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
Machine Learning

Has AI found a new Foundation?

Gary Marcus Ernest Davis
Overviews

An Introduction to AI Story Generation

Mark Riedl
Machine Learning

Systems for Machine Learning

Kabir Nagrecha
Language

Machine Learning Won't Solve Natural Language Understanding

Walid S. Saba
NLP

Machine Translation Shifts Power

Amandalynne Paullada

It’s All Training Data: Using Lessons from Machine Learning to Retrain Your Mind

Yim Lucky Register (they/them)
Perspectives

Justitia ex Machina: The Case for Automating Morals

Rasmus Berg Palm and Pola Schwöbel