Can We Train Computers to See in Better and Unbiased Ways?

Explore the challenges of visual perception in the digital age and the potential for training computers to see without bias in this thought-provoking TEDx talk. Delve into the concept of visual ethics in AI Computer Vision as Dr. Hatem N. Akil, a Professor of English and interdisciplinary scholar, presents an invitation for an interdisciplinary approach to addressing these issues. Examine how modern humans have lost confidence in the reliability of visual content and consider the implications of visual bias in our increasingly image-saturated world. Learn about Dr. Akil's research on cross-cultural visual perception and his book, "The Visual Divide," which explores how individuals engage in visual bias through imagination and memory rather than pure observation. Gain insights into the intersection of critical theory, film production, cinema studies, digital humanities, and visual culture as you contemplate the future of visual perception in both human and artificial intelligence contexts.

Can We Train Computers to See in Better and Unbiased Ways? | Hatem N. Akil | TEDxOcala