AIMC Topic: Decision Making

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An intelligent community-based system for healthcare prioritisation.

Scientific reports
Healthcare rationing is unavoidable in systems constrained by limited resources. While decisions about who should be treated are ethically complex, they must reflect not only efficiency concerns but also socially accepted values. This study aims to d...

Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems.

Scientific reports
The rapid development of artificial intelligence (AI) and machine learning (ML) has revolutionized computer technology, enabling it to make intelligent decisions, exhibit adaptive behavior, and foster synergistic human-AI environments. To ensure that...

Neurometabolic predictors of mental effort in the frontal cortex.

Translational psychiatry
Motivation drives individuals to overcome costs to achieve desired outcomes, such as rewards or avoidance of punishment, with significant variability across individuals. The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) ...

Assessing the performance of ChatGPT in medical ethical decision-making: a comparative study with USMLE-based scenarios.

Journal of medical ethics
INTRODUCTION: The integration of artificial intelligence (AI) into healthcare introduces innovative possibilities but raises ethical, legal and professional concerns. Assessing the performance of AI in core components of the United States Medical Lic...

After Harm: A Plea for Moral Repair after Algorithms Have Failed.

Science and engineering ethics
In response to growing concerns over the societal impacts of AI and algorithmic decision-making, current scholarly and legal efforts have mainly focused on identifying risks and implementing safeguards against harmful consequences, with regulations s...

Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies.

Proceedings of the National Academy of Sciences of the United States of America
The use of AI, or more generally data-driven algorithms, has become ubiquitous in today's society. Yet, in many cases and especially when stakes are high, humans still make final decisions. The critical question, therefore, is whether AI helps humans...

Investigating the role of AI explanations in lay individuals' comprehension of radiology reports: A metacognition lens.

PloS one
While there has been extensive research on techniques for explainable artificial intelligence (XAI) to enhance AI recommendations, the metacognitive processes in interacting with AI explanations remain underexplored. This study examines how AI explan...

Reinforcement learning at the interface of artificial intelligence and cognitive science.

Neuroscience
Reinforcement learning (RL) is a computational framework that models how agents learn from trial and error to make sequential decisions. Rooted in behavioural psychology, RL has become central to artificial intelligence and is increasingly applied in...

Prioritizing robots in intelligent manufacturing using q-rung orthopair fuzzy decision-making method and unknown weight information.

PloS one
The rapid evolution of intelligent manufacturing systems necessitates the integration of advanced robotics to meet increasing demands for productivity, precision, and adaptability. Robots play an indispensable role across a spectrum of operations, fr...

Neural correlates of metacognition in education: a machine learning approach.

Neuropsychologia
Metacognition, the ability to reflect and regulate one's cognitive processes, has been shown to play a role in various aspects of life, particularly in academic settings. While important steps have been made in uncovering the neural basis of metacogn...