Invited Talks
The Decision-Making Side of Machine Learning: Dynamical, Statistical and Economic Perspectives
TBA
Reflections from the Turing Award Winners
TBA
Machine Learning: Changing the future of healthcare
TBA
Doing for Our Robots What Nature Did For Us
TBA
2020 Vision: Reimagining the Default Settings of Technology & Society
From everyday apps to complex algorithms, technology has the potential to hide, speed, and even deepen discrimination, while appearing neutral and even benevolent when compared to racist practices of a previous era. In this talk, I explore a range of discriminatory designs that encode inequity: by explicitly amplifying racial hierarchies, by ignoring but thereby replicating social divisions, or by aiming to fix racial bias but ultimately doing quite the opposite. This presentation takes us into the world of biased bots, altruistic algorithms, and their many entanglements, and provides conceptual tools to decode tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold, but also the ones we manufacture ourselves.