Aayushi Dangol

PhD Student, University of Washington

I’m a third-year Ph.D. student, advised by Dr. Julie Kientz. My research investigates both technical AI/ML questions and applied problems that consider how to responsibly deploy AI in ways that support human learning, development, and interaction. Specifically, I design, develop and evaluate AI-powered tools for children with speech and language difficulties. By focusing on how AI can bridge developmental and educational gaps, I strive to create ethical, human-centered solutions that empower children and their families.

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Recent Projects

AI For Supporting Speech Therapy
AI For Supporting Speech Therapy
Fostering AI Literacy in Children
Fostering AI Literacy in Children
Improving Speech Recognition Accuracy
Improving Speech Recognition Accuracy
Evaluating AI Reasoning
Evaluating AI Reasoning
AI For Supporting Speech Therapy
AI For Supporting Speech Therapy
Fostering AI Literacy in Children
Fostering AI Literacy in Children
Improving Speech Recognition Accuracy
Improving Speech Recognition Accuracy
Evaluating AI Reasoning
Evaluating AI Reasoning
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Updates

🎉 Two Papers Accepted to CHI 2025

Jan 13, 2025

We’ve made preprints available for our accepted papers on designing AI technologies to support parents in conducting speech therapy.

🤞 Two Papers Conditionally Accepted to IDC 2025

March 25, 2025

One paper presents AI Puzzlers, an interactive system based on the Abstraction and Reasoning Corpus (ARC) that helps children identify and analyze errors in generative AI. The other explores children's mental models of AI reasoning .

📄 Paper Accepted to ISLS 2025

March 10, 2025

Thrilled to be sharing our research on developing an AI classification system for children with the learning sciences community.

💜 UW News Feature: Teens & AI Bias

Nov 21, 2024

Our research on representation bias of teenagers in large language models was featured in UW News and GeekWire!