5 citations · 8 across the 5 of their papers we have counts for
5 papers
Revisiting the ABCs of Working with AI: A Replication with Radiologists
Daniel Martin
Artificial intelligence (AI) systems increasingly assist human experts, but the consequences of AI assistance on productivity can be heterogeneous. Caplin, Deming, S. Li, Martin, M…
When an AI Judges Your Work: The Hidden Costs of Algorithmic Assessment
David Almog, Lucas Lippman, Daniel Martin
We use an online experiment with a real work task to study whether workers change their behavior when they know AI will be used to judge their work instead of humans. We find that…
OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities
Michael Kouremetis, Marissa Dotter, Alex Byrne +5
The prospect of artificial intelligence (AI) competing in the adversarial landscape of cyber security has long been considered one of the most impactful, challenging, and potential…
Human Responses to Algorithmic Correction: Evidence from Centre Court
David Almog, Romain Gauriot, Lionel Page +1
We study how algorithmic review changes the initial decisions that a system is designed to correct. Using Hawk-Eye data from professional tennis, we compare umpire decisions with a…
Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
Nir Chemaya, Daniel Martin
The emergent abilities of Large Language Models (LLMs), which power tools like ChatGPT and Bard, have produced both excitement and worry about how AI will impact academic writing.…