Calling Bullshit 5 6 Algorithmic Ethics

Summary

We discuss gender and racial biases inherent to many of the machine learning Please join us for the first lecture in our four-part series with the Center for an Informed Public. Jevin West and Carl Bergstrom will ... To illustrate the garbage-in garbage-out principle, we delve into a recent paper that purports to automatically infer criminality using ... By binning data in different ways, bar charts can be made to tell very different stories. Here we consider an example from the Wall ... Ned Hayes GlueCon breakout session 2018: ethical considerations in software design, AI prognostications, religion, culture and ... What do our algorithms say about our society? In this talk, social scientist Safiya Umoja Noble investigates the bias revealed in ... Jevin discusses how spreadsheet errors reversed the conclusions of a high-profile paper that was used to justify austerity ... We look at how manipulative experiments can be used to work out the direction of causation in correlated variables, and sum up ... Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing ... Back in 2009, when Safiya Noble, a visiting professor, conducted a Google search using keywords "black girls," "latina girls," and ... More at philosophytalk.org/shows/morality-algorithms. Recent years have see the rise of machine learning alogrithms, ... Gah-Yi Ban's talk hopes to help us understand the role of algorithms in our present lives, and how we can shape their role in our ... In this video I outline how AI can be built into an assessment design. I also provide Measuring discrimination that can be caused by data-driven algorithms, and finding ways to mitigate it has been one of the most ...