Articles

  • 1 month ago | reuters.com | Ken Kumayama |Pramode Chiruvolu |Daniel Weiss

    Ken D. Kumayama, Pramode Chiruvolu and Daniel Weiss of Skadden, Arps, Slate, Meagher & Flom LLP discuss the use of AI agents, which are designed to process information, make decisions and take actions without direct, constant human input, and some of the related risks.

  • Jan 15, 2025 | jdsupra.com | Ken Kumayama |Stuart D. Levi |William Ridgway

    Key Points President-elect Trump appointed David Sacks, a venture capitalist, as the White House AI and crypto czar. The Trump administration is likely to adopt a light regulatory approach to AI development and deployment, and may repeal some or all of President Biden’s executive order on AI, as was promised in the Republican Party platform.

  • Nov 11, 2024 | reuters.com | Ken Kumayama |Pramode Chiruvolu

    AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken June 23, 2023. REUTERS/Dado Ruvic/File Photo Purchase Licensing Rights, opens new tabCompaniesSkadden Arps Slate Meagher & Flom LLPNovember 11, 2024 - Generative AI (GenAI) models — which produce new content based on training data — have recently become increasingly important to the advancement of commercial technologies.

  • Nov 11, 2024 | today.westlaw.com | Ken Kumayama |Pramode Chiruvolu

    (November 11, 2024) - Ken D. Kumayama and Pramode Chiruvolu of Skadden, Arps, Slate, Meagher & Flom LLP discuss intellectual property protections relating to GenAI, including recent trends and developments suggesting that patents may be critical to protecting GenAI innovations. Generative AI (GenAI) models — which produce new content based on training data — have recently become increasingly important to the advancement of commercial technologies.

  • Sep 25, 2024 | lexology.com | Ken Kumayama |Stuart D. Levi |William Ridgway |David Simon |Nicola Kerr-Shaw |Susanne Werry | +1 more

    Key PointsAs AI systems become more complex, companies are increasingly exposed to reputational, financial and legal risks from developing and deploying AI systems that do not function as intended or that yield problematic outcomes. The risks of AI, and the legal and regulatory obligations, differ across industries, and depend on whether the company is the developer of an AI system or an entity that deploys it.

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