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Artificial Intelligence and the Future of Demos
From ACM Opinion

Artificial Intelligence and the Future of Demos

One way to examine the relationship between AI and democracy is to turn the attention toward the very basic unit common to all forms of democracy: the people.

Open-Endedness and Evolution through Large Models
From ACM Opinion

Open-Endedness and Evolution through Large Models

A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs.

Linguistics and the Development of NLP
From ACM Opinion

Linguistics and the Development of NLP

An interview with Christopher Manning, director of the Stanford University AI Lab and an associate director of Stanford's Human-Centered Artificial Intelligence...

Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

A conversation with Been Kim, staff research scientist at Google Brain.

AI Education and Research
From ACM Opinion

AI Education and Research

An interview with Grid.ai's Sebastian Raschka.

AI Is Ushering In a New Scientific Revolution
From ACM Opinion

AI Is Ushering In a New Scientific Revolution

AI is transforming the scientific process, automating and adding to what people can accomplish using it.

Teaching Robots to Help People in Their Everyday Lives
From ACM Opinion

Teaching Robots to Help People in Their Everyday Lives

An interview with Max Braun of Everyday Robots.

Lessons From Deploying Deep Learning to Production
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.

The Missing Voices in Natural Language Processing
From ACM Opinion

The Missing Voices in Natural Language Processing

Who and what is being represented in the data and development of NLP models?

The Future of AI in Games
From ACM Opinion

The Future of AI in Games

Making artificial intelligence a tool of freedom and creativity for everyone.

Connecting Large Language Models to Human Values
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

Machine-Learning Robustness, Foundation Models, and Reproducibility
From ACM Opinion

Machine-Learning Robustness, Foundation Models, and Reproducibility

An interview with Percy Liang, associate professor of Computer Science at Stanford University

Robot Learning at Google and Generalization via Language
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

Human-Centered Explainable AI and Social Transparency
From ACM Opinion

Human-Centered Explainable AI and Social Transparency

An interview with doctoral candidate Upol Ehsan, who researched human-centered explainable AI

China's AI Dream and the AI 'Arms Race'
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

Self-Supervised Learning and Large Language Models
From ACM Opinion

Self-Supervised Learning and Large Language Models

Stanford PhD student discusses recent research on understanding, building, and controlling pre-trained models

RL Benchmarking, Climate Impacts of AI, and AI for Law
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

Strong AI Requires Autonomous Building of Composable Models
From ACM Opinion

Strong AI Requires Autonomous Building of Composable Models

Models built by AI must encode the fundamental patterns of experience

Meta Learning and Model-Based Reinforcement Learning
From ACM Opinion

Meta Learning and Model-Based Reinforcement Learning

Stanford professor Chelsea Finn talks about robotics and meta learning research

Yann LeCun Talks Research Beginnings and Recent Developments
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
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