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Five Questions for Brenda Darden Wilkerson
From ACM Opinion

Five Questions for Brenda Darden Wilkerson

Former AnitaB.org president/CEO discusses AI, diversity in tech, and much more.

AI Expert Weighs In on the Rise of Chatbots
From ACM Opinion

AI Expert Weighs In on the Rise of Chatbots

Products like ChatGPT will never be truly ready to go unless we have a working AI technology that supports continuous life-long learning.

How ChatGPT Could Revolutionize Education
From ACM Opinion

How ChatGPT Could Revolutionize Education

Could an AI chatbot change learning forever?

At the Boundary of Machine and Mind
From ACM Opinion

At the Boundary of Machine and Mind

An interview with researcher Linus Lee.

Dense Visual Representations, NeRFs, and LLMs for Robotics
From ACM Opinion

Dense Visual Representations, NeRFs, and LLMs for Robotics

Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models....

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.

Designing to Avoid Worst-Case Outcomes
From ACM Opinion

Designing to Avoid Worst-Case Outcomes

Interaction designer Jonathan Shariat discusses harmful software design.

The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity
From ACM Opinion

The Pope's AI Adviser on Ensuring Algorithms Respect Human Dignity

Franciscan monk Paolo Benanti is the brains behind the Rome Call, a pact aimed at making sure AI is developed with ethics in mind.

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...

The AI Researcher Giving Her Field Its Bitter Medicine
From ACM Opinion

The AI Researcher Giving Her Field Its Bitter Medicine

Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.

'The New Generation of Computer Scientist Wants to Benefit Society'
From ACM Opinion

'The New Generation of Computer Scientist Wants to Benefit Society'

Professor Jim Kurose discusses the type of science computing researchers are focusing on and the future of the field.

Interpretable Machine Learning
From ACM Opinion

Interpretable Machine Learning

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

The Computer Scientist Challenging AI to Learn Better
From ACM Opinion

The Computer Scientist Challenging AI to Learn Better

Christopher Kanan is building algorithms that can continuously learn over time—the way people do.

How to Solve AI's 'Common-Sense' Problem
From ACM Opinion

How to Solve AI's 'Common-Sense' Problem

AI systems without common sense will make mistakes when they reach the limits of where they've been trained.

An Interview with Dana Scott
From Communications of the ACM

An Interview with Dana Scott

ACM Fellow and A.M. Turing Award recipient Dana Scott reflects on his career.

Matthew Ball on the Metaverse
From ACM Opinion

Matthew Ball on the Metaverse

Leading metaverse theorist shares his thoughts on the sudden rise of the concept, its utility for the enterprise, and what we still get wrong.

Can Computers Be Mathematicians?
From ACM Opinion

Can Computers Be Mathematicians?

Artificial intelligence has bested humans at problem-solving challenges like chess and Go. Is mathematics research next?

'Video Games Are for Boys'
From ACM Opinion

'Video Games Are for Boys'

Hopscotch app co-founder Samantha John discusses her journey from avoiding video games to helping kids create them.

The Computer Scientist Who Parlays Failures into Breakthroughs
From ACM Opinion

The Computer Scientist Who Parlays Failures into Breakthroughs

An interview with Yale University Sterling Professor of Computer Science Daniel Spielman.

Intro to Model-Free and Model-Based Reinforcement Learning
From ACM Opinion

Intro to Model-Free and Model-Based Reinforcement Learning

Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.
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