Who Gets Credit for AI-Generated Art?

Area of Science:

• Cognitive Science
• Human-Computer Interaction
• Art and Technology Studies

Background:

• The sale of AI-generated art raises ethical questions about authorship, credit, and responsibility.
• Understanding public perception of artificial intelligence (AI) is crucial for navigating its integration into creative fields.

Purpose of the Study:

• To investigate how individual differences in perceiving AI anthropomorphicity influence credit and responsibility allocation in AI art creation.
• To examine the impact of framing AI as a tool versus an agent on these perceptions and their consequences for stakeholders.

Main Methods:

• Empirical study measuring individual differences in AI anthropomorphism perception.
• Experimental manipulation of language used to describe AI (tool vs. agent).
• Analysis of how these factors affect the allocation of credit and responsibility among human stakeholders.

Main Results:

• Significant heterogeneity exists in how individuals perceive AI anthropomorphicity.
• Perceptions of AI anthropomorphicity correlate with distinct allocations of responsibility to AI and credit to human collaborators.
• Framing AI as an agent, rather than a tool, significantly alters these attributions.

Conclusions:

• The degree to which AI is anthropomorphized has tangible consequences for assigning credit and responsibility in the context of AI-generated art.
• Careful consideration of language used to describe AI is essential to mitigate unintended consequences for artists and AI developers.
• Findings provide an empirical basis for developing frameworks for credit and responsibility in human-AI creative collaborations.