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A critical survey on fairness benefits of explainable AI
In this critical survey, we analyze typical claims on the relationship between explainable AI
(XAI) and fairness to disentangle the multidimensional relationship between these two …
(XAI) and fairness to disentangle the multidimensional relationship between these two …
Appropriate reliance on AI advice: Conceptualization and the effect of explanations
AI advice is becoming increasingly popular, eg, in investment and medical treatment
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
More capable, less benevolent: Trust perceptions of AI systems across societal contexts
Modern AI applications have caused broad societal implications across key public domains.
While previous research primarily focuses on individual user perspectives regarding AI …
While previous research primarily focuses on individual user perspectives regarding AI …
The impact of imperfect XAI on human-AI decision-making
Explainability techniques are rapidly being developed to improve human-AI decision-
making across various cooperative work settings. Consequently, previous research has …
making across various cooperative work settings. Consequently, previous research has …
[HTML][HTML] Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …
performance gap. While data-driven energy quantification methods based on machine …
Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance
Algorithms used in data analytics (DA) tools, particularly in high‐stakes contexts such as
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …
“I Want It That Way”: Enabling Interactive Decision Support Using Large Language Models and Constraint Programming
A critical factor in the success of many decision support systems is the accurate modeling of
user preferences. Psychology research has demonstrated that users often develop their …
user preferences. Psychology research has demonstrated that users often develop their …
On the interdependence of reliance behavior and accuracy in AI-assisted decision-making
In AI-assisted decision-making, a central promise of putting a human in the loop is that they
should be able to complement the AI system by adhering to its correct and overriding its …
should be able to complement the AI system by adhering to its correct and overriding its …
Explaining the unexplainable: The impact of misleading explanations on trust in unreliable predictions for hardly assessable tasks
To increase trust in systems, engineers strive to create explanations that are as accurate as
possible. However, if the system's accuracy is compromised, providing explanations for its …
possible. However, if the system's accuracy is compromised, providing explanations for its …
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial …
Abstract Explainable Artificial Intelligence (XAI) is a pivotal research domain aimed at
clarifying AI systems, particularly those considered “black boxes” due to their complex …
clarifying AI systems, particularly those considered “black boxes” due to their complex …