AI Art Authentication Sparks Debate as Models Disagree on Raphael Painting

Two AI models, from Bradford University and Art Recognition, produced conflicting results when authenticating a Raphael painting. This sparked debate about AI's role in art authentication.

The models use different approaches Bradford's focuses on facial recognition, while Art Recognition considers artistic elements like brushstrokes.

Factors like training data size and testing rigor impact reliability. More transparency and accountability are needed as AI's influence grows.

AI should complement, not replace, art experts. Rigorous peer review is important before AI becomes a market tool.

Ongoing discourse will shape how stakeholders employ AI authentication, as the technology continues evolving.