Communications of the ACM
Generative AI Degrades Online Communities
How large language models are influencing online communities.
From ACM Opinion
Artificial Intelligence and the Intelligence Community
The intelligence community's budget and acquisition processes rise to the top of the issues it must address before it can take full advantage of AI
From ACM Opinion
Why 90% of Machine-Learning Models Never Hit the Market
Most companies lack leadership support, effective communication between teams, and accessible data
From ACM Opinion
Is the U.S. Labor Shortage the Big Break AI Needs?
Companies experiencing labor shortages should consider where AI can make their employees' lives better and easier.
From ACM Opinion
The Assault on Our Privacy Is Being Conducted in Private
The rise of social media, Google, and online shopping and banking has made us far more exposed than back in the Internet’s infancy.
From ACM Opinion
Why Machine Learning Can't Understand Human Language
While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.
From ACM Opinion
Building Artificial Intelligence: Reward Is Not Enough
Rewards are not enough to build artificial intelligence, says data scientist Herbert Roitblat, countering claims from a recent paper by DeepMind scientists.
From ACM Opinion
Robots Were Supposed to Take Our Jobs. Instead, They're Making Them Worse.
The robot apocalypse is already here, it just looks different than you thought.
From ACM Opinion
TinyML: What Is It and How Will It Change Machine Learning Best Practices?
TinyML will change machine-learning best practices by encouraging more developers to view it as a viable option.
From ACM Opinion
Tesla AI Chief Says Self-Driving Cars Don't Need Lidar
Andrej Karpathy shares why the company still believes in a purely vision-based autonomous driving solution.
From ACM Opinion
The Danger of Anthropomorphic Language in Robotic AI Systems
Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.
From ACM Opinion
Paving the Way Towards Trustworthy and Responsible AI
Public sector AI innovation needs a more sophisticated, data-driven, and mature approach to ensure effectiveness of governments and better citizen outcomes.
From ACM Opinion
Lethal Autonomous Weapons Exist; They Must Be Banned
It may not be too late to put the evil "slaughterbots" genie back in the bottle, if the world acts now.
From ACM Opinion
Large Language Models Associate Muslims with Violence
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
From ACM Opinion
Google's AI Approach to Microchips Is Welcome—but Needs Care
Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.
From ACM Opinion
The Coming Productivity Boom
AI and other digital technologies have been surprisingly slow to improve economic growth. But that could be about to change.
From ACM Opinion
Amid a Pandemic, a Health Care Algorithm Shows Promise and Peril
A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.
From ACM Opinion
Reward Is Enough for Generalized AI
The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.
From ACM Opinion
Reducing Racial Bias in AI Models for Clinical Use
To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.
From ACM Opinion
Machine Learning Security Needs New Perspectives and Incentives
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...
From ACM Opinion