ML Platform Podcast Embracing Responsible AI for ML Models in Production with Amber Roberts
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Sep 14, 2022 Amber Roberts, an AI expert, discusses responsible AI, including the importance of fairness, transparency, and accountability. She explores post-deployment monitoring, model explainability, and governance in ML models. The podcast also covers combating bias, choosing fairness metrics, and upcoming episodes on Auto ML and MLOps.
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Transcript
Episode notes
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Introduction
00:00 • 2min
Transitioning to AI and ML, Role at Arise AI, and Definition of Responsible AI
02:13 • 3min
Exploring the Relationship between Post-deployments Monitoring and Model Explainability for Responsible AI Models
05:04 • 2min
Fairness, Explainability, and Model Governance in ML Models
07:08 • 21min
Combating bias in ML models
27:41 • 2min
Helping customers decide on fairness metrics
29:36 • 20min
Following AI Responsibility and Upcoming Episode on Auto ML and MLOps
49:27 • 2min