Communications of the ACM
How to Solve AI's 'Common-Sense' Problem
AI systems without common sense will make mistakes when they reach the limits of where they've been trained.
From ACM Opinion
Intro to Model-Free and Model-Based Reinforcement Learning
Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.
From ACM Opinion
'Sentience' Is the Wrong Discussion to Have on AI Right Now
A more important conversation would be one about human compatibility and trust.
From ACM Opinion
Can Large Language Models Be Democratized?
The very nature of large language models is undemocratic and in favor of the companies that publicize them.
From ACM Opinion
Democratize Machine Learning with No-Code AI
Organizations lacking skilled data scientists and ML engineers can create and deploy ML models, too.
From ACM Opinion
Humans Should Be at the Center of AI
Human-centered AI aims to reduce fears of existential threats and increase benefits for users and society.
From ACM Opinion
Encourage Women in Tech to Protect against AI Bias
Need to ensure tech accurately reflects the structure of society
From ACM Opinion
Meta's Yann LeCun on His Vision for Human-level AI
Rather than try to replace natural intelligence, create AI that is compatible with human intelligence
From ACM Opinion
Humans and AI: Problem Finders and Problem Solvers
Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers
From ACM Opinion
DeepMind AlphaCode Does Not Compare to Human Programmers
Human programmers are in control but they must learn to harness the power and limits of AI-generated code
From ACM Opinion
Individual AI, a New Technology that Will Change Our World?
Is the next version of AI a technological symbiosis of the human brain and the computer system?
From ACM Opinion
Does AI Understand Our Language?
Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
From ACM Opinion
Why We Must Rethink AI Benchmarks
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
From ACM Opinion