AI Ethics and UX Resources

Curiosity Activating UX Activities

Abusability Testing: UX in the Age of Abusability. The role of Composition, Collaboration, and Craft in building ethical products.

By Dan Brown. Sep 18, 2018.

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

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Tools for Supporting Ethical AI

Checklist to prompt intentional, uncomfortable conversations: Designing Ethical AI Experiences: Checklist and Agreement

by Carol Smith (me), Carnegie Mellon University, Software Engineering Institute.

Datasheets for Datasets

Paper: “Datasheets for Datasets” on arxiv by Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford

Markdown for Datasheets for Datasets by JRMeyer (GitHub — includes LaTeX version)

Ethics checklist for data scientists

by Deon

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Lists of Additional Resources

Awesome AI Guidelines on GitHub

from EthicalML

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 principles — Principled 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.

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Organizations and Newsletters

AI Ethics newsletter

from the Montreal AI Ethics Institute

AI Now Institute

Algorithm Watch newsletter

Ethical OS

Lighthouse3 weekly Ethics newsletter

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

from The Institute for Ethical AI & Machine Learning

Radical AI Network

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Books

11 books to read after watching Netflix’s The Social Dilemma

from Fast Company

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

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Carol Smith’s Contributions on AI Ethics and UX

My writings on the topic are below and you can also find my presentations on SlideShare.

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

Checklist to prompt intentional, uncomfortable conversations (same as linked above): Designing Ethical AI Experiences: Checklist and Agreement Carnegie Mellon University, Software Engineering Institute, Fact Sheet.

“Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development.” — Paper presented at AAAI (Association for the Advancement of Artificial Intelligence) Symposium FSS-19: Artificial Intelligence in Government and Public Sector. Hosted at Carnegie Mellon University.

“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.