AI Counsel Code

Lessons for Truthful AI Advertising

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.

Data in AI Development with Nicole Spence

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.

Accelerating AI in Renewable Tech

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.

AI Legal Challenges in Fair Use and Model Training

Maggie Welsh and Joe Cahill discuss the latest report from the Copyright Office on fair use in AI model training. The report delves into the use of copyrighted works during AI development and considerations around copyright infringement and fair use. Key topics include data collection, training processes, and the complexities of licensing in AI. The nuanced legal landscape requires careful analysis of specific cases, emphasizing the importance of understanding both the technology and legal precedents.

Protecting Trade Secrets in the AI Era

Maggie Welsh and Julie Albert discuss the challenges of protecting trade secrets in AI. They cover the definition of trade secrets, methods for safeguarding valuable information, and the risks posed by unauthorized access and data scraping. Emphasizing the importance of understanding and securing AI tools, they provide insights on maintaining confidentiality in the evolving AI landscape.

Legal Challenges in AI Partnerships

Maggie Welsh and Steve Mann explore the legal challenges in AI partnerships. They discuss best practices for engaging with AI vendors, focusing on data protection, ownership of AI-generated outputs, and the importance of clear, enforceable contracts. They emphasize proactive measures to protect data and intellectual property in the evolving AI landscape.

Understanding AI Legal Structures within a Tech Giant

Mark Speegle hosts a discussion with Jesse Adland, Director in the Law Department at AMD. They explore AI legal challenges, the role of AMD's AI group, industry trends, and the dynamic nature of AI's legal landscape. Jesse shares insights on managing AI projects, intellectual property concerns, and the rapidly evolving regulatory framework.

AI Outlook for 2025

Maggie Welsh welcomes Parker Hancock to explore AI advancements and upcoming regulatory shifts for 2025. They delve into key technologies like DeepSeek models and test time compute, while unpacking crucial updates on AI regulations, including the EU AI Act and state-level U.S. laws. The conversation also covers how companies can navigate AI risks, with a particular focus on copyright and application-specific compliance.