7 citations · 8 across the 5 of their papers we have counts for
5 papers
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures
Eli Sherman, Ian W. Eisenberg
As AI systems' sophistication and proliferation have increased, awareness of the risks has grown proportionally (Sorkin et al. 2023). In response, calls have grown for stronger emp…
General Identification of Dynamic Treatment Regimes Under Interference
Eli Sherman, David Arbour, Ilya Shpitser
In many applied fields, researchers are often interested in tailoring treatments to unit-level characteristics in order to optimize an outcome of interest. Methods for identifying…
Identification and Estimation of Causal Effects from Dependent Data
Eli Sherman, Ilya Shpitser
The assumption that data samples are independent and identically distributed (iid) is standard in many areas of statistics and machine learning. Nevertheless, in some settings, suc…
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale
Eli Sherman, Hitinder Gurm, Ulysses Balis +2
In healthcare, patient risk stratification models are often learned using time-series data extracted from electronic health records. When extracting data for a clinical prediction…