Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
Programming Hate into AI Will Be Controversial, but Possibly Necessary
For a created consciousness to make value judgments, both liking and disliking functions must be part of the system.
From ACM Opinion
Moving Towards Reproducible Machine Learning
Reporting machine learning-based research can help to improve transparency and reproducibility
From ACM Opinion
In Favor of More Science Communication by AI Researchers
Those developing AI should do more to fix the misunderstanding, hype, and misinformation that surrounds it
From ACM Opinion
The Uselessness of Useful Knowledge
Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress
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
From ACM Opinion
Facebook Uses Deceptive Math to Hide Its Hate Speech Problem
The company claims its AI is amazing at removing harmful content, but internal documents suggest the algorithm is ineffective
From ACM Opinion
Pentagon Wants AI to Predict Events Before They Occur
AI-enabled platforms are expected to offer strategic warning of adversarial actions prior to any irreversible moves having been made
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
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
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
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
From ACM Opinion
Will the Cloud Eat Your AI?
Big cloud providers have a lot going for them when it comes to AI, but are they the only game in town?
From ACM Opinion
Facebook Can't Be Saved
Whistleblower Frances Haugen told senators that Facebook shouldn't be broken up, but its problems are a direct consequence of its size.
From ACM Opinion
Why OpenAI's Codex Won't Replace Coders
Human programmers can actually become more powerful and efficient with Codex
From ACM Opinion
Why Facebook Should Release the Facebook Files
The company's least-bad option might also do a lot of good
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
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
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
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.
From ACM Opinion