Communications of the ACM
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
From ACM Opinion
Lessons From Deploying Deep Learning to Production
Peter Gao, an early engineer at Cruise, reflects on his experience deploying deep-learning models into production.
From ACM Opinion
The Missing Voices in Natural Language Processing
Who and what is being represented in the data and development of NLP models?
From ACM Opinion
The Future of AI in Games
Making artificial intelligence a tool of freedom and creativity for everyone.
From ACM Opinion
Connecting Large Language Models to Human Values
AI researcher Connor Leahy talks about replicating GPT-2/GPT-3, superhuman AI, AI alignment, AI risk and research norms, and more
From ACM Opinion
Machine-Learning Robustness, Foundation Models, and Reproducibility
An interview with Percy Liang, associate professor of Computer Science at Stanford University
From ACM Opinion
Robot Learning at Google and Generalization via Language
Google Robotics research scientist Eric Jang talks about robotic manipulation and self-supervised robotic learning
From ACM Opinion
Human-Centered Explainable AI and Social Transparency
An interview with doctoral candidate Upol Ehsan, who researched human-centered explainable AI
From ACM Opinion
China's AI Dream and the AI 'Arms Race'
Stanford postdoctoral fellow discusses research exploring impact of AI in a possible U.S.-China power transition
From ACM Opinion
Self-Supervised Learning and Large Language Models
Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models
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