Intro to Data Ethics Certificate
We will explore urgent issues of data ethics, including bias and fairness, privacy and surveillance, and disinformation and manipulation, as well as foundations of ethics and connections with broader social trends and systems.
There are no prerequisites, although first-hand experience of working in the tech industry, as well as familiarity with current events will be helpful. All readings will be freely available online.
Intro to Data Ethics is taught by Rachel Thomas, co-founder of fast.ai and director of the Center for Applied Data Ethics (CADE) at USF. Rachel was selected by Forbes as one of 20 Incredible Women in AI, and is a popular writer and keynote speaker on topics of data ethics, AI accessibility, and bias in machine learning.
Watch a video of a recent info session to learn more about the Intro to Data Ethics certificate.