AI and Data Privacy: Adapting Policies, Ensuring Responsible Use of Data, Mitigating Risks

Course Details
- smart_display Format
On-Demand
- signal_cellular_alt Difficulty Level
Intermediate
- work Practice Area
Cybersecurity and Data Privacy
- event Date
Wednesday, April 9, 2025
- schedule Time
1:00 p.m. ET./10:00 a.m. PT
- timer Program Length
90 minutes
-
This 90-minute webinar is eligible in most states for 1.5 CLE credits.
This CLE webinar will explore the implications of artificial intelligence (AI) on data privacy. The panel will discuss the privacy risks associated with the use of AI, the regulatory landscape governing AI and privacy, the need for companies to build and balance their AI governance with data privacy laws and practices, and best practices for mitigating privacy risks with the deployment of AI tools.
Faculty

Ms. Jacobson is a partner in the Data Privacy, Cybersecurity & Digital Assets Practice. She offers practical and tactical counsel on privacy and cybersecurity compliance strategies, data breach response, technology transactions and marketing initiatives for national and multinational organizations. Ms. Jacobson assists clients with the design and development of privacy-sensitive policies for the collection and use of personal data. She regularly advises businesses on the privacy and cybersecurity aspects of environmental, social and governance (ESG) programs, ethical data use, machine learning and artificial intelligence, vendor contracting and management and business sales, combinations and acquisitions.

Mr. Friel is a thought leader in digital media, IP, data privacy and protection, and consumer protection law, with over three decades of relevant experience to address the intersection of law and technology. Having served as a GC for several years in the late 1990s before returning to private practice, Mr. Friel has the necessary expertise to advise clients on making practical and informed business decisions, and help companies and entrepreneurs navigate the complex opportunities created by disruptive technology. With his in-house and private practice experience, he assists clients with creating data inventories, and information governance and data privacy and security programs; developing and implementing policies and procedures for providing consumer data privacy transparency, choice and access; drafting and negotiating privacy and data security provisions for commercial contracts; evaluating privacy impact assessments; addressing data privacy and security issues in merger and acquisitions transactions; structuring personal data transfer arrangements (including cross-border, intracompany, sales and licenses, and disclosures that are exempt from, and/or comply with, certain legal restrictions); drafting and revising external and internal privacy and data security policies and procedures; and addressing complex intellectual property and consumer protection issues related to digital media, advertising and commerce, such as in connection with the development and deployment of artificial intelligence, tailored and targeted advertising practices, and digital transformation and data commercialization strategies. Mr. Friel is a sought-after speaker and is affiliated with UCLA as an assistant professor in a multidisciplinary project at the Graduate School of TV, Film and Digital Media, and is an adjunct professor at Loyola Marymount School of Law.

Ms. Ricci is currently Senior Associate General Counsel at Boeing Employee Credit Union (BECU), where she is responsible for providing advice on technology contracts, privacy operations, and secondary market transactions. BECU is currently the country’s fifth-largest credit union, with nearly 1.4 million members and $29 billion in assets. Ms. Ricci was the chief legal officer at two prior tech companies and one financial services company and has held legal, risk and business roles at large financial institutions. The opinions expressed in this CLE presentation are the author’s own and do not reflect the view of BECU.
Description
AI innovations continue to evolve and reshape the way we live and work. AI tools become more sophisticated by leveraging vast amounts of potentially sensitive data, which has raised critical concerns and regulatory scrutiny about personal data and privacy. These concerns have created compliance challenges for businesses developing and/or using AI technologies.
The current patchwork of state, federal, and international privacy laws somewhat address the privacy concerns presented with AI and legislation targeting AI has emerged, including the European Union's AI Act and several U.S. states proposing new AI laws. However, the regulatory framework is failing to keep pace with the constantly changing innovations and advancements with AI.
As more businesses deploy various forms of AI, it is important for them to build and balance their AI governance programs with their privacy policies to ensure compliance with the evolving legal landscape. As new legal developments governing the privacy dimensions of AI continue to unfold, it is imperative for privacy counsel to stay on top of new laws, regulations, cases, and regulatory guidance materials.
Listen as our expert panel discusses the implications of AI on privacy and provides guidance for helping clients navigate the issues and compliance risks when developing, providing, or deploying AI tools in their businesses.
Outline
- Overview: balancing AI innovation with data privacy protections
- Understanding the privacy risks of AI
- Regulatory landscape for AI and privacy
- Privacy implications for companies that deploy AI tools
- Adapting privacy policies to account for evolving AI technologies
- Ensuring responsible use of data and mitigating privacy risks associated with AI
- How AI can be used to enhance privacy compliance and protect data from unauthorized access
- AI privacy best practices
- Practitioner pointers for advising clients in this evolving area
Benefits
The panel will address these and other key considerations:
- What are the privacy risks of AI?
- What is the evolving AI regulatory landscape and how does it intersect with existing privacy laws?
- How can companies effectively build and combine their privacy and AI governance programs and policies?
- What are some best practices for organizations when deploying AI tools to ensure compliance with the current regulatory framework?
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