Episode Details

Step into the MIT Keller Gallery’s “Beyond Data-Driven Aesthetics,” where algorithms, computation, and machine learning reveal their hidden hand in shaping beauty and style across architecture and design—from mid-century AI pioneers to today’s AI hype. Through five immersive sections—Aesthetic Measure, Guidelines, Algorithmic Aesthetics, Appropriation, and Novelty—creator Alexandros Haridis transforms dense academic theories into tangible, interactive installations. It’s not just about AI’s future; it’s a deep dive into its past, showing how computational evaluation of beauty has evolved for decades. This exhibit turns invisible logic into visible art, challenging us to rethink how machines judge, create, and redefine aesthetics.

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