20 citations · 29 across the 4 of their papers we have counts for
4 papers
Are LLMs Useful in the Poorest Schools? TheTeacher.AI in Sierra Leone
Jun Ho Choi, Oliver Garrod, Paul Atherton +3
Education systems in developing countries have few resources to serve large, poor populations. How might generative AI integrate into classrooms? This paper introduces an AI chatbo…
(Machine) Learning What Policies Value
Daniel Björkegren, Joshua E. Blumenstock, Samsun Knight
When a policy prioritizes one person over another, is it because they benefit more, or because they are preferred? This paper develops a method to uncover the values consistent wit…
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf, Max Simchowitz, Sarah Dean +4
While real-world decisions involve many competing objectives, algorithmic decisions are often evaluated with a single objective function. In this paper, we study algorithmic polici…
The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda
Daniel Björkegren, Burak Ceyhun Karaca
Governments spend billions of dollars subsidizing the adoption of different goods. However, it is difficult to gauge whether those goods are resold, or are valued by their ultimate…