The vital role of red teaming in safeguarding AI systems and data [Video]

AI red teaming offers an innovative, proactive method for strengthening AI while mitigating potential risks, helping organizations avoid costly AI incidents. Here’s how it works.

Companies are feeling pressure to adopt generative AI to stay ahead in a competitive global market. To ensure they adopt responsibly, governing and regulatory bodies across the world are convening to debate and understand the best ways to address AI risk without stifling their innovation edge. An existing debate surrounds the extent to which governments can and should manage risk through regulation, but regulation requires a deep understanding of what is being regulated.

At this point, we don’t know what we don’t know about AI — which complicates how we engage organizations about the ways to prevent model abuse and security risks. However, there are some methods that are proven to help. Responsible AI adoption begins with a methodology that emphasizes flexibility and continuous improvement, so organizations have a repeatable, consistent process in how they find and …