Kenneth Holstein
Orcid: 0000-0001-6730-922X
According to our database1,
Kenneth Holstein
authored at least 68 papers
between 2014 and 2024.
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Bibliography
2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals.
CoRR, 2024
2023
Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making.
Proc. ACM Hum. Comput. Interact., April, 2023
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables.
Proc. ACM Hum. Comput. Interact., April, 2023
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI.
CoRR, 2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.
CoRR, 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Community-driven AI: Empowering people through responsible data-driven decision-making.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge.
Proceedings of The ACM Collective Intelligence Conference, 2023
Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Part of the Conversation: Workforce Professionals' Perspectives on the Roles and Impacts of Workforce Technologies.
Proc. ACM Hum. Comput. Interact., 2022
CoRR, 2022
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice.
CoRR, 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
CoRR, 2022
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions".
CoRR, 2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making.
CoRR, 2022
Int. J. Artif. Intell. Educ., 2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities.
Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
"A Second Voice": Investigating Opportunities and Challenges for Interactive Voice Assistants to Support Home Health Aides.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts.
Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022
2021
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., 2021
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors.
Proc. ACM Hum. Comput. Interact., 2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment.
CoRR, 2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
CoRR, 2021
SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021
2020
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020
Exploring Human-AI Control Over Dynamic Transitions Between Individual and Collaborative Learning.
Proceedings of the Addressing Global Challenges and Quality Education, 2020
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020
2019
Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity.
J. Learn. Anal., July, 2019
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019
2018
What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018
The classroom as a dashboard: co-designing wearable cognitive augmentation for K-12 teachers.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018
Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it?
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
SPACLE: investigating learning across virtual and physical spaces using spatial replays.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
2016
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data.
Proceedings of the Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, 2016
Proceedings of the EC-TEL 2016 International Workshop on Teaching Analytics, 2016
Proceedings of the EC-TEL 2016 International Workshop on Teaching Analytics, 2016
2015
Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning.
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015
2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014