TY - GEN
T1 - Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
AU - Chowdhary, Shreya
AU - Kawakami, Anna
AU - Gray, Mary L.
AU - Suh, Jina
AU - Olteanu, Alexandra
AU - Saha, Koustuv
N1 - Funding Information:
This research was conducted at Microsoft Research. We thank David Widder and other participants for making time for the study. We thank Q. Vera Liao, Ziang Xiao, Samir Passi, Sachin Pendse, Shamsi Iqbal, Javier Hernandez, Mary Czerwinski, Kate Crawford, and Solon Barocas for providing feedback and resources for this work.
Publisher Copyright:
© 2023 ACM.
PY - 2023/6/12
Y1 - 2023/6/12
N2 - Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A hopeful application of these technologies is that they can help businesses and workers optimize productivity and wellbeing. However, given the inherent and structural power dynamics in the workplace, the prevalent approach of accepting tacit compliance to monitor work activities rather than seeking workers' meaningful consent raises privacy and ethical concerns. This paper unpacks challenges workers face when consenting to workplace wellbeing technologies. Using a hypothetical case to prompt reflection among six multi-stakeholder focus groups involving 15 participants, we explored participants' expectations and capacity to consent to these technologies. We sketched possible interventions that could better support meaningful consent to workplace wellbeing technologies, by drawing on critical computing and feminist scholarship - which reframes consent from a purely individual choice to a structural condition experienced at the individual level that needs to be freely given, reversible, informed, enthusiastic, and specific (FRIES). The focus groups revealed how workers are vulnerable to "meaningless"consent - as they may be subject to power dynamics that minimize their ability to withhold consent and may thus experience an erosion of autonomy in their workplace, also undermining the value of data gathered in the name of "wellbeing."To meaningfully consent, participants wanted changes to how the technology works and is being used, as well as to the policies and practices surrounding the technology. Our mapping of what prevents workers from meaningfully consenting to workplace wellbeing technologies (challenges) and what they require to do so (interventions) illustrates how the lack of meaningful consent is a structural problem requiring socio-technical solutions.
AB - Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A hopeful application of these technologies is that they can help businesses and workers optimize productivity and wellbeing. However, given the inherent and structural power dynamics in the workplace, the prevalent approach of accepting tacit compliance to monitor work activities rather than seeking workers' meaningful consent raises privacy and ethical concerns. This paper unpacks challenges workers face when consenting to workplace wellbeing technologies. Using a hypothetical case to prompt reflection among six multi-stakeholder focus groups involving 15 participants, we explored participants' expectations and capacity to consent to these technologies. We sketched possible interventions that could better support meaningful consent to workplace wellbeing technologies, by drawing on critical computing and feminist scholarship - which reframes consent from a purely individual choice to a structural condition experienced at the individual level that needs to be freely given, reversible, informed, enthusiastic, and specific (FRIES). The focus groups revealed how workers are vulnerable to "meaningless"consent - as they may be subject to power dynamics that minimize their ability to withhold consent and may thus experience an erosion of autonomy in their workplace, also undermining the value of data gathered in the name of "wellbeing."To meaningfully consent, participants wanted changes to how the technology works and is being used, as well as to the policies and practices surrounding the technology. Our mapping of what prevents workers from meaningfully consenting to workplace wellbeing technologies (challenges) and what they require to do so (interventions) illustrates how the lack of meaningful consent is a structural problem requiring socio-technical solutions.
KW - data governance
KW - ethics
KW - power
KW - privacy
KW - sensing
KW - workplace
UR - http://www.scopus.com/inward/record.url?scp=85163671215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85163671215&partnerID=8YFLogxK
U2 - 10.1145/3593013.3594023
DO - 10.1145/3593013.3594023
M3 - Conference contribution
AN - SCOPUS:85163671215
T3 - ACM International Conference Proceeding Series
SP - 569
EP - 582
BT - Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023
PB - Association for Computing Machinery
T2 - 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023
Y2 - 12 June 2023 through 15 June 2023
ER -