Filling gaps in trustworthy development of AI
📖 Description
This is the author's version of the work. It is posted here by permission of the AAAS for personal use. The definitive version was published in Science , (2021-12-10), doi: 10.1126/science.abi7176 https://www.science.org/doi/10.1126/science.abi7176 Filling gaps in trustworthy development of AI Incident sharing, auditing, and other concrete mechanisms could help verify the trustworthiness of actors By Shahar Avin1*?, Haydn Belfield1,2, Miles Brundage3, Gretchen Krueger3, Jasmine Wang4, Adrian Weller2,6,7, Markus Anderljung8, Igor Krawczuk9, David Krueger5,6, Jonathan Lebensold4,5, Tegan Maharaj5,10, Noa Zilberman11 The range of application of artificial intelligence (AI) is vast, as is the potential for harm. Growing awareness of potential risks from AI systems has spurred action to address those risks, while eroding confidence in AI systems and the organizations that develop them. A 2019 study (1) found over 80 organizations that published and adopted "AI e...
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +15 | Always |
| Papers | +10 | Always |
| Vibey Doom | +3 | Always |
💭 Reactions
"Advances our understanding of AI safety"
"Published in academic venue"
🔗 Sources
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