2025
- “This is eye opening:” Raising Awareness of Home Care Workers' Health and Wellbeing via Activity Tracking↗
Ian René Solano-Kamaiko, Melissa Tan, Irene Yang, Kexin Cheng, Ronica Peramsetty, Michelle Shum, Yanira Escamilla, Ariel C. Avgar, Madeline Sterling, Aditya Vashistha, Nicola Dell, Proceedings of the 2025 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW '25).
- “Who is running it?” Towards Equitable AI Deployment in Home Care Work↗
Ian René Solano-Kamaiko, Melissa Tan, Joy Ming, Ariel C. Avgar, Aditya Vashistha, Madeline Sterling, Nicola Dell, Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI '25).
- “This is eye opening:” Raising Awareness of Home Care Workers' Health and Wellbeing via Activity Tracking↗
2024
- Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India↗
Ian René Solano-Kamaiko, Dibyendu Mishra, Nicola Dell, Aditya Vashistha, Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems (CHI '24).
- Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India↗
2023
- Introducing Contextual Transparency for Automated Decision Systems↗
Mona Sloane, Ian René Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich, Nature Machine Intelligence (March 2023).
- Introducing Contextual Transparency for Automated Decision Systems↗
2022
- It's just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy↗
Andrew Bell, Ian René Solano-Kamaiko, Oded Nov, Julia Stoyanovich, Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22).
- It's just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy↗