Open-Source AI in the GenAI Era: Legal Risks, Compliance, & Commercial Use

The panelists will cover the latest model breakthroughs, compare open-source vs. proprietary strategies, and unpack the legal, IP, and compliance risks of using genAI in commercial products. The discussion will also address the growing use of genAI for software code generation, highlighting the accuracy, licensing, and clearance challenges organizations must manage to ensure secure and compliant deployment. Don’t miss this opportunity to learn how to innovate responsibly while navigating today’s complex regulatory and security landscapes.

Discussion Highlights

Open-Source vs. Proprietary

Transparency, cost, and innovation benefits weighed against legal, IP, and security risks.
Legal & Regulatory Landscape

Copyright and training data disputes (Bartz v. Anthropic and Kadrey v. Meta Platform)
EU AI Act obligations and open-source exemptions
U.S. national security and compliance concerns
Risk & Security Issues

Supply chain and backdoor threats
Adversarial vulnerabilities and misuse (deepfakes, propaganda, cyberattacks)
Due diligence, governance and licensing safeguards
GenAI in Software Development

Ownership / protectability of genAI outputs
Risks of inaccurate or insecure AI-generated code
Clearance and IP due diligence requirements
Best practices for compliance in commercial products
Why Attend

Learn about cutting-edge open-source genAI developments
Understand the key legal and regulatory risks
Gain practical compliance strategies for commercial deployment
Engage with panelists on the most pressing news and legal issues in AI.