AI Labs and Pirated Data, BILLIONS in Liability and Deepfakes | Prof. Christa Laser Explains

In this episode of Dylan and Wes Interview, we dive deep into the legal minefield where AI training collides with copyright. Professor Christa Laser unpacks fair-use factors, trillion-dollar risks from pirated data, and why courts split on transformative purpose. Discover how New York Times v. OpenAI, Barks v. Anthropic, and Meta’s defenses could reset creative rights, and learn essential audit steps startups must finish before shipping. Finally, explore Congress’s possible fixes and realistic payout models so innovation and artists both thrive. We clarify synthetic datasets, dilution theories, and data-provenance strategy for legal survival.