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08/30/2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
A growing body of research has explored how to support humans in making ...
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03/31/2023
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI
Data-driven algorithmic and AI systems are increasingly being deployed t...
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03/26/2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
AI-based decision-making tools are rapidly spreading across a range of r...
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03/17/2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Recent years have seen growing adoption of AI-based decision-support sys...
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03/01/2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
AI-based design tools are proliferating in professional software to assi...
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02/22/2023
Counterfactual Prediction Under Outcome Measurement Error
Across domains such as medicine, employment, and criminal justice, predi...
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02/13/2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
A growing literature on human-AI decision-making investigates strategies...
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02/09/2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Machine learning models with high accuracy on test data can still produc...
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12/11/2022
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences
In this short paper, we argue for a refocusing of XAI around human learn...
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10/07/2022
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice
Recent years have seen growing interest among both researchers and pract...
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07/28/2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
In many real world contexts, successful human-AI collaboration requires ...
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07/06/2022
Team Learning as a Lens for Designing Human-AI Co-Creative Systems
Generative, ML-driven interactive systems have the potential to change h...
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05/18/2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Child welfare agencies across the United States are turning to data-driv...
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05/13/2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Recent years have seen the development of many open-source ML fairness t...
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04/29/2022
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
This is an extended analysis of our paper "How Child Welfare Workers Red...
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04/22/2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making
Hybrid human-ML systems are increasingly in charge of consequential deci...
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04/05/2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
AI-based decision support tools (ADS) are increasingly used to augment h...
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11/04/2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Explainable AI (XAI) is a promising means of supporting human-AI collabo...
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05/06/2021
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
A growing body of literature has proposed formal approaches to audit alg...
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04/27/2021
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
The development of educational AI (AIEd) systems has often been motivate...
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04/02/2021
Designing for human-AI complementarity in K-12 education
Recent work has explored how complementary strengths of humans and artif...
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01/09/2020
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms
Recently, the HCI community has seen increased interest in the design of...
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12/13/2018