Schedule

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Topics & Readings

Week 0: Introduction

1: Optional Capel & Brereton What is Human-Centered about Human-Centered AI? A Map of the Research Landscape CHI 2023

Slides: Overview Slides

Week 1: Fairness and Bias

1: Martinez & Kirchner “The secret bias hidden in mortgage-approval algorithms” The Markup 2021
2: Suresh & Guttag “A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle” EAAMO 2021
3: Cheng et al. Soliciting Stakeholders’ Fairness Notions in Child Maltreatment Predictive Systems CHI 2021
4: Yang et al. Fair Machine Guidance to Enhance Fair Decision Making in Biased People CHI 2024

Slides: Overview Slides Student Slides

Week 2: Transparency and Explainability

1: Knight “The Dark Secret at the Heart of AI” MIT Technology Review 2017
2: Poursabzi-Sangdeh et al. Manipulating and Measuring Model Interpretability CHI 2021
3: Ehsan et al. “The Who in XAI: How AI Background Shapes Perceptions of AI Explanations” CHI 2024
4: Kim et al. "”Help Me Help the AI”: Understanding How Explainability Can Support Human-AI Interaction” CHI 2023

Slides: Overview Slides Student Slides

Week 3: Setting Expectations

1: Zhang et al. “‘An Ideal Human’: Expectations of AI Teammates in Human-AI Teaming” CSCW 2021
2: Kloft et al. “AI enhances our performance, I have no doubt this one will do the same”: The Placebo Efect Is Robust to Negative Descriptions of AI CHI 2024
3: Kocielnik, Amershi & Bennett “Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems” CHI 2019
4: Li et al. Showing LLM-Generated Code Selectively Based on Confidence of LLMs

Slides: Overview Slides Student Slides

Week 4: No Class

Week 5: Designing for Failure

1: Wang et al. “GAM Coach: Towards Interactive and User-centered Algorithmic Recourse” CHI 2023
2: Kaminski & Urban “The Right to Contest AI” Columbia Law Review 2021
3: Anand We think hallucinations make AI different from us. What if they make us the same? Boston Globe 2025
4: Massenon, Gambo, Khan, Agbonkhese, & Alwadain ”My AI is Lying to Me”: User-reported LLM hallucinations in AI mobile apps reviews Nature 2025

Slides: Overview Slides Student Slides

Week 6: Generative AI - The End of Creativity?

1: ONLY Sections 3 & 4 of Cetinic & She “Understanding and Creating Art with AI: Review and Outlook” ACM Transactions on Multimedia 2022
2: 2: Costanzo AI is Changing Creative Work Globe and Mail 2025
3: Kadoma, Metaxa, & Namaan Generative AI and Perceptual Harms: Who’s Suspected of using LLMs? CHI 2025 4: Wadinambiarachchi et al. “The Effects of Generative AI on Design Fixation and Divergent Thinking” CHI 2024

Slides: Overview Slides Student Slides

Week 7: Generative AI - Challenges of Chat

1: Zamfirescu-Pereira, Wong, Hartmann, & Yang Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts CHI 2023
2: Schulhoff et al. The Prompt Report Arxiv 2025
3: Clark et al. What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents CHI 2019
4: Hojo et al. GenerativeGUI: Dynamic GUI Generation Leveraging LLMs for Enhanced User Interaction on Chat Interfaces CHI Extended Abstracts 2025

Slides: Overview Slides Student Slides

Week 8: “The Algorithm”

1: Schechtman “Life in the algorithm” Yale Review 2023
2: DeVito, Gergle & Bernholtz “‘Algorithms ruin everything’: #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media” CHI 2017
3: Steen, Yurchenko & Klug “You Can (Not) Say What You Want: Using Algospeak to Contest and Evade Algorithmic Content Moderation on TikTok Social Media + Society 2023
4: Shen et al. Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors CSCW 2021

Slides: Overview Slides Student Slides

Week 9: Privacy/Security

1: Weinshel, Wei, Mondal, Choi, Shan, Dolin, Mazurek, & Ur “Oh, the Places You’ve Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing” CCS 2019
2: Shou “The Next Big Privacy Hurdle? Teaching AI to Forget” Wired 2019
3: Zhang, Jia, Lee, Yao, Das, Lerner, Wang, & Li “It’s a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents CHI 2024
4: Lee et al. “Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks” CHI 2024

Slides: Overview Slides Student Slides

Week 10: Student Choice - Environmental Impacts of AI

1: Wells “As AI becomes part of everyday life, it brings a hidden climate cost” AP News 2025
2: Chen A.I. Is on the Rise, and So Is the Environmental Impact of the Data Centers That Drive It Smithsonian Magazine 2025
3: Xiao et al. Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA Nature Sustainability 2025
4: Ellsworth et al. Measuring the environmental impact of delivering AI at Google Scale Arxiv 2025