| Improving fairness in machine learning systems: What do industry practitioners need? K Holstein, JW Vaughan, H Daumé III, M Dudík, H Wallach Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
, 2019 | 918 | 2019 |
| Ethics of AI in education: Towards a community-wide framework W Holmes, K Porayska-Pomsta, K Holstein, E Sutherland, T Baker, ... International Journal of Artificial Intelligence in Education 32 (3), 504-526, 2022 | 649 | 2022 |
| Co-designing a real-time classroom orchestration tool to support teacherAI complementarity K Holstein, BM McLaren, V Aleven Journal of Learning Analytics, 2019 | 274 | 2019 |
| Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms K Holstein, B McLaren, V Aleven 🏆 Proceedings of the 19th International Conference on Artificial
, 2018 | 254 | 2018 |
| Intelligent tutors as teachers' aides: Exploring teacher needs for real-time analytics in blended classrooms K Holstein, BM McLaren, V Aleven Proceedings of the seventh international learning analytics & knowledge
, 2017 | 237 | 2017 |
| The Classroom as a Dashboard: Co-designing Wearable Cognitive Augmentation for K-12 Teachers K Holstein, G Hong, M Tegene, BM McLaren, V Aleven Proceedings of the Eighth International Learning Analytics & Knowledge
, 2018 | 162 | 2018 |
| A conceptual framework for humanAI hybrid adaptivity in education K Holstein, V Aleven, N Rummel Artificial Intelligence in Education: 21st International Conference, AIED
, 2020 | 137 | 2020 |
| Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors H Shen, A DeVos, M Eslami, K Holstein Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-29, 2021 | 128 | 2021 |
| Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms. K Holstein, BM McLaren, V Aleven 🏆 Proceedings of the 20th International Conference on Artificial
, 2019 | 128 | 2019 |
| Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support A Kawakami, V Sivaraman, HF Cheng, L Stapleton, Y Cheng, D Qing, ... 🏆 Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022 | 110 | 2022 |
| Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? K Holstein, S Doroudi arXiv preprint arXiv:2104.12920, 2021 | 86* | 2021 |
| Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits WH Deng, M Nagireddy, MSA Lee, J Singh, ZS Wu, K Holstein, H Zhu Proceedings of the 2022 Conference on Fairness, Accountability, and
, 2022 | 82 | 2022 |
| Toward User-Driven Algorithm Auditing: Investigating users strategies for uncovering harmful algorithmic behavior A DeVos, A Dhabalia, H Shen, K Holstein, M Eslami Proceedings of the 2022 CHI conference on human factors in computing systems
, 2022 | 77 | 2022 |
| The TA Framework: Designing real-time teaching augmentation for K-12 classrooms P An, K Holstein, B dAnjou, B Eggen, S Bakker Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020 | 75 | 2020 |
| How child welfare workers reduce racial disparities in algorithmic decisions HF Cheng, L Stapleton, A Kawakami, V Sivaraman, Y Cheng, D Qing, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
, 2022 | 73 | 2022 |
| Designing for humanAI complementarity in K‐12 education K Holstein, V Aleven AI Magazine 43 (2), 239-248, 2021 | 67 | 2021 |
| Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders L Stapleton, MH Lee, D Qing, M Wright, A Chouldechova, K Holstein, ... 2022 ACM Conference on Fairness, Accountability, and Transparency, 1162-1177, 2022 | 60 | 2022 |
| Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools F Gmeiner, H Yang, L Yao, K Holstein, N Martelaro 🏆 Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023 | 57 | 2023 |
| Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services TS Kuo, H Shen, J Geum, N Jones, JI Hong, H Zhu, K Holstein 🏆 Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023 | 47 | 2023 |
| Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning ÁA Cabrera, E Fu, D Bertucci, K Holstein, A Talwalkar, JI Hong, A Perer Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023 | 47 | 2023 |
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
