7 citations · 10 across the 2 of their papers we have counts for
3 papers
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn +7
In AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly…
The Impossibility of Fair LLMs
Jacy Anthis, Kristian Lum, Michael Ekstrand +2
The rise of general-purpose artificial intelligence (AI) systems, particularly large language models (LLMs), has raised pressing moral questions about how to reduce bias and ensure…
Responsible AI Research Needs Impact Statements Too
Alexandra Olteanu, Michael Ekstrand, Carlos Castillo +1
All types of research, development, and policy work can have unintended, adverse consequences - work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no…