AI Medical Compendium Journal:
Nature human behaviour

Showing 11 to 20 of 42 articles

Psychological factors underlying attitudes toward AI tools.

Nature human behaviour
What are the psychological factors driving attitudes toward artificial intelligence (AI) tools, and how can resistance to AI systems be overcome when they are beneficial? Here we first organize the main sources of resistance into five main categories...

The positive-negative-competence (PNC) model of psychological responses to representations of robots.

Nature human behaviour
Robots are becoming an increasingly prominent part of society. Despite their growing importance, there exists no overarching model that synthesizes people's psychological reactions to robots and identifies what factors shape them. To address this, we...

Self-orienting in human and machine learning.

Nature human behaviour
A current proposal for a computational notion of self is a representation of one's body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientatio...

Accelerating science with human-aware artificial intelligence.

Nature human behaviour
Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically ignore the human scientists who continually alter the landscape of discovery. Here we ...

Sensory perception relies on fitness-maximizing codes.

Nature human behaviour
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perhaps counterintuitively, accurate sensory representations may not necessarily maximize the organism's...

Evidence of a predictive coding hierarchy in the human brain listening to speech.

Nature human behaviour
Considerable progress has recently been made in natural language processing: deep learning algorithms are increasingly able to generate, summarize, translate and classify texts. Yet, these language models still fail to match the language abilities of...

Deep learning reveals what vocal bursts express in different cultures.

Nature human behaviour
Human social life is rich with sighs, chuckles, shrieks and other emotional vocalizations, called 'vocal bursts'. Nevertheless, the meaning of vocal bursts across cultures is only beginning to be understood. Here, we combined large-scale experimental...

Intuitive physics learning in a deep-learning model inspired by developmental psychology.

Nature human behaviour
'Intuitive physics' enables our pragmatic engagement with the physical world and forms a key component of 'common sense' aspects of thought. Current artificial intelligence systems pale in their understanding of intuitive physics, in comparison to ev...

Human-centred mechanism design with Democratic AI.

Nature human behaviour
Building artificial intelligence (AI) that aligns with human values is an unsolved problem. Here we developed a human-in-the-loop research pipeline called Democratic AI, in which reinforcement learning is used to design a social mechanism that humans...

Event-level prediction of urban crime reveals a signature of enforcement bias in US cities.

Nature human behaviour
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with...