summerscope / mapping-fair-ml

😇A curated list of links and resources for Fair ML and Data Ethics

Mapping Fair ML

This is a working list of resources for people working with technology ethics. It has an Australian slant as that reflects my networks, and I'll work on adding some intros / shaping to the links. Pull requests and suggestions welcome.

Table of contents

1. Reading Groups
2. Book Clubs
3. Newsletters
4. Free online courses
5. Advocacy and Non-profits
6. Academic papers
7. Data policy
8. ML UX
9. Bias and harm mapping
10. Cognitive Bias
11. Incident mapping
12. Comics
13. Lists
14. Books
15. Tools

Reading groups

Fair ML Reading Group
https://github.com/summerscope/fair-ml-reading-group
https://groups.io/g/fair-ml

Montreal AI Ethics Institute - Reading Groups x 5 Themes
https://montrealethics.ai/learning-community/

Book Clubs

AI Collaborative Network - Ethics Book Club
https://www.collaborativenetwork.ai/
https://github.com/ofchurches/AI_ethics_bookclub/wiki
Join slack to join the book club

Newsletters

Montreal AI Ethics Institute
https://aiethics.substack.com/

The New Design Congress
https://ndc.substack.com/subscribe

AI + Ethics Weekly
https://lighthouse3.com/newsletter/

CAIDE - Centre for Artificial Intelligence and Digital Ethics (University of Melbourne)
https://law.unimelb.edu.au/centres/caide
Join mailing list:
https://law.unimelb.edu.au/centres/caide/contact-us/join-our-mailing-list

Free online courses

Kaggle course: Intro to AI Ethics
https://www.kaggle.com/learn/intro-to-ai-ethics

Fast AI: Practical Data Ethics
https://ethics.fast.ai/

Calmcode: An Introduction to Scikit-Learn with an Ethics Warning
https://calmcode.io/scikit-learn/introduction.html

Advocacy and Non-profits

Algorithm watch
https://algorithmwatch.org/

The New Design Congress
https://newdesigncongress.org/

Responsible Technology Australia
https://responsibletechnology.org.au/

Algorithmic Justice League
https://www.ajlunited.org/

The Ethics Centre
https://ethics.org.au/

Academic papers

fairXiv (fair • kive)
https://fairxiv.org

Data policy

Data Governance
Kate Caruthers (et al)
https://www.datagovernance.unsw.edu.au/

ODI - Data Ethics Canvas
https://theodi.org/article/data-ethics-canvas/

Treaty of Waitangi/Te Tiriti and Māori Ethics Guidelines for: AI, Algorithms, Data and IOT
https://www.taiuru.maori.nz/tiritiethicalguide/

DEON
An ethics checklist for data scientists
deon is a command line tool that allows you to easily add an ethics checklist to your data science projects. We support creating a new, standalone checklist file or appending a checklist to an existing analysis in many common formats.
https://deon.drivendata.org/

ML UX

HAX Design Library
Guidlines, design pattern libraries and examples.
https://www.microsoft.com/en-us/haxtoolkit/library/
Intro presentation video

Bias and harm mapping

Consequence Scanning
https://www.doteveryone.org.uk/project/consequence-scanning/

Ethics Litmus Tests
https://www.ethical-litmus.site/

The Tarot Cards of Tech
https://www.artefactgroup.com/case-studies/the-tarot-cards-of-tech/

IDEO AI Ethics Cards
https://www.ideo.com/post/ai-ethics-collaborative-activities-for-designers

33A AI Ethics Cards
https://www.33a.ai/ethics-1

Markkula Centre for Applied Ethics - Ethics Toolkit
https://www.scu.edu/ethics-in-technology-practice/ethical-toolkit/

Ethics Explorer Toolkit - OMIDYAR Network
https://ethicalexplorer.org/download/

The Designated Dissenter
https://www.thedesignateddissenter.com/

AI Blind Spots - card pack
https://aiblindspot.media.mit.edu/

Cards for humanity
https://cardsforhumanity.idean.com/

The Black Mirror Test (podcast)
https://www.mindtheproduct.com/the-black-mirror-test-roisi-proven-on-the-product-experience/

Black Mirror Speculation
https://howwegettonext.com/the-black-mirror-writers-room-teaching-technology-ethics-through-speculation-f1a9e2deccf4

Black Mirror Brainstorm - a product design exercise
https://uxdesign.cc/black-mirror-brainstorms-f919ccf5938c

Incident Mapping

AI Incident Database (AIID)
https://www.partnershiponai.org/aiincidentdatabase/
https://incidentdatabase.ai/

Awful AI
https://github.com/daviddao/awful-ai

Cognitive Bias

Microaggressions - the game
https://www.csteachingtips.org/cards

Mental Models Weekly
Julia Clavien breaks down cognitive bias and other mental models in this excellent newsletter.
http://www.mmweekly.com/

Comics

Data, Responsibly
A comic series by Falaah Arif Khan and Julia Stoyanovich
https://dataresponsibly.github.io/comics/

Lists

Awesome AI Guidelines
This repository aims to simplify this by mapping the ecosystem of guidelines, principles, codes of ethics, standards and regulation being put in place around artificial intelligence.
https://github.com/EthicalML/awesome-artificial-intelligence-guidelines

Books

AI Ethics by Mark Coeckelbergh
An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.
https://mitpress.mit.edu/books/ai-ethics

Tools

FairLearn
A scikit-learn compatible toolkit to assess and mitigate fairness issues.
https://fairlearn.org/