Communications of the ACM
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
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
The Computer Scientist Training AI to Think With Analogies
Digital minds will never truly be like ours until they can make analogies.
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
Why It's So Hard to Make Tech More Diverse
Block Party founder Tracy Chou reflects on the obstacles she's encountered as a tech entrepreneur.
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
Alondra Nelson Wants to Make Science and Tech More Just
The deputy director of the White House science office plans to tackle algorithmic bias and start candid conversations about the past.
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
Q&A with Google's Bill Magro
Google's new chief technologist of HPC talks quantum computers, AI, cloud, silicone packaging, interconnect technology, and expanding HPC's reach.
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
An Interview with Jim Keller: 'The Laziest Person at Tesla'
Veteran chip designer covers his past lives, Moore's Law, AI-designed chips, security, ethics, and more.
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