Guiding the specification of sociotechnical ML systems - Interview transcripts

DOI:10.4121/19793968.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/19793968

Datacite citation style

Anouk Wolters (2022): Guiding the specification of sociotechnical ML systems - Interview transcripts. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19793968.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This folder contains interview transcripts of 14 interviews conducted for research within the Master Thesis of Anouk Wolters in PDF format. The empirical part of the research consisted of conducting 18 interviews with stakeholders (in)directly involved in Machine Learning use cases. The interviews were conducted with stakeholders within 2 different banks, concentrated around 2 different use cases. Additionally, a few interviews were conducted with representatives of civil society organisations and regulatory bodies. The interviews were conducted to get an understanding of the specification, development and use of Machine Learning systems in practice. 

The READ ME file provides a table that gives an overview of which interterviews are present in this folder and with which interviewee the interview was conducted. 4 interviewees did not consent to publicly archive the interview, which is respected. Therefore, those interview transcripts are not publicly available. 

History

  • 2022-05-20 first online, published, posted

Publisher

4TU.ResearchData

Format

PDF

Language

nl

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

Files (15)