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
- Reading Groups
- Book Clubs
- Newsletters
- Free online courses
- Advocacy and Non-profits
- Academic papers
- Data policy
- ML UX
- Bias and harm mapping
- Cognitive Bias
- Incident mapping
- Comics
- Lists
- Books
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/
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
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
Kaggle course: Intro to AI Ethics
https://www.kaggle.com/learn/intro-to-ai-ethics
Fast AI: Practical Data Ethics
https://ethics.fast.ai/
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/
fairXiv (fair • kive)
https://fairxiv.org
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/
HAX Design Library
Guidlines, design pattern libraries and examples.
https://www.microsoft.com/en-us/haxtoolkit/library/
Intro presentation video
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
AI Incident Database (AIID)
https://www.partnershiponai.org/aiincidentdatabase/
https://incidentdatabase.ai/
Awful AI
https://github.com/daviddao/awful-ai
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/
Data, Responsibly
A comic series by Falaah Arif Khan and Julia Stoyanovich
https://dataresponsibly.github.io/comics/
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
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