Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies
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 …
performance. However, in high-stakes domains such as criminal justice and healthcare, full …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Teachers' trust in AI‐powered educational technology and a professional development program to improve it
Evidence from various domains underlines the critical role that human factors, and
especially trust, play in adopting technology by practitioners. In the case of Artificial …
especially trust, play in adopting technology by practitioners. In the case of Artificial …
[PDF][PDF] Ai transparency in the age of llms: A human-centered research roadmap
QV Liao, JW Vaughan - arXiv preprint arXiv:2306.01941, 2023 - assets.pubpub.org
The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …
for innovation but also looming risks for individuals and society at large. We have reached a …
Towards a science of human-ai decision making: a survey of empirical studies
As AI systems demonstrate increasingly strong predictive performance, their adoption has
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
Designing for responsible trust in AI systems: A communication perspective
Current literature and public discourse on “trust in AI” are often focused on the principles
underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given …
underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given …
Disentangling fairness perceptions in algorithmic decision-making: the effects of explanations, human oversight, and contestability
Recent research claims that information cues and system attributes of algorithmic decision-
making processes affect decision subjects' fairness perceptions. However, little is still known …
making processes affect decision subjects' fairness perceptions. However, little is still known …
Are two heads better than one in ai-assisted decision making? comparing the behavior and performance of groups and individuals in human-ai collaborative …
With the prevalence of AI assistance in decision making, a more relevant question to ask
than the classical question of “are two heads better than one?''is how groups' behavior and …
than the classical question of “are two heads better than one?''is how groups' behavior and …
Healthcare AI treatment decision support: Design principles to enhance clinician adoption and trust
ER Burgess, I Jankovic, M Austin, N Cai… - Proceedings of the …, 2023 - dl.acm.org
Artificial intelligence (AI) supported clinical decision support (CDS) technologies can parse
vast quantities of patient data into meaningful insights for healthcare providers. Much work is …
vast quantities of patient data into meaningful insights for healthcare providers. Much work is …
“There is not enough information”: On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making
J Schoeffer, N Kuehl, Y Machowski - … of the 2022 ACM Conference on …, 2022 - dl.acm.org
Automated decision systems (ADS) are increasingly used for consequential decision-
making. These systems often rely on sophisticated yet opaque machine learning models …
making. These systems often rely on sophisticated yet opaque machine learning models …