Communications of the ACM
From ACM Opinion
Is AI Threatened by Too Little Data?
Knowing when to limit your data dramatically affects the quality of your artificial intelligence.
From ACM Opinion
Four AI Trends for 2022
Look for improvements to neural networks, strategic ethics, hiring practices, and even gastronomy
From ACM Opinion
Be Wary of Trusting Algorithms in Volatile Markets
IT leaders can prevent disaster by understanding and articulating the risks of relying on increasingly complex algorithms
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
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
Tesla's Dojo Is Impressive, but It Won't Transform Supercomputing
Dojo's reported performance numbers and niche application place it outside the ranks of true supercomputers
From ACM Opinion
How to Do Machine Learning without an Army of Data Scientists
Machine learning is still harder than it needs to be, but there are tools that can help
From ACM Opinion
How AI Struggles with Bike Lanes and Bias
Despite continued advances in AI, we still haven't solved some of its most basic problems
From ACM Opinion