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The Azure Security Podcast
Episode 90: AI Red Teaming
Jan 29, 2024
The podcast covers a range of interesting topics, including AI Red Teaming and the concept of 'jail-breaking' large language models. They discuss the interplay between language and AI models, as well as the importance of red teaming and mitigating risks in AI. Updates on security for Azure SQL and SQL Server are also provided.
38:54
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Quick takeaways
- AI Red Teaming now covers a broader scope, including security, responsible AI, bias, and harmful content, and the team works closely with stakeholders throughout the process and assumes both malicious and benign personas.
- Inadequate controls or irresponsible usage of AI technology can lead to potential harm, therefore conscious application of AI, addressing biases, and leveraging a diverse team are key considerations to mitigate risks.
Deep dives
Evolution of AI Red Teaming
AI Red Teaming has evolved over the years, starting in 2018 at Microsoft. Initially, engagements were three to four months long and focused on new models. However, with the rise of large language models (LLMs), the team has grown and shifted towards pre-ship testing in two to three weeks. AI Red Teaming now covers a broader scope, including security, responsible AI, bias, and harmful content. The team works closely with stakeholders throughout the process and assumes both malicious and benign personas.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode