Crowdsourcing has had a dramatic impact on the speed and scale at which scientific
research can be conducted. Clinical scientists have particularly benefited from readily …

AI models are increasingly applied in high-stakes domains like health and conservation.
Data quality carries an elevated significance in high-stakes AI due to its heightened …

The user study is a fundamental method used in HCI. In designing user studies, we often
use compensation strategies to incentivize recruitment. However, compensation can also …

The widespread implementation of algorithmic technologies in organizations prompts
questions about how algorithms may reshape organizational control. We use perspective of …

Research in machine learning (ML) has argued that models trained on incomplete or biased
datasets can lead to discriminatory outputs. In this commentary, we propose moving the …

A growing number of people are working as part of on-line crowd work. Crowd work is often
thought to be low wage work. However, we know little about the wage distribution in practice …

This article presents findings regarding collective organisation among online freelancers in
middle‐income countries. Drawing on research in Southeast Asia and Sub‐Saharan Africa …

Human annotated data plays a crucial role in machine learning (ML) research and
development. However, the ethical considerations around the processes and decisions that …

Machine learning (ML) depends on data to train and verify models. Very often, organizations
outsource processes related to data work (ie, generating and annotating data and …

Software algorithms are changing how people work in an ever-growing number of fields,
managing distributed human workers at a large scale. In these work settings, human jobs …