. Phil joined Enzai [https://www.enz.ai/]'s Matt McCallum to discuss: * Meaningful human involvement and automation bias: What California's definition of human review explicitly closes the door on, and the most common implementation failure mode in early ADMT programmes - organisations believing they have addressed automation bias when they have not. * The 2026/2027 implementation roadmap: The Risk Assessment timeline, what's in scope and when, and how California's regime overlaps with - and where it diverges from - EU AI Act and GDPR risk assessment work that businesses may already be doing. * The DROP platform: Where California is in the build of its centralised Delete Request and Opt-out Platform, the architectural ambition behind it, and what operational readiness in 2026/2027 looks like for in-scope businesses. * Frictionless as operating doctrine: Why the CPPA's "frictionless" framing is not consumer rhetoric but the operating principle shaping how the agency sequences regulatory work and what it expects from business. * Where the field is going: Phil's read on enforcement priorities, the practitioner gaps the CPPA is watching, and the next twelve months of agency agenda from inside the team.

AI Governance Podcast - AI Governance Across Borders with Sunil Gregory & Anindya Sircar

This episode of the AI Governance Podcast features Sunil Gregory [https://www.linkedin.com/in/sunil-gregory-6224548/] and Dr. Anindya Sircar [https://www.linkedin.com/in/anindyasircar/]. Sunil is at Cognizant, where he works with Fortune 500 enterprises on AI governance strategy and operating-model design. Anindya is the IPR Chair at NALSAR University of Law in Hyderabad, having previously run intellectual property at Biocon and Infosys. Together they are co-authors of the AI Governance Handbook (Springer, 2025) and are working on a follow-up that argues regulators are over-engineering the response to AI. Sunil and Anindya joined Enzai's Matt McCallum [https://www.linkedin.com/in/matthew-b-mccallum/] to discuss: The Structural Fix for Shadow AI: Sunil's three-layer model - consolidation, structured funded portfolio, and governance built into the development lifecycle - for CIOs whose AI budgets have already exhausted on pilots that haven't graduated. The IP Inventory Test: Anindya's "smoke detector in a building without a sprinkler system" framing for enterprise IP exposure programs - and the connected inventory question every governance team should be able to answer. Industrialised Inconsistency in Data: Why AI breaks what analytics didn't - when the human silently fixing the data is removed from the loop, every ambiguity surfaces as a wrong answer, a hallucination, or a critical legal exposure. India's Deliberate Choice: Why Western enterprise leaders most often misread India's DPDP Act as underdeveloped - and what they miss when they treat the principle-based framework as a strategic asset rather than a gap. Doctrine Over New Statute: A preview of Sunil and Anindya's follow-up book - and the case for extending existing legal doctrines (IP, privacy, accountability, sovereignty, human dignity) rather than inventing new AI-specific frameworks.

Governing Digital Remains with Dr. Carl Öhman

This episode of the AI Governance Podcast features Dr. Carl Öhman. Carl is an Associate Senior Lecturer at Uppsala University and the author of the 2024 book, The Afterlife of Data. He is one of the world's leading experts on the "digital afterlife industry" and the ethics of our informational remains. Carl joined Enzai's Matt McCallum to discuss: The "Informational Body": Why we need to treat our digital footprint as a persistent extension of ourselves that outlasts our physical lives. The Regulatory Gap: Why rights under frameworks like the GDPR "cease" at the moment of death, and the governance vacuum this creates for digital remains. Narrative Capture: The dangerous situation where a single individual or tech giant can own the entire historical narrative of movements like #MeToo through the purchase of platform data. Digital Colonialism: The economic incentives that could lead to the preservation of Western history while the digital records of the Global South are erased to save server space. Gods of Data: A preview of Carl's upcoming work on how LLMs collapse our collective ancestors into a singular "divine" presence, and the risks of outsourcing human decision-making to "perfect" machines. About Enzai: Enzai is the enterprise AI governance platform that helps organizations maximize AI adoption while minimizing risk across global regulatory frameworks Learn more about Enzai: www.enz.ai [https://www.enz.ai] Subscribe to our newsletter for more insights: www.enz.ai/contact/newsletter

Compliance vs. Accountability with Bojana Bellamy

This episode of the AI Governance Podcast features Bojana Bellamy. Bojana is the President of the Center for Information Policy Leadership (CIPL), a preeminent global think tank, and has spent over 25 years at the center of global data policy. Bojana joined Enzai's Matt McCallum to discuss: * The critical shift from "tick-box" compliance to organizational accountability as a business enabler. * How boards should evaluate the "loss of opportunity" in AI deployment rather than just the risk of fines. * The challenges of governing Agentic AI and moving toward delegated trust models. * Reconciling the tension between data protection principles and the massive data requirements of representative AI models. * The role of Privacy-Preserving Technologies (PPTs) in maintaining global data flows and building digital bridges.

Fundamental Rights and Digital Law with Sophie in 't Veld

This episode of the AI Governance Podcast features Sophie in 't Veld. Sophie is a defining figure in European digital rights, having served for 20 years as a Member of the European Parliament. She currently chairs the advisory council for the Centre for Democracy and Technology (CDT) in Europe. Sophie joined Enzai's Matt McCallum to discuss: • The transition from legislation to enforcement for the EU AI Act • Critical lessons from the GDPR and why enforcement has become a "political currency" • The dangers of the "National Security" exemption and its role in the proliferation of spyware • Challenges of Agentic AI and why the principle of human review must remain technology-neutral