Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining
momentum: the increased attention comes partly with the view that participation opens the …

The pairing of massive data sets with processes—or algorithms—written in computer code to
sort through, organize, extract, or mine them has made inroads in almost every major social …

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 …

Data is a crucial component of machine learning. The field is reliant on data to train, validate,
and test models. With increased technical capabilities, machine learning research has …

The rapid growth of the platform economy has provoked scholarly discussion of its
consequences for the nature of work and employment. We identify four major themes in the …

Online labor platforms (OLPs) can use algorithms along two dimensions: matching and
control. While previous research has paid considerable attention to how OLPs optimize …

Untitled Page 1 Page 2 The Gig Economy A Critical Introduction Jamie Woodcock Mark
Graham polity 2020 Page 3 CONTENTS Cover Front Matter Introduction What do we mean by …

Datasets that power machine learning are often used, shared, and reused with little visibility
into the processes of deliberation that led to their creation. As artificial intelligence systems …

In this work, we survey a breadth of literature that has revealed the limitations of
predominant practices for dataset collection and use in the field of machine learning. We …

Prior research has studied the detrimental impact of algorithmic management on gig workers
and strategies that workers devise in response. However, little work has investigated …