Beyond bootstrapping: the liberian ilab as a maturing community of practice. - Ellen W. Zegura; Michael A. Madaio; Rebecca E. Grinter (ICTD, 2015)

Experiences with MOOCs in a West-African Technology Hub. - Michael A. Madaio; Rebecca E. Grinter; Ellen W. Zegura (ICTD, 2016)

The Effect of Friendship and Tutoring Roles on Reciprocal Peer Tutoring Strategies. - Michael A. Madaio; Amy Ogan; Justine Cassell (ITS, 2016)

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta. - Michael A. Madaio; Shang-Tse Chen; Oliver L. Haimson; Wenwen Zhang; Xiang Cheng 002; Matthew Hinds-Aldrich; Duen Horng Chau; Bistra Dilkina (KDD, 2016)

The Impact of Peer Tutors' Use of Indirect Feedback and Instructions. - Michael Madaio; Justine Cassell; Amy Ogan (CSCL, 2017)

Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring. - Michael A. Madaio; Rae Lasko; Justine Cassell; Amy Ogan (EDM, 2017)

Temporally Selective Attention Model for Social and Affective State Recognition in Multimedia Content. - Hongliang Yu; Liangke Gui; Michael A. Madaio; Amy Ogan; Justine Cassell; Louis-Philippe Morency (ACM Multimedia, 2017)

"I think you just got mixed up": confident peer tutors hedge to support partners' face needs. - Michael A. Madaio; Justine Cassell; Amy Ogan (Int. J. Comput. Support. Collab. Learn., 2017)

Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent. - Zian Zhao; Michael A. Madaio; Florian Pecune; Yoichi Matsuyama; Justine Cassell (AAMAS, 2018)

Designing Appropriate Learning Technologies for School vs Home Settings in Tanzanian Rural Villages. - Judith Uchidiuno; Evelyn Yarzebinski; Michael A. Madaio; Nupur Maheshwari; Ken Koedinger; Amy Ogan (COMPASS, 2018)

A Climate of Support: A Process-Oriented Analysis of the Impact of Rapport on Peer Tutoring. - Michael Madaio; Kun Peng; Amy Ogan; Justine Cassell (ICLS, 2018)

"I Think It Might Help If We Multiply, and Not Add": Detecting Indirectness in Conversation. - Pranav Goel 001; Yoichi Matsuyama; Michael Madaio; Justine Cassell (IWSDS, 2018)

A Dynamic Pipeline for Spatio-Temporal Fire Risk Prediction. - Bhavkaran Singh Walia; Qianyi Hu; Jeffrey Chen; Fangyan Chen; Jessica Lee; Nathan Kuo; Palak Narang; Jason Batts; Geoffrey Arnold; Michael Madaio (KDD, 2018)

Design Opportunities for AIED to Support Parents' Literacy. - Michael Madaio; Amy Ogan (SLLL@AIED, 2019)

Equity Beyond Bias in Language Technologies for Education. - Elijah Mayfield; Michael Madaio; Shrimai Prabhumoye; David Gerritsen; Brittany McLaughlin; Ezekiel Dixon-Román; Alan W. Black (BEA@ACL, 2019)

"Everyone Brings Their Grain of Salt": Designing for Low-Literate Parental Engagement with a Mobile Literacy Technology in Côte d'Ivoire. - Michael A. Madaio; Fabrice Tanoh; Axel Blahoua Seri; Kaja Jasinska; Amy Ogan (CHI, 2019)

"You give a little of yourself": family support for children's use of an IVR literacy system. - Michael A. Madaio; Vikram Kamath Cannanure; Evelyn Yarzebinski; Shelby Zasacky; Fabrice Tanoh; Joelle Hannon-Cropp; Justine Cassell; Kaja Jasinska; Amy Ogan (COMPASS, 2019)

Predicting Gaps in Usage in a Phone-Based Literacy Intervention System. - Rishabh Chatterjee; Michael Madaio; Amy Ogan (AIED (1), 2020)

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI. - Michael A. Madaio; Luke Stark; Jennifer Wortman Vaughan; Hanna M. Wallach (CHI, 2020)

Collective Support and Independent Learning with a Voice-Based Literacy Technology in Rural Communities. - Michael A. Madaio; Evelyn Yarzebinski; Vikram Kamath Cannanure; Benjamin Zinszer; Joelle Hannon-Cropp; Fabrice Tanoh; Akpe Yapo Hermann; Axel Blahoua Seri; Kaja Jasinska; Amy Ogan (CHI, 2020)

Confronting Structural Inequities in AI for Education. - Michael Madaio; Su Lin Blodgett; Elijah Mayfield; Ezekiel Dixon-Román (CoRR, 2021)

Risks of AI Foundation Models in Education. - Su Lin Blodgett; Michael Madaio (CoRR, 2021)

Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir". - Fernando A. Delgado; Stephen Yang; Michael Madaio; Qian Yang 004 (CoRR, 2021)

Understanding and Scaffolding Family Literacy with Voice-Based Technology in Rural Côte d'Ivoire. - Michael A. Madaio (2021)

Part of the Conversation: Workforce Professionals' Perspectives on the Roles and Impacts of Workforce Technologies. - Connie W. Chau; Kenneth Holstein; Michael Madaio (Proc. ACM Hum. Comput. Interact., 2022)

Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support. - Michael Madaio; Lisa Egede; Hariharan Subramonyam; Jennifer Wortman Vaughan; Hanna M. Wallach (Proc. ACM Hum. Comput. Interact., 2022)

Human-Centered Responsible Artificial Intelligence: Current & Future Trends. - Mohammad Tahaei; Marios Constantinides; Daniele Quercia; Sean Kennedy; Michael J. Muller; Simone Stumpf; Q. Vera Liao; Ricardo Baeza-Yates; Lora Aroyo; Jess Holbrook; Ewa Luger; Michael Madaio; et al. (CHI Extended Abstracts, 2023)

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges. - Qiaosi Wang; Michael Madaio; Shaun K. Kane; Shivani Kapania; Michael Terry; Lauren Wilcox (CHI, 2023)

The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice. - Fernando A. Delgado; Stephen Yang; Michael Madaio; Qian Yang 004 (EAAMO, 2023)

Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. - Wesley Hanwen Deng; Nur Yildirim; Monica Chang; Motahhare Eslami; Kenneth Holstein; Michael Madaio (FAccT, 2023)

Scaling Laws Do Not Scale. - Fernando Diaz 001; Michael Madaio (CoRR, 2023)

Fairlearn: Assessing and Improving Fairness of AI Systems. - Hilde J. P. Weerts; Miroslav Dudík; Richard Edgar; Adrin Jalali; Roman Lutz; Michael Madaio (J. Mach. Learn. Res., 2023)

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics. - Richmond Y. Wong; Michael A. Madaio; Nick Merrill (Proc. ACM Hum. Comput. Interact., 2023)

Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. - Jay Cunningham; Su Lin Blodgett; Michael Madaio; Hal Daumé III; Christina Harrington; Hanna M. Wallach (ACL (Findings), 2024)

Scaling Laws Do Not Scale. - Fernando Diaz; Michael Madaio (AIES (1), 2024)

A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations. - Glen Berman; Nitesh Goyal; Michael Madaio (CHI, 2024)

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence. - Marios Constantinides; Mohammad Tahaei; Daniele Quercia; Simone Stumpf; Michael Madaio; Sean Kennedy; Lauren Wilcox; Jessica Vitak; Henriette Cramer; Edyta Paulina Bogucka; Ricardo Baeza-Yates; Ewa Luger; et al. (CHI Extended Abstracts, 2024)

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping. - Zijie J. Wang; Chinmay Kulkarni 001; Lauren Wilcox; Michael Terry; Michael Madaio (CHI, 2024)

Generative AI Going Awry: Enabling Designers to Proactively Avoid It in CSCW Applications. - Jed R. Brubaker; Casey Fiesler; Michael Madaio; John C. Tang; Richmond Y. Wong (CSCW Companion, 2024)

Collaboratively Designing and Evaluating Responsible AI Interventions. - Wesley Hanwen Deng; Glen Berman; Harmanpreet Kaur; Reva Schwartz; Memunat Ajoke Ibrahim; Motahhare Eslami; Kenneth Holstein; Michael Madaio (CSCW Companion, 2024)

Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. - Michael Madaio; Shivani Kapania; Rida Qadri; Ding Wang; Andrew Zaldivar; Remi Denton; Lauren Wilcox (FAccT, 2024)

Tinker, Tailor, Configure, Customize: The Articulation Work of Contextualizing an AI Fairness Checklist. - Michael A. Madaio; Jingya Chen; Hanna M. Wallach; Jennifer Wortman Vaughan (Proc. ACM Hum. Comput. Interact., 2024)

"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI. - Jaemarie Solyst; Lauren Wilcox; Michael Madaio (CHI, 2025)

Pragmatic Fairness: Evaluating ML Fairness Within the Constraints of Industry. - Jessie J. Smith; Michael Madaio; Robin Burke; Casey Fiesler (FAccT, 2025)

The Case for "Thick Evaluations" of Cultural Representation in AI. - Rida Qadri; Mark Diaz; Ding Wang; Michael Madaio (CoRR, 2025)

Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms. - Ningjing Tang; Megan Li; Amy A. Winecoff; Michael Madaio; Hoda Heidari; Hong Shen 004 (CoRR, 2025)