Maggie Welsh sits down with Michelle Molner to unpack how artificial intelligence is reshaping data privacy, cybersecurity risk, and regulatory enforcement. The conversation explores the growing tension between AI’s demand for large data sets and long‑standing privacy principles like data minimization, consent, and purpose limitation.

Maggie Welsh and Parker Hancock break down what to watch for in 2026 with respect to AI and the law. Parker provides insights on how new AI behaviors collide with long‑standing laws, why accountability falls on companies, and what in‑house teams must prioritize as AI agents start touching core systems.

Maggie Welsh and Julie Albert expose “AI washing”—overstated or misleading AI marketing—and how the FTC, SEC, and NAD are ramping up enforcement. Drawing lessons from greenwashing, they unpack real risks, common red flags, and what regulators expect. Julie shares a compliance-ready framework to make truthful, substantiated AI claims that build trust, showcase real capabilities, and avoid penalties or competitor challenges.

Maggie Welsh speaks with Nicole Spence, Brand Counsel for Generative AI Tools at IBM. They discuss data concerns, including the critical importance of data privacy, data quality, and bias mitigation. The discussion also highlights current and emerging legal frameworks around intellectual property rights.

Maggie Welsh has a conversation with Mike Silliman, discussing the synergistic relationship between AI and clean tech. He covers how AI drives both energy demand and solutions for climate change, and why AI innovation is slower in clean tech compared to other sectors. Mike also delves into challenges such as data interoperability, regulatory complexity, and venture funding.