AI Ethics and UX Resources

Resources on improving user experiences (UX) for artificial intelligence (AI) with regard to ethics, diversity and inclusion are compiled here. These resources are primarily related to machine learning, but can be used for any technologies.

I’ll continue to add to this as I accumulate more.

Updated: December 11, 2020

Curiosity Activating UX Activities

Abusability Testing: Article describing the Abusability Testing workshop organized by Anna Abovyan, Theora Kvitka and Allison Cosby of the Pittsburgh IxDA Chapter for World Interaction Design Day 2019.

“Black Mirror” Episodes: Black Mirror, Light Mirror: Teaching Technology Ethics Through Speculation. By Casey Fiesler. Oct 15, 2018.

Implicit Association Test (IAT): via Harvard University.

Tools for Supporting Ethical AI

Datasheets for Datasets

Ethics checklist for data scientists by Deon.

Lists of Additional Resources

Awful AI Curated list to track current scary usages of AI — hoping to raise awareness to its misuses in society by David Dao

List of ethics articles on Medium by Eirini Malliaraki

Machine Learning and User Experience: A Few Resources by Michelle Carney

Mapping of ethical principlesPrincipled Artificial Intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI by Jessica Fjeld and Adam Nagy, Harvard University — Download the visualization!

Tech Ethics in The News — updated weekly from students in Casey Fiesler’s Information Ethics and Policy classes at CU Boulder.

Organizations and Newsletters

AI Now Institute

Algorithm Watch newsletter

Ethical OS

Lighthouse3 weekly Ethics newsletter

ML Engineer weekly newsletter from The Institute for Ethical AI & Machine Learning

Radical AI Network


Algorithms of Oppression: How Search Engines Reinforce Racism by Safiya Noble

Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor Hardcover by Virginia Eubanks

Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez

Rebooting AI: Building Artificial Intelligence We Can Trust by Gary Marcus, Ernest Davis

Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech by Sara Wachter-Boettcher

Weapons of Math Destruction by Cathy O’Neil

Carol Smith’s Contributions on AI Ethics and UX

Designing Trustworthy AI for Human-Machine Teaming” — blog on the Carnegie Mellon University, Software Engineering Institute Blog which contains links to:

Creating a Curious, Ethical AI Workforce” — essay published in War on the Rocks.

Intentionally Ethical AI Experiences” — Invited essay published in the Journal of Usability Studies by UXPA.

UX Leader, speaker and community organizer. My thoughts on user research, design, AI and more. Provoking human values in AI.

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