If you are user-testing these cards, please fill out this survey to share your feedback.

The instructions below explain how to use the card deck to respond to a design prompt. However, I encourage you to experiment to discover how the deck might best help you incorporate and/or reflect upon the use of predictive algorithms in your practice.

Workshop Instructions for ML Cards

This card deck is part of my larger research project: a book entitled Big Data. Big Design. Why Designers Should Care about Machine Learning (Princeton Arch Press, 2021)

Students using machine learning cards to incorporate Ml technology into their current project. In the image students discuss and sketch in reaction to the cards before them.
Machine learning card deck. Cards are the size of standard business cards. Cards are divided into four categories: blue: Augment, red: Anticipate, green: Personalize, and gray: Ethics. Each category includes 9 cards. Each card has a different prompt that urges the user to experience with a specific function of predictive algorithms.

Additional Resources:


People’s Guide to AI zine: Wonderful downloadable zine by MOTHER CYBORG and MIMI ỌNỤỌHA

I Love Algorithms cards: Downloadable card set of useful algorithms for designs to know. Created by the Stanford d.school


Machine Learning for Designers by Patrick Hebron (book)

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place by Janelle Shane (book)

Prediction Machines by Ajay Agrawal, Joshua Gans, Avi Goldfarb (book)

Machine Learning: The New AI by Ethem Alpaydin (book)

Frontline: In the Age of AI (documentary)

The Great Hack (Netflix documentary)



Rumman Chowdhury: Building Ethical and Responsible Technology into Government (lecture)

21 Definitions of Fairness and Their Politics (lecture)

Caroline Sinders: AI is More Than Math: Using Art and Design to Interrogate Bias in AI (lecture)

Data Selves by Deborah Lupton (book)

Weapons of Math Destruction by Cathy O’Neil (book)

Invisible Women by Caroline Criado Perez (book)

When Biometrics Fail by Shoshana Amielle Magnet, (book)

The Age of Surveillance Capitalism by Shoshana Zuboff (book)



The Voice in the Machine by Roberto Pieraccini

Wired for Speech by Clifford Nass and Scott Brave

Conversational Design by Erica Hall

Designing Voice User Interfaces by Cathy Pearl

Designing for Conversation: List of articles by Paul Pangero

VoiceFlow (prototyping tool for voice interface)

DialogFlow (Google prototyping tool for text or voice based interface)