Applications of collective action

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Research Overview

Challenging the Validity of Personality Tests for Large Language Models

A Dynamic Model of Human-ML Collaboration

Multi-Objective Learn-to-Defer: Possibility, Complexity, and a Post-Processing Framework

Sample efficient learning of predictors that complement humans

Algorithmic Collective Action in Machine Learning

Theory of collective action

Applications of collective action

Causality in Trustworthy Machine Learning: Fairness, Robustness, Recourse, and Distributional Stability

Human Aspects of Machine Learning

Applications of collective action

In this project we are looking into how to put collective action in use. We focus on non-adversarial scenarios, where a collective can help gaining social good.