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Metrics for Success
From Communications of the ACM

Metrics for Success: Why and How to Evaluate Privacy Choice Usability

Assessing the usability of choice and consent mechanisms.

A Map for Innovation
From Communications of the ACM

A Map for Innovation

Innovation is less elusive with the right navigational map.

An Analysis of Black Faculty in CS Research Departments
From Communications of the ACM

An Analysis of Black Faculty in CS Research Departments

Exploring Black faculty at computer science research departments where Ph.D. programs exist.

The Premature Obituary of Programming
From Communications of the ACM

The Premature Obituary of Programming

Why deep learning will not replace programming.

Building Machine Learning Models Like Open Source Software
From Communications of the ACM

Building Machine Learning Models Like Open Source Software

Proposing a community-based system for model development.

Software Engineering of Machine Learning Systems
From Communications of the ACM

Software Engineering of Machine Learning Systems

Seeking to make machine learning more dependable.

Ethical AI is Not about AI
From Communications of the ACM

Ethical AI is Not about AI

The equation Ethics + AI = Ethical AI is questionable.

The Elephant in the Room
From Communications of the ACM

The Elephant in the Room

It is time to get the POSIX elephant off our necks.

Four Ways to Add Active Learning to Computing Courses
From Communications of the ACM

Four Ways to Add Active Learning to Computing Courses

How active-learning techniques can benefit students in computing courses.

The Overlooked Upsides of Algorithms in the Workplace
From ACM Opinion

The Overlooked Upsides of Algorithms in the Workplace

Orly Lobel, a law professor at the University of San Diego, believes technology can make the world a better place — and she knows in 2022, that makes her a bit...

The AI Ethicist's Dirty Hands Problem
From Communications of the ACM

The AI Ethicist's Dirty Hands Problem

Attempting to balance sometimes-conflicting interests.

Are We Cobblers without Shoes?
From Communications of the ACM

Are We Cobblers without Shoes?: Making Computer Science Data FAIR

In search of more efficient data sharing.

The End of Programming
From Communications of the ACM

The End of Programming

The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit.

Are Software Updates Useless against Advanced Persistent Threats?
From Communications of the ACM

Are Software Updates Useless against Advanced Persistent Threats?

Considering the conundrum of software updates.

From Quantum Computing to Quantum Communications
From Communications of the ACM

From Quantum Computing to Quantum Communications

Attempting to disentangle mechanical principles.

Global Perspectives of Diversity, Equity, and Inclusion
From Communications of the ACM

Global Perspectives of Diversity, Equity, and Inclusion

ACM luminaries describe how their experiences with DEI issues vary between the different continents where they have lived.

Building a New Economy
From Communications of the ACM

Building a New Economy: Data, AI, and Web3

How distributed technologies could return more control to users.

Can Universities Combat the 'Wrong Kind of AI'?
From Communications of the ACM

Can Universities Combat the 'Wrong Kind of AI'?

Seeking an artificial intelligence reset.

The Four Horsemen of an Ailing Software Project
From Communications of the ACM

The Four Horsemen of an Ailing Software Project

Don't let the pale rider catch you with an exception.

The Context Problem in Artificial Intelligence
From Communications of the ACM

The Context Problem in Artificial Intelligence

The artificial intelligence design challenge of teaming humans and machines is difficult because machines cannot read the context of use.
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