Harini Suresh
John Brown University(US)Feminist Center for Studies and Advisory Services(BR)
Publications by Year
Research Areas
Artificial Intelligence in Healthcare and Education, Ethics and Social Impacts of AI, Machine Learning in Healthcare, Explainable Artificial Intelligence (XAI), Topic Modeling
Most-Cited Works
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle(2021)
- → Do as AI say: susceptibility in deployment of clinical decision-aids(2021)401 cited
- A Framework for Understanding Unintended Consequences of Machine Learning(2019)
- → Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays(2023)84 cited
- → A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle(2021)84 cited
- → Clinical Intervention Prediction and Understanding using Deep Networks(2017)78 cited
- Clinical Intervention Prediction and Understanding with Deep Neural Networks(2017)
- → Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection(2022)54 cited
- → Learning Tasks for Multitask Learning(2018)52 cited