Computer Science 692C - S-Equitable & Explainable A.I.

Fall
2021
01
1.00
Przemyslaw Adam Grabowicz

W 10:10AM 11:25AM

UMass Amherst
23427
Computer Science Bldg rm 140
pgrabowicz@umass.edu
This seminar will focus on recent research into equitable and transparent algorithms and systems. We will review cutting-edge research that supports the properties of fairness, accountability, and transparency across various research areas, in particular fair machine learning, explainable artificial intelligence, and their interdisciplinary underpinnings. The seminar will offer introductory lectures describing the origins of relevant research problems, highlighting major threads and approaches in this vivid research space, and describing the relations between them. The course will primarily involve reading and discussing papers and book chapters.

Open to Graduate Computer Science students only. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.

Permission is required for interchange registration during the add/drop period only.