Computer vision has escalated its impact on artificial intelligence research, according to the 2022 AI Index Report from Stanford University. In fact, the report calls out an increased interest in "computer vision subtasks, such as medical image segmentation and masked-face identification." But this shift in focus may mean a movement toward more practical applications, something the industry will see more of this year. As AI's intersection with computer science and engineering disciplines continues to climb, so, too, do the complications surrounding its implementation and use. At CVPR 2022, Josh Tennebaum, professor in the Department of Brain and Cognitive Sciences at MIT, discussed the ways the human brain processes information and how that experience extends beyond data inputs and evaluations.