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Where Computing Might Go Next
From ACM Opinion

Where Computing Might Go Next

The future of computing depends in part on how we reckon with its past

How AI Is Reinventing What Computers Are
From ACM Opinion

How AI Is Reinventing What Computers Are

Three key ways artificial intelligence is changing what it means to compute

Medical Artificial Intelligence
From Communications of the ACM

Medical Artificial Intelligence: The European Legal Perspective

Although the European Commission proposed new legislation for the use of "high-risk artificial intelligence" earlier this year, the existing European fundamental...

Text and Data Mining of In-Copyright Works
From Communications of the ACM

Text and Data Mining of In-Copyright Works: Is It Legal?

How copyright law might be an impediment to text and data mining research.

Moving Towards Reproducible Machine Learning
From ACM Opinion

Moving Towards Reproducible Machine Learning

Reporting machine learning-based research can help to improve transparency and reproducibility

The FDA Should Better Regulate Medical Algorithms
From ACM Opinion

The FDA Should Better Regulate Medical Algorithms

Most do not require the agency's approval, and those that do often don't require clinical trial

Why OpenAI's Codex Won't Replace Coders
From ACM Opinion

Why OpenAI's Codex Won't Replace Coders

Human programmers can actually become more powerful and efficient with Codex

'Self-Driving' Cars Begin to Emerge from a Cloud of Hype
From ACM Opinion

'Self-Driving' Cars Begin to Emerge from a Cloud of Hype

Developers try to overcome a multitude of technical challenges before vehicles drive on their own

Leadership Lessons about Ethical AI and Algorithms
From ACM Opinion

Leadership Lessons about Ethical AI and Algorithms

Wall Street Journal's Facebook series exposes flaws in leadership's handling of algorithms' unintended consequences

A Developer's Guide to Machine-Learning Security
From ACM Opinion

A Developer's Guide to Machine-Learning Security

Countering adversarial attacks means understanding the different types as well as the ML weak spots

Who's Building the Foundation Models of the Future?
From ACM Opinion

Who's Building the Foundation Models of the Future?

Curation, auditing, and evaluation of so-called 'foundation models' should not be left to the tech industry.

Apple and Facebook Are Coming for Your Face Next
From ACM Opinion

Apple and Facebook Are Coming for Your Face Next

The face computer is coming—brace yourself

Where Should Information Go to Be Safe?
From ACM Opinion

Where Should Information Go to Be Safe?

Enterprise data is safest in the cloud and in the 'fog', according to one expert

How Open Source Software Shapes AI Policy
From ACM Opinion

How Open Source Software Shapes AI Policy

And why it is largely absent from policy discussions on artificial intelligence

Did DeepMind Just Take a Big Step Toward More Human-Like AI?
From ACM Opinion

Did DeepMind Just Take a Big Step Toward More Human-Like AI?

DeepMind researchers have created software agents that navigate a three-dimensional game world called XLand, where the agents learn from experience, by trial and...

Can We Handle the Truth about Cybersecurity?
From ACM Opinion

Can We Handle the Truth about Cybersecurity?

Standardizing disclosure rules while ensuring transparency can strengthen our total cybersecurity landscape

Tesla's Dojo Is Impressive, but It Won't Transform Supercomputing
From ACM Opinion

Tesla's Dojo Is Impressive, but It Won't Transform Supercomputing

Dojo's reported performance numbers and niche application place it outside the ranks of true supercomputers

Why Common Sense Is Hard for Computers
From ACM Opinion

Why Common Sense Is Hard for Computers

Recent efforts have recognized machine common sense as a moonshot AI problem of our times

Protecting the Global Internet from Technology Cold Wars
From Communications of the ACM

Protecting the Global Internet from Technology Cold Wars

Considering the perceived dangers of the global information flow.

Now That Machines Can Learn, Can They Unlearn?
From ACM Opinion

Now That Machines Can Learn, Can They Unlearn?

Researchers are testing whether they can remove sensitive data without retraining AI systems from scratch
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