57 citations · 88 across the 5 of their papers we have counts for
5 papers
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
Irina Jurenka, Markus Kunesch, Kevin R. McKee +71
A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about…
(Unfair) Norms in Fairness Research: A Meta-Analysis
Jennifer Chien, A. Stevie Bergman, Kevin R. McKee +5
Algorithmic fairness has emerged as a critical concern in artificial intelligence (AI) research. However, the development of fair AI systems is not an objective process. Fairness i…
Recourse for reclamation: Chatting with generative language models
Jennifer Chien, Kevin R. McKee, Jackie Kay +1
Researchers and developers increasingly rely on toxicity scoring to moderate generative language model outputs, in settings such as customer service, information retrieval, and con…
The illusion of artificial inclusion
William Agnew, A. Stevie Bergman, Jennifer Chien +5
Human participants play a central role in the development of modern artificial intelligence (AI) technology, in psychological science, and in user research. Recent advances in gene…
Human participants in AI research: Ethics and transparency in practice
Kevin R. McKee
In recent years, research involving human participants has been critical to advances in artificial intelligence (AI) and machine learning (ML), particularly in the areas of convers…