Carol J. Smith

UX + AI Resources

Resources on improving user experiences (UX) for artificial intelligence (AI) are compiled here. These resources are primarily related to machine learning, but can be used for any technologies. Last updated: February 2025. Recommendations can be submitted via LinkedIn.

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 (September 18, 2018).
• Abusability Testing Workshop
  Workshop organized by Anna Abovyan, Theora Kvitka, and Allison Cosby of Pittsburgh IxDA Chapter for World Interaction Design Day 2019.
• “Black Mirror” Episodes
  “Black Mirror, Light Mirror: Teaching Technology Ethics Through Speculation” by Casey Fiesler (October 15, 2018).
• Implicit Association Test (IAT)
  Harvard University.

Tools for Supporting Ethical AI

• Designing Ethical AI Experiences: Checklist and Agreement
  By Carol J. Smith, Carnegie Mellon University. Designed to “prompt intentional, uncomfortable conversations.”
• Datasheets for Datasets
  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.

Lists of Additional Resources

• Awesome AI Guidelines
  Curated by EthicalML (GitHub).
• Awful AI
  “Curated list to track current scary usages of AI — hoping to raise awareness to its misuses in society” by David Dao (GitHub).
• Toward Ethical, Transparent and Fair AI/ML: A Critical Reading List
  Compiled by Eirini Malliaraki (Medium).
• Machine Learning and User Experience: A Few Resources
  By Michelle Carney (Medium).
• Principled Artificial Intelligence
  “Mapping consensus in ethical and rights-based approaches to principles for AI” by Jessica Fjeld and Adam Nagy, Harvard University. Includes downloadable visualization.
• Tech Ethics in The News
  Weekly-updated spreadsheet curated from Casey Fiesler’s Information Ethics and Policy classes at CU Boulder.

Organizations and Newsletters

• AI Ethics Newsletter
  Montreal AI Ethics Institute.
• AI Now Institute
• Algorithm Watch
• Ethical OS
• Lighthouse3 Weekly Ethics Newsletter
• ML Engineer Weekly Newsletter
  From The Institute for Ethical AI & Machine Learning.
• Radical AI Network

Books

• 11 Books to Read After Watching Netflix’s The Social Dilemma
  Curated list from Fast Company.
• Algorithms of Oppression: How Search Engines Reinforce Racism
  By Safiya Noble.
• 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

• Writings and Presentations
  SlideShare.
• Designing Trustworthy AI for Human-Machine Teaming
  Blog post, Carnegie Mellon University Software Engineering Institute.
• Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development
  Academic paper presented at AAAI Symposium FSS-19, Carnegie Mellon University.
• Creating a Curious, Ethical AI Workforce
  Essay, War on the Rocks (March 2020).
• Intentionally Ethical AI Experiences
  Invited essay, Journal of Usability Studies, UXPA.