6 citations · 7 across the 3 of their papers we have counts for
3 papers
Process Matters more than Output for Distinguishing Humans from Machines
Milena Rmus, Mathew D. Hardy, Thomas L. Griffiths +1
Reliable human-machine discrimination is becoming increasingly important as large language models and autonomous agents are deployed in online settings. Existing approaches evaluat…
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decisions
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
Do large datasets provide value to psychologists? Without a systematic methodology for working with such datasets, there is a valid concern that analyses will produce noise artifac…
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
Large-scale behavioral datasets enable researchers to use complex machine learning algorithms to better predict human behavior, yet this increased predictive power does not always…