Work

The value sensitive design of a preventive health check app

Year: 2022

Type: article

Abstract: In projects concerning big data, ethical questions need to be answered during the design process. In this paper the Value Sensitive Design method is applied in the context of data-driven health services aimed at disease prevention. It shows how Value Sensitive Design, with the use of a moral dialogue and an ethical matrix, can support the identification and operationalization of moral values that are at stake in the design of such services. It also shows that using this method can support meeting the requirements of the General Data Protection Regulation.

Source: Ethics and Information Technology

DOI: 10.1007/s10676-022-09662-x

Authors: Litska Strikwerda, Marlies van Steenbergen, Anke van Gorp, Cathelijn Timmers, Jeroen van Grondelle

Institution: University of Applied Sciences Utrecht

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: hybrid

Estimated APC paid: $2,890