Evolution of Data Controls in the Era of Generative AI

Privacy leaders have a new responsibility with the rapid rise of Generative AI technologies, like ChaptGPT, Bard etc. Executives are aggressively exploring new Gen AI models to enhance their business; however, the use of enterprise data in large language models (LLMs) creates new data control requirements to ensure that the benefits of these outweigh the risks.   Without careful consideration of the data feeding these models, organizations may be inadvertently exposing themselves to increased liability and risk.

Join guest speaker, Enza Iannopollo, with Forrester Research and Rehan Jalil, CEO of Securiti, as they explore how privacy professionals are navigating governance around these emerging technologies, and how a framework of unified data controls across silos can help. They will explore:

• What risks leaders need to be aware of in the new Generative AI era
• Policies and controls needed to govern sensitive data used in LLMs
• How differential privacy, synthetic data and other techniques can mitigate risk
• How to collaborate across organizational silos to implement effective policies