Algorithmic management reimagined for workers and by workers: Centering worker well-being in gig work

A Zhang, A Boltz, CW Wang, MK Lee - … of the 2022 CHI conference on …, 2022 - dl.acm.org
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 …

" Give Everybody [..] a Little Bit More Equity": Content Creator Perspectives and Responses to the Algorithmic Demonetization of Content Associated with …

S Kingsley, P Sinha, C Wang, M Eslami… - Proceedings of the ACM …, 2022 - dl.acm.org
Algorithmic systems help manage the governance of digital platforms featuring user-
generated content, including how money is distributed to creators from the profits a platform …

Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Y Choi, EJ Kang, MK Lee, J Kim - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
In many creator economy platforms, algorithms significantly impact creators' practices and
decisions about their creative expression and monetization. Emerging research suggests …

Uncovering gig worker-centered design opportunities in food delivery work

S Ma, P Bala, V Nisi, J Zimmerman… - Proceedings of the 2023 …, 2023 - dl.acm.org
The gig economy and digital labor platforms, such as food delivery, have become essential
while also troubling the current socioeconomic landscape. Delivery platforms promise entry …

A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use

E Awumey, S Das, J Forlizzi - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Modern advances in AI have increased employer interest in tracking workers' biometric
signals—eg, their brainwaves and facial expressions—to evaluate and make predictions …

“Have you learned your lesson?” Communities of practice under algorithmic competition

EA Watkins - New Media & Society, 2022 - journals.sagepub.com
Gig workers are typically thought of as individuals toiling in digitized isolation, not as
communities of shared learning. While it's accurate to say they don't have the same …

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality

TJJ Li, Y Lu, J Clark, M Chen, V Cox, M Jiang… - Proceedings of the 1st …, 2022 - dl.acm.org
The growing inequality in gig work between workers and platforms has become a critical
social issue as gig work plays an increasingly prominent role in the future of work. The AI …

Locating the work of artificial intelligence ethics

SC Slota, KR Fleischmann, S Greenberg… - Journal of the …, 2023 - Wiley Online Library
The scale and complexity of the data and algorithms used in artificial intelligence (AI)‐based
systems present significant challenges for anticipating their ethical, legal, and policy …

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data

K Pine, C Bossen, N Holten Møller, M Miceli… - CHI Conference on …, 2022 - dl.acm.org
In the wake of the hype around big data, artificial intelligence, and “data-drivenness,” much
attention has been paid to develo** novel tools to capitalize upon the deluge of data …

Spooky Technology: The ethereal and otherworldly as a resource for design

D Byrne, D Lockton, M Hu, M Luong… - Proceedings of the …, 2022 - dl.acm.org
Our everyday technologies could have appeared terrifying to our ancestors: instantaneous
disembodied communication, access to knowledge, objects with 'intelligence'that talk to us …