ELLIS-ELLIOT Reading Group: Human-Centric Machine Learning Session

This reading group aims to gather researchers and students interested in both getting a wide vision of the topic and also deeply diving into it. Reading papers about different topics inside HCML, and also discussing new problem set-ups, different approaches, and sources of bias will lead us to a broad understanding of how algorithmic and human decisions influence each other. It's organised by students in the ELLIS PhD Program and the ELLIOT Young Researcher Group.

Learn more about the Reading Group or join the Google Group to stay informed about the session details.

Title: Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research

Authors: Raluca Rilla, Tobias Werner, Hiromu Yakura, Iyad Rahwan, Anne-Marie Nussberger

Presented By: Aditya Gulati