RANSAC, a now widely referenced paradigm for robust computation in computer vision (a type of artificial intelligence used in image analysis), was introduced by SRI in 1981.
RANSAC interprets and smoothes data containing a significant percentage of gross errors, and is thus ideally suited for applications in automated image analysis where interpretation is based on the data provided by error-prone feature detectors.