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Algorithmic aesthetics: Cognitive perspectives on AI-generated visual art.

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Summary
This summary is machine-generated.

People show bias against AI-generated art due to its artificial origins. This study explores the reasons for this bias and its implications for the future acceptance of artificial intelligence in art.

Keywords:
Artificial intelligenceHuman-level artificial intelligenceResearch methodology social sciencesSocial sciences

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Area of Science:

  • Neuroaesthetics
  • Social Cognition
  • Human-Machine Interaction

Background:

  • Generative artificial intelligence (AI) is increasingly used in art creation, from exhibitions to auctions.
  • Despite AI art's prevalence, empirical evidence shows a bias against it when its origin is known.
  • This bias poses questions about the future acceptance and celebration of AI-generated art.

Purpose of the Study:

  • To investigate the underlying reasons for public bias against AI-generated visual art.
  • To determine if this bias hinders the eventual acceptance and celebration of AI art.
  • To develop evidence-based propositions for understanding the human-AI art relationship.

Main Methods:

  • Synthesizing empirical evidence from neuroaesthetics, social cognition, art history, and human-machine interaction.
  • Developing novel perspectives on AI art bias rooted in social cognitive neuroscience.
  • Proposing new avenues for empirical evaluation of AI art acceptance.

Main Results:

  • Identified a clear public bias against AI-generated visual art when its artificial origin is disclosed.
  • Highlighted the need for further research into the psychological and social factors influencing AI art perception.
  • Established a framework for understanding AI art acceptance through a social cognitive neuroscience lens.

Conclusions:

  • The bias against AI art is a significant factor influencing its reception.
  • Understanding the cognitive and social underpinnings of this bias is crucial for its potential mitigation.
  • Further empirical research is needed to fully grasp the complex relationship between humans and AI in the realm of art.