Now showing
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
About this film
Instructor: Dan Frey View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX In an effort to build the capacity of the students and faculty on the topics of bias and fairness in machine learning (ML) and appropriate use of ML, the MIT CITE team is developing capacity building activities and materials including videos and supplemental materials. In total, the team will cover content through four modules that could be integrated into existing courses over a one to two week period. The broader goal is to bring awareness and potentially investment to ML, bias, and fairness issues, especially in developing countries. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW‚ YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments .
Directors & creators
MIT OpenCourseWare
Subjects
machine learning, ethics, fairness, bias, case study, pedagogy, framework, ethical challenges, artificial intelligence
More from this pool