Gauging the Acceptance of Contact Tracing Technology: An Empirical Study of Singapore Residents' Concerns and Trust in Information Sharing

Regulatory Insights on Artificial Intelligence: Research for Policy 2021

28 Pages Posted: 5 Apr 2021

See all articles by Ee-Ing Ong

Ee-Ing Ong

Singapore Management University School of Law; Singapore Management University - Centre for AI & Data Governance

Wee Ling Loo

Singapore Management University School of Law; Singapore Management University - Centre for AI & Data Governance

Date Written: April 2, 2021

Abstract

In response to the COVID-19 pandemic, governments began implementing various forms of contact tracing technology. Singapore’s implementation of its contact tracing technology, TraceTogether, however, was met with significant concern by its population, with regard to privacy and data security. This concern did not fit with the general perception that Singaporeans have a high level of trust in its government. We explore this disconnect, using responses to our survey (conducted pre-COVID-19) in which we asked participants about their level of concern with the government and business collecting certain categories of personal data. The results show that respondents had less concern with the government as compared to a business collecting most forms of personal data. Nonetheless, they still had a moderately high level of concern about sharing such data with the government. We further found that income, education and perceived self-exposure to AI are associated with higher levels of concern with the government collecting personal data relevant to contact tracing, namely health history, location and social network friends’ information. This has implications for Singapore residents’ trust in government collecting data and hence the success of such projects, not just for contact tracing purposes but for other government-related data collection undertakings.

Keywords: AI, contact tracing, COVID-19, empirical work, survey, data privacy, data security, surveillance, trust

Suggested Citation

Ong, Ee-Ing and Loo, Wee Ling, Gauging the Acceptance of Contact Tracing Technology: An Empirical Study of Singapore Residents' Concerns and Trust in Information Sharing (April 2, 2021). Regulatory Insights on Artificial Intelligence: Research for Policy 2021, Available at SSRN: https://ssrn.com/abstract=3817972 or http://dx.doi.org/10.2139/ssrn.3817972

Ee-Ing Ong (Contact Author)

Singapore Management University School of Law ( email )

55 Armenian Street
Singapore, 179943
Singapore

Singapore Management University - Centre for AI & Data Governance ( email )

55 Armenian Street
Singapore
Singapore

Wee Ling Loo

Singapore Management University School of Law ( email )

55 Armenian Street
Singapore, 179943
Singapore

Singapore Management University - Centre for AI & Data Governance ( email )

55 Armenian Street
Singapore
Singapore

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