From Communications of the ACM
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
Filippo Gualtiero Blancato| March 1, 2024
AI systems without common sense will make mistakes when they reach the limits of where they've been trained.
TechTalks From ACM Opinion | August 9, 2022
Technologies such as AlphaCode cannot think about and design their own problems, but they are very good problem solvers
TechTalks From ACM Opinion | February 15, 2022
Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
TechTalks From ACM Opinion | December 27, 2021
While helpful in comparing AI performance, benchmarks are often taken out of context, sometimes to harmful results
TechTalks From ACM Opinion | December 7, 2021
While larger deep neural networks can incrementally improveme specific tasks, they aren't fit for general natural language understanding.
TechTalks From ACM Opinion | July 12, 2021
Rewards are not enough to build artificial intelligence, says data scientist Herbert Roitblat, countering claims from a recent paper by DeepMind scientists.
TechTalks From ACM Opinion | July 8, 2021
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...TechTalks From ACM Opinion | June 3, 2021
Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...TechTalks From ACM Opinion | May 10, 2021