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What Every Engineer and Computer Scientist Should Know
From Communications of the ACM

What Every Engineer and Computer Scientist Should Know: The Biggest Contributor to Happiness

Seeking the fundamental factors instrumental to happiness.

Patent Absurdity
From Communications of the ACM

Patent Absurdity

A case when ignorance is the best policy.

Accelerator-Level Parallelism
From Communications of the ACM

Accelerator-Level Parallelism

Charging computer scientists to develop the science needed to best achieve the performance and cost goals of accelerator-level parallelism hardware and software...

'In Situ' Data Rights
From Communications of the ACM

'In Situ' Data Rights

Improving on data portability.

'Yeah, We're Spooked', Says Expert about AI's Potential Impact
From ACM Opinion

'Yeah, We're Spooked', Says Expert about AI's Potential Impact

Professor Stuart Russell says field of AI needs to grow up quickly to ensure humans remain in control

Strong AI Requires Autonomous Building of Composable Models
From ACM Opinion

Strong AI Requires Autonomous Building of Composable Models

Models built by AI must encode the fundamental patterns of experience

We Are Not Users
From Communications of the ACM

We Are Not Users: Gaining Control Over New Technologies

Seeking a more selective approach to technology usage.

Shaping Ethical Computing Cultures
From Communications of the ACM

Shaping Ethical Computing Cultures

Lessons from the recent past.

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
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