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Artificial Creativity?
From ACM Opinion

Artificial Creativity?

Models such as DALL-E dissociate ideation from implementation, but do we care?

Data Breaches Involve the Same Stories Again and Again
From ACM Opinion

Data Breaches Involve the Same Stories Again and Again

Only when we learn from them can we make headway in stopping the cycle.

Why Universities Must Resist GPA-based Enrollment Caps in the Face of Surging Enrollments
From Communications of the ACM

Why Universities Must Resist GPA-based Enrollment Caps in the Face of Surging Enrollments

Considering the challenges for universities to adapt their business models to changing student demands.

Computational Thinking in the Era of Data Science
From Communications of the ACM

Computational Thinking in the Era of Data Science

Incorporating data thinking into computer science education.

The U.S. Has a Historic Opportunity to Bridge the Digital Divide
From ACM Opinion

The U.S. Has a Historic Opportunity to Bridge the Digital Divide

Past initiatives did not focus enough on people of color, but here is how to improve.

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.

AI Researchers Building Surveillance Tech and Deep Fakes Resist Ethical Concerns
From ACM Opinion

AI Researchers Building Surveillance Tech and Deep Fakes Resist Ethical Concerns

The computer vision research community is behind on AI ethics, but it is not just a research problem.

Tech Is Not Representative Government
From ACM Opinion

Tech Is Not Representative Government

And yet, we demand that it protect us.

Could AI Replace Therapists?
From ACM Opinion

Could AI Replace Therapists?

A non-sentient artificial intelligence may be able to offer effective psychotherapy.

Should Machines Replace Mathematicians?
From ACM Opinion

Should Machines Replace Mathematicians?

A "replication crisis" in mathematics raises questions about the purpose of knowledge.

The Latin of Software Code Is Thriving
From ACM Opinion

The Latin of Software Code Is Thriving

Next time you laugh at musty old tech, remember that new technologies are often built on it.

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?

Who Is Liable when AI Kills?
From ACM Opinion

Who Is Liable when AI Kills?

We need to change rules and institutions while still promoting innovation to protect people from faulty AI.

'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.

Quantifying Computing Power and Innovation
From ACM Opinion

Quantifying Computing Power and Innovation

Rapid increases in chip speed and power have fueled innovation in many industries, but the future trajectory of that progress may be in jeopardy.

Tech Cos. Silent on Data Privacy since Roe v. Wade Reversal
From ACM Opinion

Tech Cos. Silent on Data Privacy since Roe v. Wade Reversal

Tech companies must, at the very least, communicate policies and practices to consumers.

Yann LeCun's Bold New Vision for the Future of AI
From ACM Opinion

Yann LeCun's Bold New Vision for the Future of AI

One of deep learning's godfathers pulls together old ideas to sketch out a fresh path for AI.

Words Matter
From Communications of the ACM

Words Matter

Some jargon can be offensive to newcomers and unintentionally shape our thoughts.

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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