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1: Optional Capel & Brereton What is Human-Centered about Human-Centered AI? A Map of the Research Landscape CHI 2023
Slides: Overview Slides
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
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
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: Badger “How to Make Waiting for the Bus Feel Much, Much Shorter” Bloomberg CityLab 2014
Slides: Overview Slides Student Slides
1: Matsakis “What Does a Fair Algorithm Actually Look Like?” Wired 2018
2: Wang et al. “GAM Coach: Towards Interactive and User-centered Algorithmic Recourse” CHI 2023
2: Lyons, Velloso & Miller “Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions” CSCW 2021
3: Kaminski & Urban “The Right to Contest AI” Columbia Law Review 2021
Slides: Overview Slides Student Slides
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
1: ONLY Sections 3 & 4 of Cetinic & She “Understanding and Creating Art with AI: Review and Outlook” ACM Transactions on Multimedia 2022
2: Simonite These Deepfake Voices Can Help Trans Gamers Wired 2021
3: Weisz et al. “Design Principles for Generative AI Applications” CHI 2024
4: Wadinambiarachchi et al. “The Effects of Generative AI on Design Fixation and Divergent Thinking” CHI 2024
Slides: Overview Slides Student Slides
1: Abebe, Barocas, Kleinberg, Levy, Raghavan & Robinson “Roles for Computing in Social Change” FAccT 2020
2: Matthew Hutson “Who Should Stop Unethical A.I.?” The New Yorker 2021
3: Capel & Brereton “Don’t ask if artificial intelligence is good or fair, ask how it shifts power” Nature 2020
4: Widder et al. It’s about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them? FAccT 2023
Slides: Overview Slides Student Slides
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: Asthana et al. “‘I know even if you don’t tell me’: Understanding Users’ Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization” CHI 2024
4: Lee et al. “Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks” CHI 2024
Slides: Overview Slides Student Slides
1: Rotman “People are worried that AI will take everyone’s jobs. We’ve been here before.” MIT Technology Review 2024
2: Frey & Osborne “Generative AI and the Future of Work: A Reappraisal” Brown Journal of World Affairs 2023
3: Ben Kirman et al. “CHI and the Future Robot Enslavement of Humankind; A Retrospective” CHI Extended Abstracts 2013
4: Brown & Greene “The Future of Work is No Work: A Call to Action for Designers in the Abolition of Work” CHI Extended Abstracts 2022
Slides: Overview Slides Student Slides