Generative AI Risks
In this episode of Data Brew by Databricks, Robust Intelligence CEO & Co-Founder Yaron Singer discusses generative AI, the trends towards embracing LLMs, and how the surface area for vulnerabilities in generative AI is much larger.
This episode addresses the security, ethical, and operational risks that come with AI adoption. Yaron emphasizes the importance of testing and validating models, noting that successful organizations adopt AI risk management frameworks to enforce a standard policies for models that mitigate risk.
This episode also explores the transformative impact of generative AI and LLMs on the way people work, as well as the need for internal training and adoption of AI tools and the importance of process and procedures within data science teams.
A lot of work needs to go into the security aspect, I think that's top of mind for a lot of organizations. Especially with a lot of the news these days. Especially when people are using free tiers of products, putting in their company's corporate data into it, some data leakage happening.
The first and foremost is developing a concrete AI risk mitigation policy, and then it's internal training and adopting products that can help in those efforts.
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