The Path to AI Arms Control
Today, as the world confronts the unique challenges posed by another unprecedented and in some ways even more terrifying technology—artificial intelligence—it is not surprising that many have been loo
Research
Effective Generative AI: The Human-Algorithm Centaur
In this article, we focus on recent advancements in Generative AI, and especially in Large Language Models (LLMs).
Media Measurement Matters: Estimating the Persuasive Effects of Partisan Media with Survey and Behavioral Data
To what extent do partisan media influence political attitudes and behavior?
Algorithmic recommendations have limited effects on polarization: A naturalistic experiment on YouTube
An enormous body of academic and journalistic work argues that opaque recommendation algorithms contribute to political polarization by promoting increasingly extreme content.
Algorithmic Recommendations and Human Discretion
Human decision-makers frequently override the recommendations generated by predictive algorithms, but it is unclear whether these discretionary overrides add valuable private information or reintroduc
Mitigating Included - and Omitted - Variable Bias in Estimates of Disparate Impact
In studies of discrimination, one popular strategy is to estimate disparities after adjusting for observed covariates, typically with a regression model.
China Wants to Run Your Internet
For the last two centuries, great powers—both nations and their associated firms—have fiercely competed to set the technical standards for leading technologies.
The Measure and Mismeasure of Fairness
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal, mathematical definitions of fairness have gained prominence.
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform?
Carbon capture, utilization, and storage: CO2 Transport costs and network infrastructure considerations for a net-zero United States
Carbon capture, utilization, and sequestration (CCUS) is a set of technologies that capture carbon dioxide (CO2) at point source and either store the CO2 for permanent storage underground or utilize i
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