Perspectives Overviews Language Ethics Policy Vision Reinforcement Learning Generative Models
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
Interpretability

Explain Yourself - A Primer on ML Interpretability & Explainability

Nirmal Sobha Kartha
Perspectives

Strong AI Requires Autonomous Building of Composable Models

Jonathan Mugan
Perspectives

Reflections on Foundation Models

Rishi Bommasani and Percy Liang
Ethics

The Imperative for Sustainable AI Systems

Abhishek Gupta