This study evaluates the impact of text messaging interventions on voter registration updates in two scenarios: one involving unresponsive…
Rapid advances in artificial intelligence (AI), including large language models (LLMs) with abilities that rival those of human experts on…
An enormous body of literature argues that recommendation algorithms drive political polarization by creating "filter bubbles" and "rabbit…
Among healthcare researchers, there is increasing debate over how best to assess and ensure the
fairness of algorithms used for clinical…
Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely…
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Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely…
Regulatory efforts to protect against algorithmic bias have taken on increased urgency with rapid advances in large language models (LLMs…
More than 40% of US high school students have access to Naviance, a proprietary tool designed to guide college search and application…
To what extent do partisan media influence political attitudes and behavior? Although recent methodological advancements have improved…
An enormous body of academic and journalistic work argues that opaque recommendation algorithms contribute to political polarization by…