Panel: THE TRACKED & THE INVISIBLE: From Biometric Surveillance to Diversity in Data Science

AI TRAPS: Automating Discrimination The Art of Exposing Injustice - Part 2 The 16th conference of the Disruption Network Lab Adam Harvey (Artist and Researcher, US/DE), Sophie Searcy (Senior Data Scientist at Metis, US). Moderated by Adriana Groh (Head of Program Management, Prototype Fund, DE). Examples abound of AI creating harmful effects and it is good to track and understand these examples. But the next step is harder: how do the practitioners of AI improve what comes next and avoid ever worse and ever bigger “AI catastrophes”? Adam Harvey will present a very concrete art and research project, investigating the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies. He will present the latest developments of his project megapixels.cc, showcasing new research on how images posted to Flickr have been used by academic, commercial, and even defense and intelligence agencies around the world for research and development of facial recognition technologies. Drawing on her teaching work on AI ethics and cultural diversity, Sophie Searcy will discuss the fundamental problems underlying the design and implementation of AI and consider how those problems impact to real-world case studies. She will stress out the importance to foster an equal and representative data science community filled with individuals of all technical, educational, and personal backgrounds, understanding the implications of the effect of data science on society at large. https://www.disruptionlab.org/ai-traps Photo Credit: Maria Silvano Produced by Voice Republic For more podcasts visit http://voicerepublic.com