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Large Language Models Associate Muslims with Violence
From ACM Opinion

Large Language Models Associate Muslims with Violence

New approaches are needed to systematically reduce the harmful bias of language models in deployment.

Research Collaborations Bring Big Rewards: The World Needs More
From ACM Opinion

Research Collaborations Bring Big Rewards: The World Needs More

We need diverse teams collaborating to help navigate and overcome social and geopolitical challenges.

When AI Becomes Child's Play
From ACM Opinion

When AI Becomes Child's Play

Algorithms trained in pattern recognition struggle to understand kids.

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril
From ACM Opinion

Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril

A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.

Wanted: Rules for Pandemic Data Access That Everyone Can Trust
From ACM Opinion

Wanted: Rules for Pandemic Data Access That Everyone Can Trust

In the wake of COVID-19, a pandemic treaty could be a way to agree on data access before the next emergency strikes.

Are We Waiting for Everyone to Get Hacked?
From ACM Opinion

Are We Waiting for Everyone to Get Hacked?

Leon Panetta is one of the few American government officials who can look around at the nation's rolling cyberdisasters and justifiably say, “I told you so.”

The U.S. Needs a National Strategic Computing Reserve
From ACM Opinion

The U.S. Needs a National Strategic Computing Reserve

One year after supercomputers worked together to fight COVID-19, it's time to broaden the partnership to prepare for other crises.

Does AI Have an Alignment Problem?
From ACM Opinion

Does AI Have an Alignment Problem?

The problems and the possibilities of AI are, in a very deep way, the problems and possibilities of humanity.

Reward Is Enough for Generalized AI
From ACM Opinion

Reward Is Enough for Generalized AI

The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.

Reducing Racial Bias in AI Models for Clinical Use
From ACM Opinion

Reducing Racial Bias in AI Models for Clinical Use

To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.

Polarized Scientific Views Are Worse Than Ever
From ACM Opinion

Polarized Scientific Views Are Worse Than Ever

Interactions between science and politics are now so complex, so numerous, and often so opaque that it’s not clear anymore whom to trust.

Getting More People With Disabilities Developing Technology Is Good for Everyone
From ACM Opinion

Getting More People With Disabilities Developing Technology Is Good for Everyone

It's not just a matter of fairness and inclusion. Accessible technology is generally better for everyone.

Self-Driving Cars Might Never Be Able to Drive Themselves
From ACM Opinion

Self-Driving Cars Might Never Be Able to Drive Themselves

Producing truly autonomous vehicles requires a fundamental shift in current approaches.

Shoshana Zuboff: Why You Should Care About Privacy
From ACM Opinion

Shoshana Zuboff: Why You Should Care About Privacy

The author of The Age of Surveillance Capitalism talks about why people should pay attention to how big tech companies are using their information.

Should Alexa Read Our Moods?
From ACM Opinion

Should Alexa Read Our Moods?

Companies should be barred from analyzing what people say and how they sound to recommend products or personalize advertising messages.

Collusion Rings Threaten the Integrity of Computer Science Research
From Communications of the ACM

Collusion Rings Threaten the Integrity of Computer Science Research

Experiences discovering attempts to subvert the peer-review process.

Depth and Persistence
From Communications of the ACM

Depth and Persistence: What Researchers Need to Know About Impostor Syndrome

Understanding impostor syndrome's complexity and its effect on research persistence.

The Risks of Election Believability (or Lack Thereof)
From Communications of the ACM

The Risks of Election Believability (or Lack Thereof)

With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?

How to Be Responsible in AI Publication
From ACM Opinion

How to Be Responsible in AI Publication

A white paper from Partnership on AI advises on navigating the risks of AI research and responsible publication.

Caution Ahead: Navigating Risks to Freedoms Posed by AI
From ACM Opinion

Caution Ahead: Navigating Risks to Freedoms Posed by AI

NSCAI commissioners and PCLOB members urge a task force to examine the challenges of using AI systems across federal agencies.
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