Hot Topics in Artificial Intelligence CLE
Hot Topics in Artificial Intelligence and the Law



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Course Description

This program was recorded on December 8, 2020

Artificial intelligence (AI) is a “game changing” technology, which is starting to influence every sector of the economy and to transform the world. Clients face unprecedented legal challenges from the development, sale, purchase, and operation of AI systems. At the same time, AI law is fast-moving as the legal system scrambles to catch up with developments in the technology. This program will cover the hot topics of AI law in 2020, ranging from new cases, new legislation and regulatory initiatives, to important transactions. The lessons learned will guide lawyers in understanding the implications of AI technology and how to mitigate their clients’ legal risks.

Attorney Stephen WuStephen Wu
Stephen S. Wu is a shareholder with Silicon Valley Law Group in San Jose, California. He advises clients on transactions, compliance, liability, security, and privacy matters regarding the latest technologies in areas such as artificial intelligence, robotics, automated transportation, the Internet of Things, and Big Data. He helps clients with domestic and international privacy and security matters in negotiating agreements, incident response, breach notification, litigation, and managing privacy and security policies and programs, certifications, and audits. He counsels clients concerning cyber-risk insurance policies and coverage and risk management strategies. In addition, he advises clients on secure electronic commerce using digital signatures, other secure electronic signatures, electronic credentials such as digital certificates, encryption, and public key infrastructure.

Contact Stephen Wu

1 General Credit

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  1. 2020 artificial intelligence case law update in areas such as biometric data collection, facial recognition, and Constitutional issues of unlocking mobile phones.
  2. New AI-related legislation, particularly in the areas of facial recognition limits and automated decision-making.
  3. Recent regulatory actions from regulators starting to address AI
  4. Key transactions that relate to data used for training AI models