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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.

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...

Can Machines Control Our Brains?
From ACM Opinion

Can Machines Control Our Brains?

Advances in brain-computer interface technology are impressive, but not close to anything resembling mind control.

'Clearly AI Is Going to Win'
From ACM Opinion

'Clearly AI Is Going to Win'

Nobel-winning psychologist Daniel Kahneman discusses listening to science, avoiding system noise, and the inevitability of AI over human intelligence.

European AI Needs Strategic Leadership, Not Overregulation
From ACM Opinion

European AI Needs Strategic Leadership, Not Overregulation

EU regulation of AI could limit the use cases and innovation and put the EU in a technologically inferior position globally.

Defining a Role for AI Ethics in National Security
From ACM Opinion

Defining a Role for AI Ethics in National Security

Mariarosaria Taddeo, an associate professor and senior research fellow at the Oxford Internet Institute and Dstl Ethics Fellow at the Alan Turing Institute, discusses...

Stop the Emerging AI Cold War
From ACM Opinion

Stop the Emerging AI Cold War

Proliferating military artificial intelligence will leave the world less safe—so we must focus on ethics and global cooperation, argues Denise Garcia, vice-chair...

Cooperative AI: Machines Must Learn to Find Common Ground
From ACM Opinion

Cooperative AI: Machines Must Learn to Find Common Ground

To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.

Trustworthy Scientific Computing
From Communications of the ACM

Trustworthy Scientific Computing

Addressing the trust issues underlying the current limits on data sharing.

Software Professionals, Malpractice Law, and Codes of Ethics
From Communications of the ACM

Software Professionals, Malpractice Law, and Codes of Ethics

In pursuit of professional status for computing professionals.

CS Unplugged or Coding Classes?
From Communications of the ACM

CS Unplugged or Coding Classes?

Perhaps a more appropriate question is 'Why not both'?
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