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Kenneth Holstein
Ken Holstein
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2020 – today
- 2024
- [j9]Anna Kawakami
, Amanda Coston
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-24 (2024) - [c59]Frederic Gmeiner
An Evidence-based Workflow for Studying and Designing Learning Supports for Human-AI Co-creation. CHI Extended Abstracts 2024: 42:1-42:15 - [c58]Tzu-Sheng Kuo
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CHI 2024: 193:1-193:24 - [c57]Zahra Ashktorab
Trust and Reliance in Evolving Human-AI Workflows (TREW). CHI Extended Abstracts 2024: 496:1-496:6 - [c56]Anna Kawakami
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. CHI 2024: 749:1-749:22 - [c55]Wesley Hanwen Deng
Collaboratively Designing and Evaluating Responsible AI Interventions. CSCW Companion 2024: 658-662 - [c54]Tina M. Park
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. CSCW Companion 2024: 748-751 - [c53]Ningjing Tang
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. FAccT 2024: 713-732 - [c52]Alicia DeVrio
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. FAccT 2024: 1093-1106 - [c51]Luke Guerdan, Amanda Coston, Ken Holstein, Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. ICML 2024 - [i32]Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CoRR abs/2402.14147 (2024) - [i31]Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein:
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals. CoRR abs/2402.18774 (2024) - [i30]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. CoRR abs/2404.00848 (2024) - [i29]Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu:
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. CoRR abs/2405.12458 (2024) - [i28]Philipp Spitzer, Joshua Holstein, Katelyn Morrison, Kenneth Holstein, Gerhard Satzger, Niklas Kühl:
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration. CoRR abs/2409.12809 (2024) - [i27]Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang, Jane Hsieh, Haiyi Zhu, Kenneth Holstein:
PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation. CoRR abs/2409.15644 (2024) - [i26]Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery:
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. CoRR abs/2409.18203 (2024) - 2023
- [j8]Kenneth Holstein
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-20 (2023) - [j7]Katelyn Morrison
Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-37 (2023) - [c50]Frederic Gmeiner
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. CHI 2023: 226:1-226:20 - [c49]Duri Long
AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. CHI Extended Abstracts 2023: 329:1-329:6 - [c48]Gagan Bansal
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2023: 371:1-371:6 - [c47]Wesley Hanwen Deng
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice. CHI 2023: 377:1-377:18 - [c46]Ángel Alexander Cabrera
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CHI 2023: 419:1-419:14 - [c45]Kexin Bella Yang
Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom. CHI 2023: 453:1-453:17 - [c44]Tzu-Sheng Kuo
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services. CHI 2023: 860:1-860:17 - [c43]Anna Kawakami
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI 2023: 63-78 - [c42]Chinmay Kulkarni
LLMs and the Infrastructure of CSCW. CSCW Companion 2023: 408-410 - [c41]Ruyuan Wan
Community-driven AI: Empowering people through responsible data-driven decision-making. CSCW Companion 2023: 532-536 - [c40]Wesley Hanwen Deng
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion 2023: 556-559 - [c39]Luke Guerdan
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. FAccT 2023: 688-704 - [c38]Wesley Hanwen Deng
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. FAccT 2023: 705-716 - [c37]Luke Guerdan
Counterfactual Prediction Under Outcome Measurement Error. FAccT 2023: 1584-1598 - [c36]Amanda Coston, Anna Kawakami, Haiyi Zhu
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. SaTML 2023: 690-704 - [i25]Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer:
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CoRR abs/2302.04732 (2023) - [i24]Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein:
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. CoRR abs/2302.06503 (2023) - [i23]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Counterfactual Prediction Under Outcome Measurement Error. CoRR abs/2302.11121 (2023) - [i22]Frederic Gmeiner, Humphrey Yang, Lining Yao, Kenneth Holstein, Nikolas Martelaro:
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. CoRR abs/2303.00192 (2023) - [i21]Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services. CoRR abs/2303.09743 (2023) - [i20]Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein:
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design. CoRR abs/2303.14602 (2023) - [i19]Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein:
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI. CoRR abs/2304.00167 (2023) - [i18]Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Ken Holstein, Michael Madaio:
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. CoRR abs/2306.06542 (2023) - [i17]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR abs/2308.15700 (2023) - 2022
- [j6]Wayne Holmes
Ethics of AI in Education: Towards a Community-Wide Framework. Int. J. Artif. Intell. Educ. 32(3): 504-526 (2022) - [j5]Kenneth Holstein
Designing for Human-AI Complementarity in K-12 Education. AI Mag. 43(2): 239-248 (2022) - [j4]Connie W. Chau
Part of the Conversation: Workforce Professionals' Perspectives on the Roles and Impacts of Workforce Technologies. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-22 (2022) - [c35]Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. Conference on Designing Interactive Systems 2022: 454-470 - [c34]Vince Bartle, Janice Lyu, Freesoul El Shabazz-Thompson
"A Second Voice": Investigating Opportunities and Challenges for Interactive Voice Assistants to Support Home Health Aides. CHI 2022: 45:1-45:17 - [c33]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CHI 2022: 52:1-52:18 - [c32]Gagan Bansal, Alison Marie Smith-Renner
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2022: 116:1-116:6 - [c31]Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. CHI 2022: 162:1-162:22 - [c30]Alicia DeVos
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. CHI 2022: 626:1-626:19 - [c29]Logan Stapleton
Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities. CSCW Companion 2022: 282-286 - [c28]Wesley Hanwen Deng
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. FAccT 2022: 473-484 - [c27]Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. FAccT 2022: 1162-1177 - [i16]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CoRR abs/2204.02310 (2022) - [i15]Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari:
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. CoRR abs/2204.10806 (2022) - [i14]Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". CoRR abs/2204.13872 (2022) - [i13]Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu:
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. CoRR abs/2205.06922 (2022) - [i12]Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. CoRR abs/2205.08928 (2022) - [i11]Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari:
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. CoRR abs/2206.14983 (2022) - [i10]Frederic Gmeiner, Kenneth Holstein, Nikolas Martelaro:
Team Learning as a Lens for Designing Human-AI Co-Creative Systems. CoRR abs/2207.02996 (2022) - [i9]Kenneth Holstein, Maria De-Arteaga, Lakshmi Tumati, Yanghuidi Cheng:
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables. CoRR abs/2207.13834 (2022) - [i8]Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein:
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. CoRR abs/2210.03709 (2022) - [i7]Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein:
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR abs/2212.05588 (2022) - 2021
- [j3]Kexin Bella Yang, Tomohiro Nagashima, Junhui Yao, Joseph Jay Williams, Kenneth Holstein, Vincent Aleven:
Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 119:1-119:24 (2021) - [j2]Hong Shen, Alicia DeVos
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 433:1-433:29 (2021) - [c26]LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter
Teachers' Orchestration Needs During the Shift to Remote Learning. EC-TEL 2021: 347-351 - [c25]Kexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven:
SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research. EDM 2021 - [i6]Kenneth Holstein, Vincent Aleven:
Designing for human-AI complementarity in K-12 education. CoRR abs/2104.01266 (2021) - [i5]Kenneth Holstein, Shayan Doroudi:
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? CoRR abs/2104.12920 (2021) - [i4]Hong Shen, Alicia DeVos, Motahhare Eslami, Kenneth Holstein:
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. CoRR abs/2105.02980 (2021) - [i3]Donghoon Shin, Sachin Grover, Kenneth Holstein, Adam Perer:
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment. CoRR abs/2111.02626 (2021) - 2020
- [c24]Kenneth Holstein, Erik Harpstead
Replay Enactments: Exploring Possible Futures through Historical Data. Conference on Designing Interactive Systems 2020: 1607-1618 - [c23]Stephen E. Fancsali
Towards Practical Detection of Unproductive Struggle. AIED (2) 2020: 92-97 - [c22]Kenneth Holstein, Vincent Aleven, Nikol Rummel
A Conceptual Framework for Human-AI Hybrid Adaptivity in Education. AIED (1) 2020: 240-254 - [c21]Pengcheng An
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms. CHI 2020: 1-17 - [c20]Vanessa Echeverría
Exploring Human-AI Control Over Dynamic Transitions Between Individual and Collaborative Learning. EC-TEL 2020: 230-243 - [c19]Shayan Doroudi, Kenneth Holstein, Petr Johanes:
Probing Learning Scientists' Beliefs About Learning and Science. ICLS 2020 - [i2]Pengcheng An, Kenneth Holstein, Bernice d'Anjou, Berry Eggen, Saskia Bakker:
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms. CoRR abs/2001.02985 (2020)
2010 – 2019
- 2019
- [j1]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity. J. Learn. Anal. 6(2) (2019) - [c18]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms. AIED (1) 2019: 157-171 - [c17]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? CHI 2019: 600 - [c16]Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven:
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. EDM 2019 - 2018
- [c15]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms. AIED (1) 2018: 154-168 - [c14]Kenneth Holstein, Zac Yu
Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling. AIED (1) 2018: 169-183 - [c13]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Informing the Design of Teacher Awareness Tools through Causal Alignment Analysis. ICLS 2018 - [c12]Anouschka van Leeuwen, Nikol Rummel, Kenneth Holstein, Bruce M. McLaren, Vincent Aleven, Inge Molenaar, Carolien Knoop van Campen, Baruch B. Schwarz, Naomi Prusak, Osama Swidan, Avi Segal, Kobi Gal:
Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it? ICLS 2018 - [c11]Kenneth Holstein, Gena Hong, Mera Tegene, Bruce M. McLaren, Vincent Aleven:
The classroom as a dashboard: co-designing wearable cognitive augmentation for K-12 teachers. LAK 2018: 79-88 - [c10]Yanjin Long, Kenneth Holstein, Vincent Aleven:
What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model. LAK 2018: 399-408 - [i1]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving fairness in machine learning systems: What do industry practitioners need? CoRR abs/1812.05239 (2018) - 2017
- [c9]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms. LAK 2017: 257-266 - [c8]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
SPACLE: investigating learning across virtual and physical spaces using spatial replays. LAK 2017: 358-367 - 2016
- [c7]Vincent Aleven, Franceska Xhakaj, Kenneth Holstein, Bruce M. McLaren:
Developing a Teacher Dashboard For Use with Intelligent Tutoring Systems. IWTA@EC-TEL 2016: 15-23 - [c6]Kenneth Holstein, Franceska Xhakaj, Vincent Aleven, Bruce M. McLaren:
Luna: A Dashboard for Teachers Using Intelligent Tutoring Systems. IWTA@EC-TEL 2016: 18-14 - [c5]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. EDM (Workshops) 2016 - [c4]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. EDM 2016: 70-77 - 2015
- [c3]Christopher G. Lucas, Kenneth Holstein, Michael Pacer:
Inferring causal structure and hidden causes from event sequences. CogSci 2015 - [c2]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. EDM 2015: 376-379 - 2014
- [c1]Christopher G. Lucas, Kenneth Holstein, Charles Kemp:
Discovering hidden causes using statistical evidence. CogSci 2014
Coauthor Index
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