TY - GEN
T1 - New futures of work or continued marginalization? The rise of online freelance work and digital platforms
AU - Munoz, Isabel
AU - Sawyer, Steve
AU - Dunn, Michael
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/6/8
Y1 - 2022/6/8
N2 - Workers from historically marginalized populations are an increasingly important, but not-well-understood, set of participants in the narratives being developed about the many futures of work. Here, we argue that the growth of non-standard work and the changes in worker/employer relationships that this reflects, the rising number of independent workers, and the surge of digital labor platforms demand more attention to what these new working arrangements mean for historically marginalized groups. To do so, in this paper we: (1) summarize long-documented inequalities in traditional workplaces, (2) highlight how these issues translate into the under-regulated and fast-evolving landscape of digital labor platforms, and (3) focus on how the emergence of data-driven algorithms and AI technologies may impact these issues. Our discussion draws attention to how HCI researchers can continue to address issues of bias and inequality embedded within technology. In particular, we focus on how issues of bias are diminished, transformed, or exacerbated in emerging forms of digitally-mediated work that seem to be core to discourse on the futures of work.
AB - Workers from historically marginalized populations are an increasingly important, but not-well-understood, set of participants in the narratives being developed about the many futures of work. Here, we argue that the growth of non-standard work and the changes in worker/employer relationships that this reflects, the rising number of independent workers, and the surge of digital labor platforms demand more attention to what these new working arrangements mean for historically marginalized groups. To do so, in this paper we: (1) summarize long-documented inequalities in traditional workplaces, (2) highlight how these issues translate into the under-regulated and fast-evolving landscape of digital labor platforms, and (3) focus on how the emergence of data-driven algorithms and AI technologies may impact these issues. Our discussion draws attention to how HCI researchers can continue to address issues of bias and inequality embedded within technology. In particular, we focus on how issues of bias are diminished, transformed, or exacerbated in emerging forms of digitally-mediated work that seem to be core to discourse on the futures of work.
KW - Algorithms
KW - Bias
KW - Freelancing
KW - Future of work
KW - Gig economy
KW - Marginalization
KW - Platforms
UR - http://www.scopus.com/inward/record.url?scp=85132373948&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132373948&partnerID=8YFLogxK
U2 - 10.1145/3533406.3533412
DO - 10.1145/3533406.3533412
M3 - Conference contribution
AN - SCOPUS:85132373948
T3 - ACM International Conference Proceeding Series
BT - CHIWORK 2022 - Proceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work
PB - Association for Computing Machinery
T2 - 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work, CHIWORK 2022
Y2 - 8 June 2022 through 9 June 2022
ER -