SOBRE ESTE EPISÓDIO
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.
Inglês
Estados Unidos da América
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OUTROS EPISÓDIOS NESTE PODCAST
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…
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 conversatio…
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 pro…
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 dat…
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EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
