HAI Weekly Seminar with Vinay Uday Prabhu - On the four horsemen of ethical malice in peer reviewed machine learning literature
Biography: Vinay Prabhu is currently the Chief Scientist at UnifyID Inc, where he leads efforts towards architecting and deploying the state-of-the-art passive mobile biometrics solution by bringing together machine learning algorithms and smart-sensor data to model the human behind the device. Prior to his work at UnifyID Inc, he was a Data Scientist at Albeado. He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.
Abstract: The thawing of the AI winter and the subsequent deep learning revolution has been marked by large scale open-source-driven democratization efforts and a paper publishing frenzy. As we navigate through this massive corpus of technical literature, four categories of ethical transgressions come to fore: Dataset curation, Modeling, Problem definitions and sycophantic tech-journalism. In this talk, we will explore specific examples in each of these categories with a strong focus on computer vision. The goal of this talk is to not just demonstrate the widespread usage of these datasets and models, but to also elicit a commitment from the attending scholars to either not use these datasets or models, or to insert an ethical caveat in case of unavoidable usage.