# How to See like a Machine **Author:** Sarah Cowan, Museum of Modern Art (MoMA) **Published:** 14 March 2023 **Length:** Video essay (duration unavailable) ## In Summary MoMA explores how artists engage critically and creatively with artificial intelligence and machine learning. Featuring Kate Crawford, Trevor Paglen and Refik Anadol, alongside curators Paola Antonelli and Michelle Kuo, the film examines surveillance datasets, algorithmic classification and generative art. Paglen exposes the assumptions embedded in machine vision, while Anadol explores how AI interprets MoMA's collection through his installation _Unsupervised_. The discussion positions artists as essential contributors to debates about technological power, representation and the future of creativity. **Source:** [https://www.moma.org/magazine/articles/864](https://www.moma.org/magazine/articles/864) ## What might this mean for us? How might Higher Education draw on artistic practice to question how machines classify, interpret and generate culture? Electric Dreams' engagement with _Calculating Empires_ offers a complementary historical perspective. Could examining works by Paglen and Anadol help students explore the relationship between datasets, technological agency and creative authorship, while recognising artists as active participants in shaping emerging technologies? ## Links in this reading - [Watch](https://youtu.be/G2XdZIC3AM8) _[How to See like a Machine](https://youtu.be/G2XdZIC3AM8)_[, MoMA on YouTube](https://youtu.be/G2XdZIC3AM8) - [Play with AI, K Allado-McDowell, MoMA](https://www.moma.org/magazine/articles/864) - [Refik Anadol on AI, Algorithms, and the Machine as Witness, MoMA](https://www.moma.org/magazine/articles/864)