Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
From ACM Opinion
RL Benchmarking, Climate Impacts of AI, and AI for Law
Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society
From ACM Opinion
Strong AI Requires Autonomous Building of Composable Models
Models built by AI must encode the fundamental patterns of experience
From ACM Opinion
Meta Learning and Model-Based Reinforcement Learning
Stanford professor Chelsea Finn talks about robotics and meta learning research
From ACM Opinion
Yann LeCun Talks Research Beginnings and Recent Developments
Deep-learning pioneer discusses early days in image-processing and developments in self-supervised learning for computer vision
From ACM Opinion
Who's Building the Foundation Models of the Future?
Curation, auditing, and evaluation of so-called 'foundation models' should not be left to the tech industry.
From ACM Opinion
The Imperative for Sustainable AI Systems
The impact of AI's massive carbon footprint is social, not just environmental
From ACM Opinion
Machine Learning Won't Solve Natural Language Understanding
Data-driven approaches to NLU are psychologically, cognitively, and computationally implausible.12