AI's Role in Art Attribution Challenges Human Expertise
The attribution of artworks serves as a critical foundation for both economic valuation and cultural understanding, with implications for pricing stability and historical narratives. This process relies heavily on human qualities like judgment, intuition, and specialized training, yet is also susceptible to inherent biases. A recent essay explores whether artificial intelligence could potentially assume the role traditionally held by art experts in determining the authorship of paintings. The discussion examines how technological systems might interact with or replace the deeply human aspects of connoisseurship that have long defined art historical scholarship.
Key facts
- Art attribution is fundamental to economic and cultural structures
- Without attribution, art prices can collapse
- Attribution prevents catalogues from unraveling
- Historical narratives depend on attribution for coherence
- Attribution involves human judgment and intuition
- The process is shaped by training and inevitable bias
- An essay questions if AI could replace human experts in attribution
- The discussion focuses on AI's potential role in attributing paintings
Entities
Institutions
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