10 citations · 11 across the 3 of their papers we have counts for
3 papers
Recommending With, Not For: Co-Designing Recommender Systems for Social Good
Michael D. Ekstrand, Afsaneh Razi, Aleksandra Sarcevic +3
Recommender systems are usually designed by engineers, researchers, designers, and other members of development teams. These systems are then evaluated based on goals set by the af…
To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events
Angela Mastrianni, Mary Suhyun Kim, Travis M. Sullivan +4
AI-enabled decision-support systems aim to help medical providers rapidly make decisions with limited information during medical emergencies. A critical challenge in developing the…
AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals
Angela Mastrianni, Hope Twede, Aleksandra Sarcevic +6
Generative AI has the potential to transform knowledge work, but further research is needed to understand how knowledge workers envision using and interacting with generative AI. W…