Data and its (dis) contents: A survey of dataset development and use in machine learning research
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 …
predominant practices for dataset collection and use in the field of machine learning. We …
Problematic machine behavior: A systematic literature review of algorithm audits
J Bandy - Proceedings of the acm on human-computer …, 2021 - dl.acm.org
While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …
little scholarly work has gone toward synthesizing prior work and strategizing future research …
The dimensions of data labor: A road map for researchers, activists, and policymakers to empower data producers
Many recent technological advances (eg ChatGPT and search engines) are possible only
because of massive amounts of user-generated data produced through user interactions …
because of massive amounts of user-generated data produced through user interactions …
Algorithmic collective action in machine learning
M Hardt, E Mazumdar… - International …, 2023 - proceedings.mlr.press
We initiate a principled study of algorithmic collective action on digital platforms that deploy
machine learning algorithms. We propose a simple theoretical model of a collective …
machine learning algorithms. We propose a simple theoretical model of a collective …
Data leverage: A framework for empowering the public in its relationship with technology companies
Many powerful computing technologies rely on implicit and explicit data contributions from
the public. This dependency suggests a potential source of leverage for the public in its …
the public. This dependency suggests a potential source of leverage for the public in its …
Bargaining with the black-box: Designing and deploying worker-centric tools to audit algorithmic management
D Calacci, A Pentland - Proceedings of the ACM on Human-Computer …, 2022 - dl.acm.org
The increasing prevalence of large-scale labor aggregation platforms, worker analytics, and
algorithmic decision-making by management raises the question of whether workers can …
algorithmic decision-making by management raises the question of whether workers can …
Human and technological infrastructures of fact-checking
Increasing demands for fact-checking have led to a growing interest in developing systems
and tools to automate the fact-checking process. However, such systems are limited in …
and tools to automate the fact-checking process. However, such systems are limited in …
Operationalizing the legal principle of data minimization for personalization
Article 5 (1)(c) of the European Union's General Data Protection Regulation (GDPR)
requires that" personal data shall be [...] adequate, relevant, and limited to what is necessary …
requires that" personal data shall be [...] adequate, relevant, and limited to what is necessary …
A deeper investigation of the importance of Wikipedia links to search engine results
A growing body of work has highlighted the important role that Wikipedia's volunteer-created
content plays in helping search engines achieve their core goal of addressing the …
content plays in helping search engines achieve their core goal of addressing the …
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm
A large body of research has attempted to ensure that algorithmic systems adhere to notions
of fairness and transparency. Increasingly, researchers have highlighted that mitigating …
of fairness and transparency. Increasingly, researchers have highlighted that mitigating …