Assertiveness-based agent communication for a personalized medicine on medical imaging diagnosis
FM Calisto, J Fernandes, M Morais… - Proceedings of the …, 2023 - dl.acm.org
Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …
healthcare settings. While a substantial body of work has contributed to the best strategies to …
Stepping out of the shadow of human-human teaming: Crafting a unique identity for human-autonomy teams
While the rapid expansion of human-autonomy teaming can and should be aided by using
historically beneficial theories from human-human teams, the advent of human-autonomy …
historically beneficial theories from human-human teams, the advent of human-autonomy …
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
MR Taesiri, G Nguyen… - Advances in Neural …, 2022 - proceedings.neurips.cc
Explaining artificial intelligence (AI) predictions is increasingly important and even
imperative in many high-stake applications where humans are the ultimate decision-makers …
imperative in many high-stake applications where humans are the ultimate decision-makers …
" I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Widely deployed large language models (LLMs) can produce convincing yet incorrect
outputs, potentially misleading users who may rely on them as if they were correct. To …
outputs, potentially misleading users who may rely on them as if they were correct. To …
Don't just tell me, ask me: Ai systems that intelligently frame explanations as questions improve human logical discernment accuracy over causal ai explanations
Critical thinking is an essential human skill. Despite the importance of critical thinking,
research reveals that our reasoning ability suffers from personal biases and cognitive …
research reveals that our reasoning ability suffers from personal biases and cognitive …
[HTML][HTML] Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis
In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
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 …
Measuring and understanding trust calibrations for automated systems: a survey of the state-of-the-art and future directions
Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
Ground (less) truth: A causal framework for proxy labels in human-algorithm decision-making
A growing literature on human-AI decision-making investigates strategies for combining
human judgment with statistical models to improve decision-making. Research in this area …
human judgment with statistical models to improve decision-making. Research in this area …
Three challenges for ai-assisted decision-making
M Steyvers, A Kumar - Perspectives on Psychological …, 2023 - journals.sagepub.com
Artificial intelligence (AI) has the potential to improve human decision-making by providing
decision recommendations and problem-relevant information to assist human decision …
decision recommendations and problem-relevant information to assist human decision …