AIMC Topic: Decision Making

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When Do Humans Heed AI Agents' Advice? When Should They?

Human factors
OBJECTIVE: We manipulate the presence, skill, and display of artificial intelligence (AI) recommendations in a strategy game to measure their effect on users' performance.

Thinking about God increases acceptance of artificial intelligence in decision-making.

Proceedings of the National Academy of Sciences of the United States of America
Thinking about God promotes greater acceptance of Artificial intelligence (AI)-based recommendations. Eight preregistered experiments ( = 2,462) reveal that when God is salient, people are more willing to consider AI-based recommendations than when G...

Psychological AI: Designing Algorithms Informed by Human Psychology.

Perspectives on psychological science : a journal of the Association for Psychological Science
Psychological artificial intelligence (AI) applies insights from psychology to design computer algorithms. Its core domain is decision-making under uncertainty, that is, ill-defined situations that can change in unexpected ways rather than well-defin...

Smart self-propelled particles: a framework to investigate the cognitive bases of movement.

Journal of the Royal Society, Interface
Decision-making and movement of single animals or group of animals are often treated and investigated as separate processes. However, many decisions are taken while moving in a given space. In other words, both processes are optimized at the same tim...

Three Challenges for AI-Assisted Decision-Making.

Perspectives on psychological science : a journal of the Association for Psychological Science
Artificial intelligence (AI) has the potential to improve human decision-making by providing decision recommendations and problem-relevant information to assist human decision-makers. However, the full realization of the potential of human-AI collabo...

Bridging adaptive management and reinforcement learning for more robust decisions.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
From out-competing grandmasters in chess to informing high-stakes healthcare decisions, emerging methods from artificial intelligence are increasingly capable of making complex and strategic decisions in diverse, high-dimensional and uncertain situat...

Artificial intelligence in vascular surgical decision making.

Seminars in vascular surgery
Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management...

Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions.

Artificial intelligence in medicine
Traditional Chinese medicine (TCM) has gradually played an indispensable role in people's health maintenance, especially in the treatment of chronic diseases. However, there is always uncertainty and hesitation in the judgment and understanding of di...

From Big Data's 5Vs to clinical practice's 5Ws: enhancing data-driven decision making in healthcare.

Journal of clinical monitoring and computing
The use of AI-based algorithms is rapidly growing in healthcare, but there is still an ongoing debate about how to manage and ensure accountability for their clinical use. While most of the studies focus on demonstrating a good algorithm performance ...