The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691

Jul 1, 2024

Join Sarah Bird, Chief Product Officer of Responsible AI at Microsoft, as she dives into the essential realms of generative AI testing and safety. Explore the challenges of AI hallucinations and the importance of balancing fairness with security. Hear insights from Microsoft's past failures like Tay and Bing Chat, stressing the need for adaptive testing and human oversight. Sarah also discusses innovative methods like automated safety testing and red teaming, emphasizing a robust governance framework for evolving AI technologies.

57:12

Creator website

Episode guests

Sarah Bird

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Highlights

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Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Implement layered defense for generative AI safety.

Manage risks with techniques like red teaming.

Prioritize security alongside fairness in AI applications.

Deep dives

Emphasizing Defense in Depth for Secure Systems

Starting with a system designed with defense in depth, where technologies are layered to counter weaknesses, resembles stacking Swiss cheese to prevent holes. Sarah Bird discusses building responsible AI applications, focusing on principles like fairness, transparency, accountability, and safety. The shift to generative AI requires new tools and techniques for implementation.

Combining Automated Testing and Red Teaming

01:16

Building Systems with Defense in Depth

01:23

The Importance of Testing and Data Usage in Future Technological Advancements

01:57

Intro

3min

Exploring Risks and Challenges in Generative AI Development

5min

Balancing Fairness and Security in AI Development

2min

Learning from AI Failures

19min

Navigating User Intent and Robust AI Testing

5min

Navigating AI Testing and Governance

23min

Today, we're joined by Sarah Bird, chief product officer of responsible AI at Microsoft. We discuss the testing and evaluation techniques Microsoft applies to ensure safe deployment and use of generative AI, large language models, and image generation. In our conversation, we explore the unique risks and challenges presented by generative AI, the balance between fairness and security concerns, the application of adaptive and layered defense strategies for rapid response to unforeseen AI behaviors, the importance of automated AI safety testing and evaluation alongside human judgment, and the implementation of red teaming and governance. Sarah also shares learnings from Microsoft's ‘Tay’ and ‘Bing Chat’ incidents along with her thoughts on the rapidly evolving GenAI landscape.

The complete show notes for this episode can be found at https://twimlai.com/go/691.

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Emphasizing Defense in Depth for Secure Systems

Identifying and Managing Risks for Generative AI

Balancing Fairness and Security Concerns

Learning from Public AI Failure Cases

Utilizing Testing Frameworks for AI Risk Management

Combining Automated Testing and Red Teaming

Building Systems with Defense in Depth

The Importance of Testing and Data Usage in Future Technological Advancements

Remember Everything You Learn from Podcasts