3 citations · 3 across the 5 of their papers we have counts for
5 papers
Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements
Naoki Egami, Sooahn Shin
An increasing number of scholars use AI to measure variables they subsequently include in downstream analyses. Although AI-measured variables are often analyzed as if observed with…
Triage Score: A Counterfactual Risk Assessment Instrument
Kosuke Imai, Sooahn Shin, D. James Greiner +1
Risk assessment instruments, also known as "risk scores," are widely used in high-stakes decision-making settings such as medicine and the criminal justice system. A risk score pre…
Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
Eli Ben-Michael, D. James Greiner, Melody Huang +3
The use of Artificial Intelligence (AI), or more generally data-driven algorithms, has become ubiquitous in today's society. Yet, in many cases and especially when stakes are high,…
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
Kosuke Imai, Zhichao Jiang, James Greiner +2
Despite an increasing reliance on fully-automated algorithmic decision-making in our day-to-day lives, human beings still make highly consequential decisions. As frequently seen in…
Twists and Turns in the US-North Korea Dialogue: Key Figure Dynamic Network Analysis using News Articles
Sooahn Shin, Hyein Yang, Jong Hee Park
In this paper, we present a method for analyzing a dynamic network of key figures in the U.S.-North Korea relations during the first two quarters of 2018. Our method constructs key…