S3: E5: The Human Element in Machine Learning w Catherine D Ignazio, Jacob Andreas Harini Suresh

When computer science was in its infancy, programmers quickly realized that though computers are astonishingly powerful tools, the results they achieve are only as good as the data you feed into them. (This principle was quickly formalized as GIGO: Garbage In, Garbage What was true in the era of the UNIVAC has proved still to be true in the era of machine learning: among other wellpublicized AI fiascos, chatbots that have interacted with bigots have learned to spew racist invective, while facialrecognition software trained solely on images of white people sometimes fails to recognize people of color as human. In this episode, we meet Prof. Catherine DIgnazio of MITs Department of Urban Studies and Planning (DUSP) and Prof. Jacob Andreas and Harini Suresh of the Department of Electrical Engineering and Computer Science. In 2021, DIgnazio, Andreas, and Suresh collaborated as part of the Social and Ethical Responsibilities of Computing initiative from the Schwartzman College of Computing in a projec