Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies

V Lai, C Chen, A Smith-Renner, QV Liao… - Proceedings of the 2023 …, 2023‏ - dl.acm.org
AI systems are adopted in numerous domains due to their increasingly strong predictive
performance. However, in high-stakes domains such as criminal justice and healthcare, full …

A survey on datasets for fairness‐aware machine learning

T Le Quy, A Roy, V Iosifidis, W Zhang… - … Reviews: Data Mining …, 2022‏ - Wiley Online Library
As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

Disentangling fairness perceptions in algorithmic decision-making: the effects of explanations, human oversight, and contestability

M Yurrita, T Draws, A Balayn, D Murray-Rust… - Proceedings of the …, 2023‏ - dl.acm.org
Recent research claims that information cues and system attributes of algorithmic decision-
making processes affect decision subjects' fairness perceptions. However, little is still known …

Forever focused on fairness: 75 years of organizational justice in Personnel Psychology

JA Colquitt, ET Hill, D De Cremer - Personnel Psychology, 2023‏ - Wiley Online Library
We provide a review of progress in the field of organizational justice, paying special
attention to articles published in Personnel Psychology. We begin by describing the …

Development and validation of an instrument to measure undergraduate students' attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its …

Y Jang, S Choi, H Kim - Education and Information Technologies, 2022‏ - Springer
As artificial intelligence (AI) becomes more prevalent, so does the interest in AI ethics. To
address issues related to AI ethics, many government agencies, non-governmental …

Fairness perceptions of artificial intelligence: A review and path forward

D Narayanan, M Nagpal, J McGuire… - … Journal of Human …, 2024‏ - Taylor & Francis
A key insight from research on organizational justice is that fairness is in the eye of the
beholder. With increasing discussions–especially among computer scientists and …