Back

AI and Art Authentication

November 15, 2025

Proliferation of artificial intelligence tools and models and the rise of AI tools in art authentication, prompted formation of the following framework for responsible use of AI in Art Authentication. Proposed as best practices guidelines, the following builds on four foundational principles: transparency, accountability, scientific rigor, and human-AI collaboration. This framework addresses both the technical development of AI systems and their practical adoption by art market participants, scholars, and cultural institutions. By requiring developers to disclose methodologies and training data in accessible language while demanding active collaboration with art experts throughout the AI lifecycle, the framework ensures that computational capabilities enhance rather than disrupt established authentication practices. Designed to be dynamic and adaptive, it evolves alongside technological innovation, legal developments, and academic research, ultimately aiming to safeguard artistic legacies, scholarly integrity, and cultural heritage while leveraging AI’s ability to detect patterns and process vast datasets in support of attribution decisions.