71 citations · 130 across the 2 of their papers we have counts for
3 papers
cs.CY2023
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Will Hawkins, Brent Mittelstadt
The technical progression of artificial intelligence (AI) research has been built on breakthroughs in fields such as computer science, statistics, and mathematics. However, in the…
cs.AI2023★ 59 cited
Model evaluation for extreme risks
Toby Shevlane, Sebastian Farquhar, Ben Garfinkel +18
Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to ca…
cs.CL2021★ 71 cited
Ethical and social risks of harm from Language Models
Laura Weidinger, John Mellor, Maribeth Rauh +20
This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understan…