Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Data-driven decision-making in modern healthcare underpins innovation and predictive
analytics in public health and clinical research. Synthetic data has shown promise in finance …
analytics in public health and clinical research. Synthetic data has shown promise in finance …
Generating synthetic data for medical imaging
Artificial intelligence (AI) models for medical imaging tasks, such as classification or
segmentation, require large and diverse datasets of images. However, due to privacy and …
segmentation, require large and diverse datasets of images. However, due to privacy and …
" Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Despite the proliferation of explainable AI (XAI) methods, little is understood about end-
users' explainability needs and behaviors around XAI explanations. To address this gap and …
users' explainability needs and behaviors around XAI explanations. To address this gap and …
Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …
AI and when to trust themselves. However, prior studies calibrated human trust only based …
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 …
Three challenges for AI-assisted decision-making
M Steyvers, A Kumar - Perspectives on Psychological …, 2024 - 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 …
AI knowledge: Improving AI delegation through human enablement
When collaborating with artificial intelligence (AI), humans can often delegate tasks to
leverage complementary AI competencies. However, humans often delegate inefficiently …
leverage complementary AI competencies. However, humans often delegate inefficiently …
Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction
Recent work has proposed artificial intelligence (AI) models that can learn to decide whether
to make a prediction for an instance of a task or to delegate it to a human by considering …
to make a prediction for an instance of a task or to delegate it to a human by considering …
Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain
The transformative impact of generative AI, extending beyond traditional AI, raises as array
of concerns including the replacement of human roles and AI misuse in an array of …
of concerns including the replacement of human roles and AI misuse in an array of …
Effective human-AI teams via learned natural language rules and onboarding
People are relying on AI agents to assist them with various tasks. The human must know
when to rely on the agent, collaborate with the agent, or ignore its suggestions. In this work …
when to rely on the agent, collaborate with the agent, or ignore its suggestions. In this work …