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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 …
[PDF][PDF] Overreliance on AI literature review
This report synthesizes~ 60 research papers about overreliance on AI. The papers originate
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
Large language models are few-shot clinical information extractors
A long-running goal of the clinical NLP community is the extraction of important variables
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
The role of explainable AI in the context of the AI Act
The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …
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 …
Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems
The field of eXplainable Artificial Intelligence (XAI) focuses on providing explanations for AI
systems' decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) …
systems' decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) …
[HTML][HTML] BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
In this paper, we developed BreastScreening-AI within two scenarios for the classification of
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
You complete me: Human-ai teams and complementary expertise
People consider recommendations from AI systems in diverse domains ranging from
recognizing tumors in medical images to deciding which shoes look cute with an outfit …
recognizing tumors in medical images to deciding which shoes look cute with an outfit …
How does HCI understand human agency and autonomy?
Human agency and autonomy have always been fundamental concepts in HCI. New
developments, including ubiquitous AI and the growing integration of technologies into our …
developments, including ubiquitous AI and the growing integration of technologies into our …
Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts
Although large language models (LLMs) have demonstrated impressive potential on simple
tasks, their breadth of scope, lack of transparency, and insufficient controllability can make …
tasks, their breadth of scope, lack of transparency, and insufficient controllability can make …