Date: Wednesday, May 18 (Main Conference Day 2)
Start Time: 4:50 pm
End Time: 5:20 pm
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. We will first motivate the need for adopting a “responsible AI by design” approach when developing AI/ML models and systems for different consumer and enterprise applications. We will then focus on the application of responsible AI and ModelOps techniques in practice through industry case studies. We will discuss the sociotechnical dimensions and practical challenges, and conclude with the key takeaways and open challenges.
