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Communications of the ACM

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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.

First Science Adviser in Biden Cabinet Talks COVID, Spying, and More
From ACM Opinion

First Science Adviser in Biden Cabinet Talks COVID, Spying, and More

As a member of the Biden cabinet, new OSTP Director Eric Lander may have more access and influence than any science adviser before him.

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.

Machine Learning Security Needs New Perspectives and Incentives
From ACM Opinion

Machine Learning Security Needs New Perspectives and Incentives

Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...

A Number Theorist Who Connects Math to Other Creative Pursuits
From ACM Opinion

A Number Theorist Who Connects Math to Other Creative Pursuits

Jordan Ellenberg calls on mathematics to explore everything from Internet fads to voting rights.

Theorists and Experimentalists Must Join Forces
From ACM Opinion

Theorists and Experimentalists Must Join Forces

Collaborations between theorists and experimentalists are crucial for accelerating research.

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.

For Companies That Use ML, Labeled Data Is the Key Differentiator
From ACM Opinion

For Companies That Use ML, Labeled Data Is the Key Differentiator

Any company that is considering using machine learning cannot overlook one technical choice: supervised or unsupervised learning.

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.

A Vision to Compute like Nature
From Communications of the ACM

A Vision to Compute like Nature: Thermodynamically

Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems...

Locality and Professional Life
From Communications of the ACM

Locality and Professional Life

The locality principle extends beyond computer memories. It teaches us something about being human.

Aversion to Versions
From Communications of the ACM

Aversion to Versions

Code needs to run anywhere as long as the necessary dependencies can be resolved.

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.

Data Scientists' Important Role in Defeating COVID Vaccine Skepticism
From ACM Opinion

Data Scientists' Important Role in Defeating COVID Vaccine Skepticism

Without a basic understanding of data measures and how they're computed, data-driven vaccine safety and effectiveness messages can become meaningless sound bites...
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