SXSW 2025
Beyond the Hype: Building Reliable and Trustworthy AI
Description:
Despite LLMs being increasingly integrated into enterprise workflows and consumers’ everyday lives, their performance and safety standards remain opaque. As more businesses adopt AI tools, standardized evaluation frameworks become more important than ever to ensure LLMs are producing reliable results. Hear from Scale AI’s Summer Yue, HeyGen’s Lavanya Poreddy and Fortune’s Sharon Goldman on pioneering safety standards for AI that reduce hallucinations and deepfakes, including the importance of rigorous model testing and using high-quality data.
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Takeaways
- Understand the critical role of model testing in ensuring AI performance and safety
- Discover the importance of high-quality, private evaluation datasets to assess models and ensure reliable performance.
- Explore AI trust & safety discussions, including deepfake proliferation and the development of industry-standard practices for secure AI deployment
Speakers
- Lavanya Poreddy, Head of Trust & Safety, HeyGen
- Summer Yue, Director of Safety and Standards, Scale AI
- Sharon Goldman, AI Reporter, Fortune
Organizer
Lily Roshan, Pr, The Hatch Agency
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