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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The Turing Test Is Obsolete.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The Turing Test Is Obsolete.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 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.

Automation Imperative Accelerates
From ACM Opinion

Automation Imperative Accelerates

Increased automation—with its ability to significantly boost societal productivity—is needed to help modern nations address seemingly intractable challenges such...

Here’s One Way to Make Daily Covid-19 Testing Feasible on a Mass Scale
From ACM Opinion

Here’s One Way to Make Daily Covid-19 Testing Feasible on a Mass Scale

Pooling tests with the help of machine learning can allow us to safely reopen without a vaccine.

If Done Right, AI Could Make Policing Fairer
From ACM Opinion

If Done Right, AI Could Make Policing Fairer

Stanford's Fei-Fei Li says technology should be developed in an inclusive way that reflects our values.

The Art of AI
From ACM Opinion

The Art of AI

Although popular narratives tend to focus on threats posed by artificial intelligence, many of the technology's dangers have been overhyped, its promises neglected...

The Robot Artists Aren’t Coming
From ACM Opinion

The Robot Artists Aren’t Coming

Artificial intelligence is making machines more creative — but machines don't make art.

A Case for Cooperation Between Machines and Humans
From ACM Opinion

A Case for Cooperation Between Machines and Humans

A computer scientist argues that the quest for fully automated robots is misguided, perhaps even dangerous. His decades of warnings are gaining more attention. ...

Don't Regulate Artificial Intelligence: Starve It
From ACM Opinion

Don't Regulate Artificial Intelligence: Starve It

The potential dangers of artificial intelligence are great enough to required great care about how powerful we allow it to become.
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