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Privacy Engineering Superheroes
From Communications of the ACM

Privacy Engineering Superheroes

Privacy engineers are essential to both preventing and responding to organizational privacy problems.

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 Uselessness of Useful Knowledge
From ACM Opinion

The Uselessness of Useful Knowledge

Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress

'Small Data' Is Also Crucial for Machine Learning
From ACM Opinion

'Small Data' Is Also Crucial for Machine Learning

The most promising AI approach you've never heard of doesn't need to go big

Why Robots Should Fear Death as Much as We Do
From ACM Opinion

Why Robots Should Fear Death as Much as We Do

To gain full artificial general intelligence, perhaps machines need to fear their own mortality

Americans Need a Bill of Rights for an AI-Powered World
From ACM Opinion

Americans Need a Bill of Rights for an AI-Powered World

The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public

Supersized AIs: Are Truly Intelligent Machines Just a Matter of Scale?
From ACM Opinion

Supersized AIs: Are Truly Intelligent Machines Just a Matter of Scale?

Gigantic neural networks that write with remarkable fluency have led to suggestions that scaling up will usher in ultimately true machine intelligence

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

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

Divide and Conquer
From Communications of the ACM

Divide and Conquer

The use and limits of bisection.

Remaining Connected Throughout Design
From Communications of the ACM

Remaining Connected Throughout Design

Applying the unique experiences of designing technologies for vulnerable communities.

The Imperative for Sustainable AI Systems
From ACM Opinion

The Imperative for Sustainable AI Systems

The impact of AI's massive carbon footprint is social, not just environmental

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

Machine Learning Won't Solve Natural Language Understanding
From ACM Opinion

Machine Learning Won't Solve Natural Language Understanding

Data-driven approaches to NLU are psychologically, cognitively, and computationally implausible.

The Global Research Community Must Not Abandon Afghanistan
From ACM Opinion

The Global Research Community Must Not Abandon Afghanistan

Vulnerable Afghan researchers need the international research community’s support

Here's Why Tech Companies Are Suddenly Focused on Child Safety
From ACM Opinion

Here's Why Tech Companies Are Suddenly Focused on Child Safety

Tech colossi are responding to shifting political winds and trying to preempt new, impending regulations

There's a Better Way to Stop Ransomware Attacks
From ACM Opinion

There's a Better Way to Stop Ransomware Attacks

Adopt and enforce regulations for the cryptocurrency industry that are equivalent to traditional banking

No More Mr. Nice Robot?
From ACM Opinion

No More Mr. Nice Robot?

Humans might want—and need—robots to be jerks, at least sometimes.

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
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