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
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
TinyML will change machine-learning best practices by encouraging more developers to view it as a viable option.
Dataconomy From ACM Opinion | July 6, 2021
The deputy director of the White House science office plans to tackle algorithmic bias and start candid conversations about the past.
Wired From ACM Opinion | July 1, 2021
Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.
Brookings TechStream From ACM Opinion | June 29, 2021
Public sector AI innovation needs a more sophisticated, data-driven, and mature approach to ensure effectiveness of governments and better citizen outcomes.
Forbes From ACM Opinion | June 28, 2021
It may not be too late to put the evil "slaughterbots" genie back in the bottle, if the world acts now.
Stuart Russell, Anthony Aguirre, Emilia Javorsky, and Max Tegmark From ACM Opinion | June 24, 2021
New approaches are needed to systematically reduce the harmful bias of language models in deployment.
Nature Machine Intelligence From ACM Opinion | June 18, 2021
Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.
Nature From ACM Opinion | June 17, 2021
AI and other digital technologies have been surprisingly slow to improve economic growth. But that could be about to change.MIT Technology Review From ACM Opinion | June 16, 2021
A machine learning-based score designed to aid triage decisions is gaining in popularity, but lacking in transparency.Undark From ACM Opinion | June 11, 2021
The problems and the possibilities of AI are, in a very deep way, the problems and possibilities of humanity.
The New York Times From ACM Opinion | June 8, 2021
The generic objective of maximizing reward is enough to drive behavior that exhibits most abilities studied in natural and artificial intelligence.
Journal of Artificial Intelligence From ACM Opinion | June 8, 2021
To fully address the issue of racial bias in AI models for clinical use, a top-down intervention is required.
Supriya Kapur From ACM Opinion | June 7, 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