Privacy Challenges Associated With Generative AI
The AI Across Industries series continues into 2024 with a look at how privacy and security intersect with the growing use of generative AI (GAI) tools.
Nancy Libin and David Rice, partners in our Privacy and Security practice, will examine the privacy issues associated with the development and deployment of generative AI (including transparency; secondary use of data; data storage, security, sharing; and bias in data outputs), and discuss applicable legal obligations and best practices. They'll also cover how existing and emerging state, federal, and international laws impact generative AI technology, and discuss the industries that will be most impacted.
Presenters
This webinar is the seventh in DWT's webinar series "AI Across Industries," a monthly webinar examining legal risks, challenges, and opportunities presented by the adoption of AI/ML in healthcare, financial services, media, technology, communications, and other leading industries.
PENDING CLE Credits: AK- 1.0 General credit; CA- 1.0 General credit; IL- 1.0 General Credit; NY- 1.0 Prof Prac; OR- 1.0; General Credit; VA- 1.0 General Credit; WA- 1.0 Law and Legal Procedure Credit. All credits and credit types are pending and not guaranteed. This program is appropriate for both newly admitted and experienced New York Attorneys.
DWT seeks CLE accreditation in AK, CA, IL, NY, OR, VA and WA. Upon request, if you are admitted to practice law in another state, we will provide a certificate of attendance and documentation to assist you in applying for CLE credit in your state of admission. Please email CLEreporting@dwt.com with questions.
This session will be recorded. Please review our privacy policy here. By accepting this invitation and participating in the webinar, you agree and understand that it will be recorded.
Contact McKenzie Conte with questions.
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