Sign In

Communications of the ACM

Recent Opinion



Professor Advocates Taking AI Research Back to Its Roots
From ACM Opinion

Professor Advocates Taking AI Research Back to Its Roots

To build a general artificial intelligence, we may need to know more about our own minds, argues computer scientist Melanie Mitchell.

AI Drives Crossword-Solving Program to Tournament Victory
From ACM Opinion

AI Drives Crossword-Solving Program to Tournament Victory

Plagued by unifinished crossword puzzles? Matt Ginsberg, a pro crossword writer and AI scientist, wrote a program that solves crosswords.

AI May Have a Lot to Learn From Children
From ACM Opinion

AI May Have a Lot to Learn From Children

Exploratory learning, the kind that is exhibited by children, might better inform AI development than the habitual learning processes employed by adults, according...

Vivienne Sze: Crossing the Hardware-Software Divide for Efficient AI
From ACM Opinion

Vivienne Sze: Crossing the Hardware-Software Divide for Efficient AI

MIT Associate Professor Vivienne Sze discusses why we need low-power AI now, and more.

Stop Talking About AI Ethics. It's Time to Talk About Power
From ACM Opinion

Stop Talking About AI Ethics. It's Time to Talk About Power

AI scholar Kate Crawford explores the history of artificial intelligence and its impact on the physical world in her new book, Atlas of AI.

Tech in the Post-Pandemic World
From ACM Opinion

Tech in the Post-Pandemic World

Assessing its future, both the bad and the good.

Hackers Used to Be Humans. Soon, AIs Will Hack Humanity
From ACM Opinion

Hackers Used to Be Humans. Soon, AIs Will Hack Humanity

To date, hacking has exclusively been a human activity. Not for long.

Intel's Melvin Greer: AI, Data Science a Growth Pillar
From ACM Opinion

Intel's Melvin Greer: AI, Data Science a Growth Pillar

Melvin Greer, chief data scientist for the Americas, Intel Corp., discusses the importance of nontechnical skills and cross-domain expertise, ethical AI, and AI...

A Computer Scientist Who Tackles Inequality Through Algorithms
From ACM Opinion

A Computer Scientist Who Tackles Inequality Through Algorithms

Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them.

Automation and the 'Winner Take Most' Effect
From ACM Opinion

Automation and the 'Winner Take Most' Effect

The threat that automation poses to humans has been greatly exaggerated, says Erik Brynjolfsson, director of the Stanford Digital Economy Lab and a senior fellow...

Bridging The Gap Between AI Policymakers and AI Developers
From ACM Opinion

Bridging The Gap Between AI Policymakers and AI Developers

The current gap in policymakers' tech knowledge and technologists' ethics knowledge needs to be bridged to ensure AI's sustainable development.

Artificial Intelligence Is a House Divided
From ACM Opinion

Artificial Intelligence Is a House Divided

A decades-old rivalry has riven the field. It's time to move on.

Fair Warning
From ACM Opinion

Fair Warning

For as long as there has been AI research, there have been credible critiques about the risks of AI boosterism.

The Turing Test Is Obsolete. It's Time to Build a New Barometer for AI
From ACM Opinion

The Turing Test Is Obsolete. It's Time to Build a New Barometer for AI

The goal put forth by the Turing Test is not a useful one for AI scientists. It is time to set a new challenge that inspires researchers and practitioners equally...

Operationalizing AI Ethics Principles
From Communications of the ACM

Operationalizing AI Ethics Principles

A better ethics analysis guide for developers.

AI Pioneer Geoff Hinton: 'Deep Learning Is Going to Be Able to Do Everything'
From ACM Opinion

AI Pioneer Geoff Hinton: 'Deep Learning Is Going to Be Able to Do Everything'

Thirty years ago, Geoffrey Hinton's belief in neural networks was contrarian. Now it's hard to find people who disagree with him.

AI Ruined Chess. Now, It's Making the Game Beautiful Again
From ACM Opinion

AI Ruined Chess. Now, It's Making the Game Beautiful Again

Former world champion Vladimir Kramnik teamed up with AI researchers at Alphabet's DeepMind lab to test game variants that can jolt chess players into creative...

When Algorithms Give Real Students Imaginary Grades
From ACM Opinion

When Algorithms Give Real Students Imaginary Grades

In-person final exams were canceled for thousands of students this spring, so computers stepped in — to disastrous effect.

The Field of Natural Language Processing is Chasing the Wrong Goal
From ACM Opinion

The Field of Natural Language Processing is Chasing the Wrong Goal

Researchers are too focused on whether AI systems can ace tests of dubious value. They should be testing whether systems grasp how the world works.
Sign In for Full Access
» Forgot Password? » Create an ACM Web Account