Artificial intelligence faces the challenge of authenticating works of art: a new era for painting experts

The use of artificial intelligence in art authentication is transforming the field of art appraisal. Companies like Art Recognition use algorithms to estimate the likelihood of a work being authentic, challenging traditional methods and raising questions about the legitimacy of these algorithmic analyses. In 2025, for example, an analysis revealed that the « Lute Player » in Badminton House was likely a genuine Caravaggio, reigniting debates surrounding the attribution of artworks. This new technological era presents new challenges for experts but also offers opportunities to deepen our understanding of art history. Artificial intelligence (AI) is transforming the field of art authentication, providing powerful tools to determine the authenticity of disputed pieces. Through advanced algorithms, modern technologies are challenging traditional methods of appraisal, prompting professionals in the field to adapt to this new reality. However, the legitimacy of these innovations remains questionable, as evidenced by the recent case of the supposed Caravaggio, « The Lute Player, » which sparked debate among specialists. The emergence of AI technologies in art A decisive turning point is underway thanks to the rapid adoption of AI in art, with significant implications for the authentication of masterpieces. Companies like Art Recognition, based in Switzerland, specialize in algorithmic analysis to assess the likelihood of a work being authentic. For example, an analysis conducted in the fall of 2025 estimated that the « Lute Player » in Badminton House could be a genuine Caravaggio with an 87.5% probability. This demonstrates AI’s potential to provide rapid and objective verification for works whose authenticity has long been debated. The Challenges of Algorithmic AuthenticationDespite the clear advantages offered by these technologies, their legitimacy is sometimes questioned in the art world. A crucial aspect to consider is the variety and quality of the data used in these analyses. The algorithm must be fed a large and representative dataset to produce reliable results. Traditional experts, often wary of these innovations, emphasize that the human eye and specialized judgment remain essential in many cases. The challenge, therefore, lies in the ability to integrate these new technologies while preserving the human approach to expertise.

A necessary collaboration between AI and art experts

To fully leverage AI, it is essential to foster collaboration between technologists and art experts. By working together, these two groups can ensure that algorithms respect the historical and contextual significance of each artwork while reducing the risk of misclassification. AI can, for example, serve as an initial verification tool, leaving specialists to conduct a final, in-depth review. This synergy has the potential to revolutionize art authentication, offering greater accuracy and efficiency in identifying artworks.

A promising future with scalable tools

As AI researchers and art experts continue to grow in their collaboration, scalable tools are expected to further advance their accuracy and sophistication. Advances in machine learning and image processing will offer new opportunities to improve existing algorithms. This development will boost confidence in automated appraisals, with the potential to extend the accessibility of art authentication to a wider audience, facilitating the entry of new works into the market and forming a bridge between the world of classical art and that of technology.