Explainability

Reading the Tea Leaves: Expert End-Users Explaining the Unexplainable

Derek Metcalf
Machine Learning

Bootstrapping Labels via ___ Supervision & Human-In-The-Loop

Eugene Yan
Speech Recognition

One Voice Detector to Rule Them All

Alexander Veysov Dimitrii Voronin
Deep Learning

How Aristotle is Fixing Deep Learning's Flaws

Paul J. Blazek
Overviews

How AI is Changing Chemical Discovery

Renée Gil
Vision

Engaging with Disengagement

Rishabh Anand
Perspectives

A Science Journalist’s Journey to Understand AI

Kathryn Hulick
Impacts

AI and the Future of Work: What We Know Today

Steven M Miller and Tom Davenport
Speech Recognition

New Datasets to Democratize Speech Recognition Technology

Juan Felipe Cerón Mark Mazumder Daniel Galvez
Reinforcement Learning

How to Train your Decision-Making AIs

Ruohan Zhang Dhruva Bansal
Interpretability

Upol Ehsan on Human-Centered Explainable AI and Social Transparency

Upol Ehsan Andrey Kurenkov