Member - FREE
Student - FREE
CLE Credit Hrs.
Original Seminar Course Length: 2.0 (General)
About the Program
Principally due to the success of various machine learning techniques, AI is no longer a technology of the future. Industrial actors increasingly adopt AI-based applications to improve their business operations or bring innovative products to market. And consumers routinely engage with AI that power speech recognition systems, social media feeds, mortgage apps, and myriad others. Hundreds of billions of dollars have been invested in AI development this decade alone, and global business value derived from AI is reported to have exceeded $1 trillion in 2018 and is forecast to reach almost $4 trillion in 2022. While the economic value of AI technology is unquestionable, it poses unique challenges with respect to intellectual property, managing and protecting data, and regulatory oversight.
This program will provide practitioners with practical guidance for identifying and managing legal risks and opportunities relating to AI systems by focusing on intellectual property, data privacy and security, and current and future regulatory environments. In addition, specific attention will be given to issues affecting digital health and insurance technologies.
CBA members must log in to the CBA website to access the self-study complimentary on-demand resources. These products are audio/video recordings and course materials from live CLE seminars that are three or more years old.
Non-members should call (844)469-2221 to learn how to become a member to gain access to these free member resources.
Complimentary On-demand Product Disclaimer:
Information contained in this audio/video complimentary on-demand product may be outdated and may not meet the criteria for CLE credit. Accordingly, the CBA is not automatically certifying any Connecticut or New York CLE credits for this complimentary on-demand product. CBA members who view/listen to this complimentary on-demand product may claim Connecticut CLE credit on their own as self-study if they determine that the information provided by the on-demand product is timely and relevant and otherwise meets the criteria in CT MCLE rule 2-27A.You Will Learn
About legal and business considerations in protecting intellectual property, including patents and trade secrets, in AI or machine learning (ML) systems, and managing exposures to other’s intellectual property
About the content laws and regulations affecting the access to and use of data for training AI or ML systems and data output for such systems
About current regulatory requirements and future considerations relating to the use of AI and ML systems, including in the areas of digital health and insurance technologies
Speakers
Financial hardship information is available upon request.
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