TY - JOUR
T1 - Data Ethics Decision Aid (DEDA): a dialogical framework for ethical inquiry of AI and data projects in the Netherlands
AU - Franzke, Aline
AU - Muis, I.M.
AU - Schaefer, M.T.
N1 - Funding Information:
Developing the Data Ethics Decision Aid would not have been possible without the support, help and the feedback of others. We express our sincere gratitude to Martin Jansen who is steering the effort for data-driven public management at the City of Utrecht. Without his commitment to responsible data practices, DEDA would not have been materialized. The input of data analysts and project managers was essential. We thank Carolina Kaitjily, Floris Fonville, Geerte van Rije, Gregor van Raalte, Hans van Impelen, Linda Scheelbeek, Ling-Po Shih for their valuable feedback, informative contributions and for participating in focus groups. Observing and inquiring the actual data practices of municipal data analysts informed and shaped DEDA. We also want to express our gratitude to the numerous readers for their insightful and valuable feedback.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/9
Y1 - 2021/9
N2 - This contribution discusses the development of the Data Ethics Decision Aid (DEDA), a framework for reviewing government data projects that considers their social impact, the embedded values and the government’s responsibilities in times of data-driven public management. Drawing from distinct qualitative research approaches, the DEDA framework was developed in an iterative process (2016–2018) and has since then been applied by various Dutch municipalities, the Association of Dutch Municipalities, and the Ministry of General Affairs (NL). We present the DEDA framework as an effective process to moderate case-deliberation and advance the development of responsible data practices. In addition, by thoroughly documenting the deliberation process, the DEDA framework establishes accountability. First, this paper sheds light on the necessity for data ethical case deliberation. Second, it describes the prototypes, the final design of the framework, and its evaluation. After a comparison with other frameworks, and a discussion of the findings, the paper concludes by arguing that the DEDA framework is a useful process for ethical evaluation of data projects for public management and an effective tool for creating awareness of ethical issues in data practices.
AB - This contribution discusses the development of the Data Ethics Decision Aid (DEDA), a framework for reviewing government data projects that considers their social impact, the embedded values and the government’s responsibilities in times of data-driven public management. Drawing from distinct qualitative research approaches, the DEDA framework was developed in an iterative process (2016–2018) and has since then been applied by various Dutch municipalities, the Association of Dutch Municipalities, and the Ministry of General Affairs (NL). We present the DEDA framework as an effective process to moderate case-deliberation and advance the development of responsible data practices. In addition, by thoroughly documenting the deliberation process, the DEDA framework establishes accountability. First, this paper sheds light on the necessity for data ethical case deliberation. Second, it describes the prototypes, the final design of the framework, and its evaluation. After a comparison with other frameworks, and a discussion of the findings, the paper concludes by arguing that the DEDA framework is a useful process for ethical evaluation of data projects for public management and an effective tool for creating awareness of ethical issues in data practices.
KW - Big data
KW - Data ethics
KW - Data-driven public management
KW - Ethical assessment
KW - Information ethics
KW - IoT
KW - Value-sensitive design
UR - http://www.scopus.com/inward/record.url?scp=85099812254&partnerID=8YFLogxK
U2 - 10.1007/s10676-020-09577-5
DO - 10.1007/s10676-020-09577-5
M3 - Review article
SN - 1388-1957
VL - 23
SP - 551
EP - 567
JO - Ethics and Information Technology
JF - Ethics and Information Technology
IS - 3
M1 - 3
ER -