Dr. Luther gave an invited presentation at the AAAI Fall Symposium on Artificial Intelligence and Work on November 8, 2019. The title of his presentation was, “Solving AI’s last-mile problem with crowds and experts.”
Dr. Luther’s position paper accompanying the presentation is available online. The abstract for the paper is as follows:
Visual search tasks, such as identifying an unknown person or location in a photo, are a crucial element of many forms of investigative work, from academic research, to journalism, to law enforcement. While AI techniques like computer vision can often quickly and accurately narrow down a large search space of thousands of possibilities to a shortlist of promising candidates, they usually cannot select the correct match(es) among those, a challenge known as the last-mile problem. We have developed an approach called crowd-augmented expert work to leverage the complementary strengths of human intelligence to solve the last-mile problem. We report on case studies developing and deploying two visual search tools, GroundTruth and Photo Sleuth, to illustrate this approach.
