Law, disrupted cover image

Law, disrupted

Emerging AI Legal Issues with Pat Curran

Sep 26, 2024
Patrick D. Curran, a partner at Quinn Emanuel specializing in AI legal issues, discusses critical topics surrounding artificial intelligence in this engaging conversation. He highlights the inadequacies of patent law in protecting AI innovations, especially around algorithms and prior art. Curran reveals how companies are increasingly leaning on trade secrets for protection, despite enforcement challenges. The conversation touches on AI's role in invention and the intricate legal battles over copyright and data scraping in rapidly evolving tech landscapes.
43:49

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The inadequacy of patent law in protecting AI innovations has led companies to increasingly rely on trade secret protections despite significant enforcement challenges.
  • Ongoing litigation surrounding the use of copyrighted materials for training AI models highlights the complexities of copyright law in the context of technological advancements.

Deep dives

Challenges of Patent Protection for AI Inventions

The current legal landscape presents significant challenges for protecting inventions arising from artificial intelligence due to the nature of AI technology itself. In many jurisdictions, fundamental concepts and mathematical algorithms are not eligible for patent protection, leaving companies grappling with how to safeguard their innovative AI models. As these models are fundamentally advanced mathematical equations performing rapid computations, traditional patent protections prove inadequate, leading to a reliance on trade secret protections instead. This approach enables companies to keep their proprietary systems confidential rather than risk revealing their inner workings through public patent disclosures.

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