It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy. - Andrew Bell; Ian Solano-Kamaiko; Oded Nov; Julia Stoyanovich (FAccT, 2022)

Introducing contextual transparency for automated decision systems. - Mona Sloane; Ian Solano-Kamaiko; Jun Yuan; Aritra Dasgupta 001; Julia Stoyanovich (Nat. Mac. Intell., 2023)

Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India. - Ian René Solano-Kamaiko; Dibyendu Mishra; Nicola Dell; Aditya Vashistha (CHI, 2024)

"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 R. Sterling; Nicola Dell (CHI, 2025)