The term “machine learning”
IBM researcher Arthur Samuel develops a checkers program that improves by playing repeatedly and uses the term “machine learning”.
Room 3, 1959–today
How a machine learns
In machine learning, we do not write every rule. We give the machine examples and let it find patterns. Whatever is present in those examples, useful or distorted, can pass into the model.
Open the interactive room →Exhibits in this room
ImageNet
Fei-Fei Li’s team creates a huge database of millions of labelled images. It becomes clear that the quantity and quality of data can matter as much as the algorithm.
Gender Shades
Joy Buolamwini and Timnit Gebru show that commercial face-analysis systems make far more errors for darker-skinned women than for lighter-skinned men. The result exposes the consequences of unrepresentative data and uneven system performance.
A hiring tool that was abandoned
Reports reveal that Amazon dropped an experimental résumé-ranking system after it had learned from historical data to disadvantage women applicants.