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AI&.
A publication to highlight the practice of developing and ensuring AI technologies are ethical, transparent, and inclusive for the benefit of people and society
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What Responsible AI Can Learn From the Race to Fix Meltdown and Spectre
What Responsible AI Can Learn From the Race to Fix Meltdown and Spectre
By Jasmine Wang, former PAI Research Fellow
Partnership on AI
Feb 26
Warning Labels Won’t Be Enough to Stop Vaccine Misinformation
Warning Labels Won’t Be Enough to Stop Vaccine Misinformation
By Emily Saltz, Claire Leibowicz, and Claire Wardle
Partnership on AI
Feb 18
What the AI Community Can Learn From Sneezing Ferrets and a Mutant Virus Debate
What the AI Community Can Learn From Sneezing Ferrets and a Mutant Virus Debate
Lessons on publication norms for the AI community from biosecurity
Partnership on AI
Dec 8, 2020
How News Organizations Use Algorithms to Decide What to Show You
How News Organizations Use Algorithms to Decide What to Show You
Personalizing the news is a bit different from trying to guess whether a Netflix subscriber prefers horror movies or comedies.
Partnership on AI
Dec 1, 2020
A Field Guide to Making AI Art Responsibly
A Field Guide to Making AI Art Responsibly
Machine learning tools for generating synthetic media are becoming more and more accessible. We’ve written about how the availability of…
Partnership on AI
Sep 18, 2020
5 Urgent Considerations for the Automated Categorization of Manipulated Media
5 Urgent Considerations for the Automated Categorization of Manipulated Media
Digital platforms have a manipulated media problem: mis/disinformation through videos, memes, and photographs.
Partnership on AI
Jun 29, 2020
Building Responsible AI with New International Partners
Building Responsible AI with New International Partners
The Partnership on AI (PAI) strives to bring diverse organizations together in pursuit of responsible artificial intelligence. We have…
Partnership on AI
May 12, 2020
Why PATTERN Should Not Be Used: The Perils of Using Algorithmic Risk Assessment Tools During…
Why PATTERN Should Not Be Used: The Perils of Using Algorithmic Risk Assessment Tools During…
This use of PATTERN may lead to significant racial disparities among the inmates placed in home confinement.
Partnership on AI
Apr 30, 2020
Working to Address Algorithmic Bias? Don’t Overlook the Role of Demographic Data
Working to Address Algorithmic Bias? Don’t Overlook the Role of Demographic Data
Collecting and using demographic data in service of detecting algorithmic bias is a challenge fraught with many legal and ethical…
Partnership on AI
Apr 24, 2020
PAI Researchers Co-author Multistakeholder Report on Improving Verifiability in AI Development
PAI Researchers Co-author Multistakeholder Report on Improving Verifiability in AI Development
Alongside co-authors from more than 26 institutions, several staff members of the Partnership on AI contributed to the multistakeholder…
Partnership on AI
Apr 16, 2020
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