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Accompanying website for the course on "AI and Ethics" for Spring 2025-26
Announcements
Announcements
[NEW] Website is OPEN.
This is a research-oriented course that would require students to understand several CS research papers. There will be assignments and a term project that needs to be done using Python/Java. It is advisable to take this course only if you have the necessary background (see below).
In assignments or projects -- plagiarism in any form -- copying from other students or from online resources -- will be severely penalized.
Instructors
Instructors
Animesh Mukherjee (Email: animeshm@cse.iitkgp.ac.in)
Teaching Assistants
Teaching Assistants
Sagnik Basu (sagnikbasu19@gmail.com)
Subhankar Swain (subhankar.official185@gmail.com)
Subhrajit Mitra (subhrajitmitra.24@kgpian.iitkgp.ac.in)
Class Timings and Venue
Class Timings and Venue
Monday 08:15--10:00
Tuesday 12:00--12:55
Classroom: 107
Pre-requisites for the course
Pre-requisites for the course
Data structures and algorithms
Probability and Statistics
Basics of Machine Learning
Programming in Python/Java (there will be a programming-based term project)
Course Evaluation [Final]
Course Evaluation [Final]
Midsem: 20%
Endsem: 40%
Assignment: 25%
Random attendance: 15%
Broad topics
Broad topics
Discrimination and bias definitions
Definition of fairness and their relations
ProPublica report
Gender Shades
Legal system, VLMs
Fair classification
Fair regression
Fair clustering
Fair embedding
Fair ranking
Interpretabilty + Explainability
Fairness in recommendation (e-commerce)
FairRec
Incremental fairness in markets
Fainess in food delivery
Text and Reference Literature (I will not follow any textbook in this course! But you can use some of the books below as references)
Text and Reference Literature (I will not follow any textbook in this course! But you can use some of the books below as references)
AI and Ethics: A computational perspective, Animesh Mukherjee
The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Aaron Roth and Michael Kearns
Rebooting AI: Building Artificial Intelligence We Can Trust by Ernest Davis and Gary Marcus
Human Compatible: AI and the Problem of Control by Stuart J. Russell
Towards a Code of Ethics for Artificial Intelligence by Paula Boddington
Moral machines by Wendell Wallach
AI Ethics by Mark Coeckelbergh
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