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

Key Trends Defining ...

Class action litigation continues to evolve rapidly in response to an innovative plaintiffs’ b...

Not for the Faint of...

Section 337 provides powerful, efficient and rapid remedies for a wide range of unfair methods of co...

Evidence in Action: ...

Objections are among the most powerful — and most misunderstood — tools in a trial lawye...

Culture Repair™: W...

When the investigation concludes, the discipline is issued, and the file is closed, most organizatio...

Discovery: Practical...

This program provides a practical roadmap to mastering every stage of the discovery process in civil...

Federal Contractor R...

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

AI Agents Unleashed:...

AI agents — autonomous systems capable of planning, deciding, and acting independently across ...

Open Source AI: The ...

Open-source AI models have gone from niche developer tools to enterprise essentials almost overnight...

Digital Organization...

Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...

Trade Secret Litigat...

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