Ethical Considerations Around Machine Learning-Engaged Online Participatory Research

2025/12/01 by Blickhan, Samantha, Burgess, Hillary · 1 voice
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Mobile Crowdsensing and Crowdsourcing #Open Source Software Innovations

paper · doi:10.5281/zenodo.17779991

openalex publication_date 2025/12/01 · openalex created_date 2025/12/03 · openalex updated_date 2026/07/01

Abstract

This poster presents work in progress that brings interdisciplinary researchers, practitioners, and members of the public together in a series of workshops to discuss the ethics of machine learning-engaged online participatory research (often called ‘crowdsourcing’), wherein machine learning (ML) is a component at some stage of an online participatory research project. The discussions from these workshops will be used to produce the first-ever framework for ML-engaged online participatory research on the Zooniverse crowdsourcing platform.

Discussions

• One more round of papers here at #ff2025 before the lunch break and poster session, where I'll be presenting our ongoing work developing a ML/AI framework for @zooniverse.bsky.social, co-authored with [bsky, 4 points, 0 comments]

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