AIMC Topic: Decision Making

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Predicting human decision-making across task conditions via individuality transfer.

eLife
Predicting an individual's behavior in one task condition based on their behavior in a different condition is a key challenge in modeling individual decision-making tendencies. We propose a novel framework that addresses this challenge by leveraging ...

To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

PloS one
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential non-, under- or delayed treatment. Owner knowledge and perceptions are recognised as key influences...

Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI)-enabled devices are increasingly used in health care. However, there has been limited research on patients' informational preferences, including which elements of AI device labeling enhance patient understandi...

Primate-informed neural network for visual decision-making.

Proceedings of the National Academy of Sciences of the United States of America
The human brain excels at complex tasks with remarkable efficiency, adaptability, and resilience, making it a powerful source of inspiration for AI. Here, we present a neural dynamics model inspired by the primate dorsal visual pathway, a circuit cru...

Understanding the influence of design-related factors on human-AI teaming in a face matching task.

Cognitive research: principles and implications
There has been a steep rise in the use of decision aids enabled by artificial intelligence (AI) for facial identity verification. The use of such systems and the impact of their implementation on human decision-making is still not well understood. Th...

Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye.

BMC medical ethics
BACKGROUND: Ethical decision-making in child and adolescent psychiatry (CAP) is inherently complex, shaped by developmental vulnerability, evolving autonomy, and competing responsibilities to patients, families, and the legal system. Clinicians often...

Automating Life Cycle Assessments through Artificial Intelligence Agents and Integrated Assessment Models.

Environmental science & technology
Life cycle assessments (LCA) are a critical decision support tool for environmentally sustainable decision-making, but barriers such as time and resource intensity inhibit widespread application of LCA. To overcome these challenges, LCAs have been pa...

Applications of newly defined diamond Pythagorean fuzzy CODAS method via multi-criteria decision-making problems.

PloS one
The diverse decision values may fail to capture an accurate perspective when multiple decision-makers are part of the process. To address this challenge, this work introduces the diamond Pythagorean fuzzy set (Dia‑PyFS), an advancement over both the ...

Culturally-attuned AI: Implicit learning of altruistic cultural values through inverse reinforcement learning.

PloS one
Constructing a universal moral code for artificial intelligence (AI) is challenging because human cultures have different values, norms, and social practices. We therefore argue that AI systems should adapt to culture based on observation: Just as a ...

Modelling the quantum-like dynamics of human reliability ratings in human-AI interactions by interaction-dependent Hamiltonians.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
We are rapidly moving to a future in which our information environment is saturated by artificial intelligence (AI), and humans and AI agents will routinely engage in shared decision making even in conditions of high uncertainty and risk (such as nat...