Communications of the ACM
From Communications of the ACM
Contracting for Artificial Intelligence
Considering the promises and perils of contracting for the use of artificial intelligence tools and data.
From Communications of the ACM
Metrics for Success: Why and How to Evaluate Privacy Choice Usability
Assessing the usability of choice and consent mechanisms.
From Communications of the ACM
A Map for Innovation
Innovation is less elusive with the right navigational map.
From Communications of the ACM
The Premature Obituary of Programming
Why deep learning will not replace programming.
From Communications of the ACM
Building Machine Learning Models Like Open Source Software
Proposing a community-based system for model development.
From Communications of the ACM
Software Engineering of Machine Learning Systems
Seeking to make machine learning more dependable.
From Communications of the ACM
Ethical AI is Not about AI
The equation Ethics + AI = Ethical AI is questionable.
From Communications of the ACM
The Elephant in the Room
It is time to get the POSIX elephant off our necks.
From Communications of the ACM
The AI Ethicist's Dirty Hands Problem
Attempting to balance sometimes-conflicting interests.
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.
From Communications of the ACM
Are Software Updates Useless against Advanced Persistent Threats?
Considering the conundrum of software updates.
From Communications of the ACM
From Quantum Computing to Quantum Communications
Attempting to disentangle mechanical principles.
From ACM Opinion
Yoshua Bengio: The Past, Present, and Future of Deep Learning
2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field.
From Communications of the ACM
Building a New Economy: Data, AI, and Web3
How distributed technologies could return more control to users.
From Communications of the ACM
Can Universities Combat the 'Wrong Kind of AI'?
Seeking an artificial intelligence reset.
From Communications of the ACM
The Four Horsemen of an Ailing Software Project
Don't let the pale rider catch you with an exception.
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.
From ACM Opinion
Software Engineering in Physics Research
A discussion on how physics research scientists use software.
From Communications of the ACM