Gunderson Dettmer Employment and Labor partner Natalie Pierce and Strategic Transactions and Licensing partner Aaron Rubin hosted the webinar, “Bias and Hallucinations in AI Policy Development, Training and Risk Mitigation” to explore the challenges posed by bias and hallucinations in generative AI.

Together they discussed the present key legal insights, case studies and practical applications to help companies overcome one of generative AI’s most notable imperfections.

Key Takeaways include

1. An overview of bias and hallucinations in AI models and how companies can minimize their liability as they incorporate AI tools into their businesses
2. How to increase workforce awareness of the risks associated with AI bias and hallucinations
3. The emerging legal and regulatory landscape
4. Prompt engineering techniques and best practices

View the slides here.

MCLE FORM

Watch a recap of Gunderson Dettmer’s Generative AI Series

Coding with Generative AI: Latest Developments and Practical Risk Management
Generative AI: Navigating Privacy and Security Concerns in the U.S., E.U. and U.K.
Patenting AI: What does it mean, should we do it, and what does success look like?
Generative AI: Latest Developments, Legal Risks and Best Practices
Coding with Generative AI: Open Source Compliance and Practical Risk Management