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
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
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
How AI Can Enhance the Human Experience
With AI, the digital age can complement humanity like never before
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
What OpenAI and GitHub's AI Pair Programmer Means for the Software Industry
AI-powered code generator provides some interesting hints about the business of large language models and the future of the software industry.
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
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
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