Work

Supportive but apprehensive: Ambivalent attitudes towards a Danish public health AI and surveillance-driven project

Year: 2025

Type: article

Abstract: We explored attitudes among Danes toward a healthcare project under development, which includes artificial intelligence, healthcare surveillance, and big data – aimed to improve the detection of vaccine side effects. Similar to other studies in the field, we found a dual attitude of overall support for the project while being apprehensive about risky elements within it. We expanded on existing literature about such technologies by framing this as “ambivalence” and acknowledging the tension it creates for interviewees. This allows us to detect a variety of ambivalence-reducing strategies used by interviewees to square their support for the project with their awareness of the risks it introduces. Thus, in addition to conditioning the support for the project, interviewees presented attitudes of technological determinism, powerlessness, and reduced personal risks. We conclude by charting the implications of the current and future levels of public support for projects like the one here discussed.

Source: Big Data & Society

DOI: 10.1177/20539517251386035

Authors: Shaul A. Duke, Peter Sandøe, Thomas Andras Matthiessen Skelly, Sune Holm

Institution: University of Copenhagen

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,000