How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
B Fresz, E Dubovitskaya, D Brajovic… - Proceedings of the …, 2024 - ojs.aaai.org
This paper investigates the relationship between law and eXplainable Artificial Intelligence
(XAI). While there is much discussion about the AI Act, which was adopted by the European …
(XAI). While there is much discussion about the AI Act, which was adopted by the European …
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?
Abstract Concepts are an important construct in semantics, based on which humans
understand the world with various levels of abstraction. With the recent advances in …
understand the world with various levels of abstraction. With the recent advances in …
[HTML][HTML] The efficiency-accountability tradeoff in AI integration: Effects on human performance and over-reliance
N Spatola - Computers in Human Behavior: Artificial Humans, 2024 - Elsevier
As artificial intelligence proliferates across various sectors, it is crucial to explore the
psychological impacts of over-reliance on these systems. This study examines how different …
psychological impacts of over-reliance on these systems. This study examines how different …
Integrating Evidence into the Design of XAI and AI-based Decision Support Systems: A Means-End Framework for End-users in Construction
P Love, J Matthews, W Fang… - arxiv preprint arxiv …, 2024 - arxiv.org
A narrative review is used to develop a theoretical evidence-based means-end framework to
build an epistemic foundation to uphold explainable artificial intelligence instruments so that …
build an epistemic foundation to uphold explainable artificial intelligence instruments so that …
Towards the new xai: A hypothesis-driven approach to decision support using evidence
Prior research on AI-assisted human decision-making has explored several different
explainable AI (XAI) approaches. A recent paper has proposed a paradigm shift calling for …
explainable AI (XAI) approaches. A recent paper has proposed a paradigm shift calling for …
A Survey of AI Reliance
Artificial intelligence (AI) systems have become an indispensable component of modern
technology. However, research on human behavioral responses is lagging behind, ie, the …
technology. However, research on human behavioral responses is lagging behind, ie, the …
[HTML][HTML] An interdisciplinary perspective on AI-supported decision making in medicine
Artificial intelligence (AI)-supported medical diagnosis offers the potential to utilize the
collaborative intelligence of context-sensitive humans and narrowly focused machines for …
collaborative intelligence of context-sensitive humans and narrowly focused machines for …
" I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition
Facial expression recognition (FER) has emerged as a promising approach to the
development of emotion-aware intelligent systems. The performance of FER in multiple …
development of emotion-aware intelligent systems. The performance of FER in multiple …
Visual evaluative ai: A hypothesis-driven tool with concept-based explanations and weight of evidence
This paper presents Visual Evaluative AI, a decision aid that provides positive and negative
evidence from image data for a given hypothesis. This tool finds high-level human concepts …
evidence from image data for a given hypothesis. This tool finds high-level human concepts …
Towards reconciling usability and usefulness of policy explanations for sequential decision-making systems
Safefy-critical domains often employ autonomous agents which follow a sequential decision-
making setup, whereby the agent follows a policy to dictate the appropriate action at each …
making setup, whereby the agent follows a policy to dictate the appropriate action at each …