TWIML Model Explainability Forum

EPISODE 401
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About this Episode

Today we're bringing you the latest TWIML Discussion Series, The Model Explainability Forum.

The use of machine learning in business, government, and other settings that require users to understand the model's predictions has exploded in recent years. This growth, combined with the increased popularity of opaque ML models like deep learning, has led to the development of a thriving field of model explainability research and practice.

In this panel discussion, we bring together experts and researchers to explore the current state of explainability and some of the key emerging ideas shaping the field. Each guest will share their unique perspective and contributions to thinking about model explainability in a practical way. We explore concepts like stakeholder-driven explainability, adversarial attacks on explainability methods, counterfactual explanations, legal and policy implications, and more. We round out the session with an audience Q&A! Check out the list of resources below!

Connect with Alessya
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Connect with Kush R.
Connect with Rayid
Connect with Solon

Thanks to our sponsor IBM

The IBM Institute for Business Value (IBV) delivers trusted business insights from our position at the intersection of technology and business, combining expertise from industry thinkers, leading academics, and subject matter experts with global research and performance data. The IBV thought leadership portfolio includes research deep dives, benchmarking and performance comparisons, and data visualizations that support business decision making across regions, industries and technologies.
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