J Haidar, M Keune - Work and labour relations in global platform …, 2021 - elgaronline.com
Since the 1990s, and in particular since the 2008 crisis, digital platforms have progressively ascended to the centre of contemporary capitalism, giving rise to so-called platform …
O Huang, E Fleisig, D Klein - arxiv preprint arxiv:2311.02802, 2023 - arxiv.org
Current practices regarding data collection for natural language processing on Amazon Mechanical Turk (MTurk) often rely on a combination of studies on data quality and …
S Sannon, D Cosley - Proceedings of the 2019 CHI conference on …, 2019 - dl.acm.org
Tasks on crowdsourcing platforms such as Amazon Mechanical Turk often request workers' personal information, raising privacy risks that may be exacerbated by requester-worker …
Fairness toolkits are developed to support machine learning (ML) practitioners in using algorithmic fairness metrics and mitigation methods. Past studies have investigated practical …
AI image captioning challenges encourage broad participation in designing algorithms that automatically create captions for a variety of images and users. To create large datasets …
A Rothschild, D Wang, NJ Vilvanathan… - Proceedings of the …, 2024 - ojs.aaai.org
Fairness in AI and ML systems is increasingly linked to the proper treatment and recognition of data workers involved in training dataset development. Yet, those who collect and …