A Survey on Human-AI Teaming with Large Pre-Trained Models
In the rapidly evolving landscape of artificial intelligence (AI), the collaboration between
human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a …
human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a …
Designing AI Support for Human Involvement in AI-assisted Decision Making: A Taxonomy of Human-AI Interactions from a Systematic Review
Efforts in levering Artificial Intelligence (AI) in decision support systems have
disproportionately focused on technological advancements, often overlooking the alignment …
disproportionately focused on technological advancements, often overlooking the alignment …
Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients
Shared decision making (SDM) plays a vital role in clinical practice guidelines, fostering
enduring therapeutic communication and patient-clinician relationships. Previous research …
enduring therapeutic communication and patient-clinician relationships. Previous research …
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
The field of eXplainable artificial intelligence (XAI) has produced a plethora of methods (eg,
saliency-maps) to gain insight into artificial intelligence (AI) models, and has exploded with …
saliency-maps) to gain insight into artificial intelligence (AI) models, and has exploded with …
Majority voting of doctors improves appropriateness of AI reliance in pathology
Abstract As Artificial Intelligence (AI) making advancements in medical decision-making,
there is a growing need to ensure doctors develop appropriate reliance on AI to avoid …
there is a growing need to ensure doctors develop appropriate reliance on AI to avoid …
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 …
Supporting Experts with a Multimodal Machine-Learning-Based Tool for Human Behavior Analysis of Conversational Videos
Multimodal scene search of conversations is essential for unlocking valuable insights into
social dynamics and enhancing our communication. While experts in conversational …
social dynamics and enhancing our communication. While experts in conversational …
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
This study explores the possibility of facilitating algorithmic decision-making by combining
interpretable artificial intelligence (XAI) techniques with sensor data, with the aim of …
interpretable artificial intelligence (XAI) techniques with sensor data, with the aim of …
Mapswipe for SDGs 3 & 13: take urgent cartographic action to combat heat vulnerability of manufactured and mobile home communities
MS Shakib, P Solís, K Varfalameyeva - International Journal of …, 2024 - Taylor & Francis
Our research has established the extent to which extreme heat disproportionately impacts
manufactured and mobile home communities (MMHC), posing challenges in achieving both …
manufactured and mobile home communities (MMHC), posing challenges in achieving both …
Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets
Standard datasets are frequently used to train and evaluate Machine Learning models.
However, the assumed standardness of these datasets leads to a lack of in-depth discussion …
However, the assumed standardness of these datasets leads to a lack of in-depth discussion …