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

Patent Eligibility f...

This program examines critical 2025-2026 developments in patent eligibility for software and AI inve...

Evolving Ethically: ...

This course provides a roadmap for ethical AI integration in high-volume practices through real-worl...

Litigation Series: M...

This companion program to Part 1 goes deeper into the rhetorical power of Shakespeare, emphasizing h...

Boundaries and Burno...

Boundaries and Burnout: The Hidden Crisis in Law is a 60-minute California MCLE Competence Credit pr...

Litigation Series: C...

This program provides a comprehensive analysis of the Sixth Amendment Confrontation Clause as reshap...

Resilience in the Wo...

Resilience in the Workplace, delves into the critical importance of resilience in navigating the cha...

Demand to Deal: Stra...

Successful personal injury defense practice requires far more than strong legal arguments—it d...

Key 2025 Development...

United States patent law and the United States Patent and Trademark Office’s patent-related gu...

Vibecoding for Lawye...

This program provides attorneys with a practical and ethical framework for understanding and respons...

Labor Law Compliance...

Contracting with the Federal Government is not like a business deal between two companies or a contr...