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
'The magnitude of technological shifts that we are trying to manifest here hasn't been attempted in a long time'The Verge From ACM Opinion | November 8, 2021
Stanford JD-PhD candidate Peter Henderson talks about creating robust decision-making systems and ML methods that benefit society
The Gradient From ACM Opinion | November 8, 2021
Data science expert talks about how trustworthy AI and causal reasoning can help society solve real-world problems
MIT Technology Review From ACM Opinion | November 2, 2021
For a created consciousness to make value judgments, both liking and disliking functions must be part of the system.TechCrunch From ACM Opinion | October 25, 2021
Reporting machine learning-based research can help to improve transparency and reproducibility
Nature Computational Science From ACM Opinion | October 22, 2021
Those developing AI should do more to fix the misunderstanding, hype, and misinformation that surrounds it
Last Week in AI From ACM Opinion | October 21, 2021
Today's powerful but little-understood AI breakthroughs echo past examples of unexpected scientific progress
Quanta Magazine From ACM Opinion | October 21, 2021
The company claims its AI is amazing at removing harmful content, but internal documents suggest the algorithm is ineffective
Wired From ACM Opinion | October 18, 2021
AI-enabled platforms are expected to offer strategic warning of adversarial actions prior to any irreversible moves having been made
IEEE Spectrum From ACM Opinion | October 15, 2021
Most do not require the agency's approval, and those that do often don't require clinical trial
Scientific American From ACM Opinion | October 13, 2021
The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public
Wired From ACM Opinion | October 12, 2021
Gigantic neural networks that write with remarkable fluency have led to suggestions that scaling up will usher in ultimately true machine intelligence
New Scientist From ACM Opinion | October 8, 2021