Host Bradford Newman is joined by Adam Aft and Danielle Benecke to review what AI regulation may look like under the new Biden administration.   We cover:

  • The status of AI regulation in the US, including recent legislative and policy initiatives;
  • Initial signals from the Biden administration on what direction they might take when it comes to near-term AI law and policy;
  • Key developments clients should be looking out for in 2021, both in the US and more broadly

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Other Eye on AI episodes:

Eye on AI Episode 1: Three AI Must-Knows for Technology Transactions


Bradford Newman is a litigation partner resident in Baker McKenzie's Palo Alto Office and Chair of the North America Trade Secrets Practice. According to Chambers USA, Brad is a "recognized authority on trade secrets cases" who "is valued for his tenacious, intelligent and thoughtful approach to trade secrets matters." Bradford regularly serves as lead trial counsel in cases with potential eight and nine-figure liability, and has successfully litigated (both prosecuting and defending) a broad spectrum of trade secrets cases in state and federal courts throughout the country. He routinely advises and represents the world's leading technology, banking, professional service, manufacturing and commerce companies in connection with their most significant data protection and trade secret matters.


Adam Aft helps global companies navigate the complex issues regarding intellectual property, data, and technology in product counseling, technology, and M&A transactions. He leads the Firm's North America Technology Transactions group and co-leads the group globally. Adam regularly advises a range of clients on transformational activities, including the intellectual property, data and data privacy, and technology aspects of mergers and acquisitions, new product and service initiatives, and new trends driving business such as platform development, data monetization, and artificial intelligence.


Danielle is the Founder and global head of Baker McKenzie's Machine Learning Practice, an industry-leading venture that combines the Firm's legal domain expertise with advanced data science and machine learning.