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Browse materialsMIT RES.EC-001 · Spring 2020

Exploring Fairness in Machine Learning for International Development

Subjects: Artificial Intelligence · Machine Learning

Art: Detroit Publishing Co., Low Library2, between… · Public domain

Instructors
Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana
Term
Spring 2020
Level
Non-Credit
What's inside
9 videos · 17 other files · 12 web pages
Materials open
Videos here · files on MIT OCW

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About this course

Source: MIT OpenCourseWare RES.EC-001 Exploring Fairness in Machine Learning for International Development, Spring 2020, Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.

Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

What's here, and what isn't

  • This course has 8 videos, each embedded on its own MIT page, across 8 sections. They're shown in MIT's listing order within each section. A verified course-wide order is not claimed for this course.

Not included here

18 items from the source could not be safely included:

  • MIT's page format for this item wasn't recognized clearly enough to place it safely. (18 items)

Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Module 1: Introduction to Ethics in Machine Learning

Background

Module 2: Examples of Ethical Challenges in ML

USAID Appropriate Use Framework

Solar Lighting Example

Module 3: Pedagogical Framework for Addressing Ethical Challenges

Protected Attributes and Fairness through Unawareness

Fairness Criteria

Module 4: Case Studies with Data

Mitigating Gender Bias

Case Study on Pulmonary Health

Demographic Bias in NLP

Other materials from this course

9 video transcripts
13 images

MIT OpenCourseWare, Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana, RES.EC-001 Exploring Fairness in Machine Learning for International Development, Spring 2020.

License: CC BY-NC-SA 4.0 · Edition: Spring 2020 · Open the original course on OCW ↗

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