Privacy Risks in Generative AI Deployments

20 Jun , 2024

To register for the upcoming live webinar, please Click Here

Generative AI (GenAI) applications are creating complex challenges as it relates to maintaining compliance with privacy law. This course defines GenAI, walks through the privacy challenges developers and end users face in light of it, and reviews how and why the NIST Privacy Framework and the AI Risk Management Framework are important for dealing with these challenges. The program wraps up with a review of practical risk assessment and mitigation strategies for both developers and end users.

To register for the upcoming live webinar, please Click Here

More Webcasts

Best Behavior: Effec...

This program will address the ethical obligations of Lawyer Advocates representing clients in arbitr...

Recognizing and Comb...

This one-hour CLE program examines the impact of implicit and systemic bias within the legal profess...

Freediving Through F...

Most legal professionals are operating in survival mode whether they realize it or not. Not crisis-l...

Trade Secret Litigat...

This course on trade secrets litigation provides real-world best practices through all key stages of...

Federal Contractor R...

During this course, you will learn about best practices and strategies for retaining intellectual pr...

Settled Expectation ...

This presentation serves as a critical follow-up to the June 12, 2026, session on PTAB Discretionary...

Artificial Intellige...

This course examines the latest legal and compliance developments in the artificial intelligence (AI...

Reflection on Separa...

Separation of Powers in United States and Israel from a Perspective of the Ongoing Debates in Both C...

Freedom of Informati...

During this course, we will go over your rights under the Freedom of Information Act (FOIA) and Priv...

Federal Contractor B...

As the largest purchaser of goods and services in the world, the United States Government requires f...