“Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned,” a Presentation from Fiddler AI

Krishnaram Kenthapadi, Chief Scientist at Fiddler AI, presents the “Responsible AI and ModelOps in Industry: Practical Challenges and Lessons Learned” tutorial at the May 2022 Embedded Vision Summit.

How do we develop machine learning models and systems taking fairness, explainability and privacy into account? How do we operationalize models in production, and address their governance, management and monitoring? Model validation, monitoring and governance are essential for building trust and adoption of computer-vision-based AI systems in high-stakes domains such as healthcare and autonomous driving.

In this presentation, Kenthapadi first motivates the need for adopting a “responsible AI by design” approach when developing AI/ML models and systems for different consumer and enterprise applications. He then focuses on the application of responsible AI and ModelOps techniques in practice through industry case studies. He discusses the sociotechnical dimensions and practical challenges, and concludes with the key takeaways and open challenges.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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