Art

The Past, Present, and Future of AI Art

Fabian Offert

Goodhart’s Law: Are Academic Metrics Being Gamed?

Michael Fire

When AI Plans Ahead

IBM Research
Conference

Stanford's Human-Centered AI Launch Symposium

Felix Wang, Steven Ban and Hugh Zhang

Call for Ideas - March 2019

The Editors
Reinforcement Learning

The Promise of Hierarchical Reinforcement Learning

Yannis Flet-Berliac
Ethics

OpenAI Shouldn’t Release Their Full Language Model

Eric Zelikman
Ethics

In Favor of Ethical Best Practices in AI Research

Shushman Choudhury, Michelle Lee, and Andrey Kurenkov
Policy

OpenAI: Please Open Source Your Language Model

Hugh Zhang
Vision

Limitations of Deep Learning for Vision, and How We Might Fix Them

Alan L. Yuille, Chenxi Liu
Generative Models

BigGanEx: A Dive into the Latent Space of BigGan

Zaid Alyafeai