Perspectives

Original insights on where the field is—and where it should be.

Perspectives

Text-to-CAD: Risks and Opportunities

Reggie Raye
Explainability

Interpretability Creationism

Naomi Saphra
Trends

Why transformative artificial intelligence is really, really hard to achieve

Arjun Ramani and Zhengdong Wang
Deep Learning

Towards Geometric Deep Learning

Michael Bronstein
Art

Artists enable AI art - shouldn't they be compensated?

Devansh Lnu
Policy

Artificial Intelligence and the Future of Demos

Salla Westerstrand
Ethics

Lessons from the GPT-4Chan Controversy

Andrey Kurenkov
Perspectives

Working on the Weekends - an Academic Necessity?

Claas Voelcker
NLP

New Technology, Old Problems: The Missing Voices in Natural Language Processing

Ben Batorsky
Explainability

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

Derek Metcalf
Vision

Engaging with Disengagement

Rishabh Anand