14 citations · 28 across the 4 of their papers we have counts for
5 papers
Exploring AI Problem Formulation with Children via Teachable Machines
Utkarsh Dwivedi, Salma Elsayed-Ali, Elizabeth Bonsignore +1
Emphasizing problem formulation in AI literacy activities with children is vital, yet we lack empirical studies on their structure and affordances. We propose that participatory de…
Examining the Values Reflected by Children during AI Problem Formulation
Utkarsh Dwivedi, Salma Elsayed-ali, Elizabeth Bonsignore +1
Understanding how children design and what they value in AI interfaces that allow them to explicitly train their models such as teachable machines, could help increase such activit…
Exploring Machine Teaching with Children
Utkarsh Dwivedi, Jaina Gandhi, Raj Parikh +3
Iteratively building and testing machine learning models can help children develop creativity, flexibility, and comfort with machine learning and artificial intelligence. We explor…
Sharing Practices for Datasets Related to Accessibility and Aging
Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri
Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused…
On Optimizing Human-Machine Task Assignments
Andreas Veit, Michael Wilber, Rajan Vaish +48
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the cro…