12 papers
Sustainable Care: Designing Technologies That Support Children's Long-Term Engagement with Social Issues
JaeWon Kim, Aayushi Dangol, Rotem Landesman +2
Children today encounter social issues -- climate change, conflict, inequality -- through digital technologies, and the design of that encounter shapes whether young people move to…
Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy
Robert Wolfe, Aayushi Dangol
Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society's understanding of exp…
How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Pitch Sinlapanuntakul, Aayushi Dangol, Xiaoyi Xue +1
As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This…
Toys that listen, talk, and play: Understanding Children's Sensemaking and Interactions with AI Toys
Aayushi Dangol, Meghna Gupta, Daeun Yoo +4
Generative AI (genAI) is increasingly being integrated into children's everyday lives, not only through screens but also through so-called "screen-free" AI toys. These toys can sim…
Where Does AI Leave a Footprint? Children's Reasoning About AI's Environmental Costs
Aayushi Dangol, Robert Wolfe, Nisha Devasia +3
Two of the most socially consequential issues facing today's children are the rise of artificial intelligence (AI) and the rapid changes to the earth's climate. Both issues are com…
Relief or displacement? How teachers are negotiating generative AI's role in their professional practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe +8
As generative AI (genAI) rapidly enters classrooms, accompanied by district-level policy rollouts and industry-led teacher trainings, it is important to rethink the canonical ``ado…