Guiding the specification of sociotechnical Machine Learning systems

Guiding the specification of sociotechnical Machine Learning systems: Addressing vulnerabilities and challenges in Machine Learning practice

Wolters, Anouk (TU Delft Technology, Policy and Management)

Janssen, M.F.W.H.A. (graduation committee)
Dobbe, R.I.J. (mentor)
Gürses, F.S. (graduation committee)
Jetten, Nick (mentor)

Delft University of Technology

Complex Systems Engineering and Management (CoSEM)

2022-05-10

There is a need for a more comprehensive sociotechnical systems view on ML. Such a view looks at the development and use of an ML system in practice as being a sociotechnical ML system: "a system consisting of technical artefacts, human agents and institutions, in which a machine-based subsystem influences its real or virtual environment by automating, supporting or augmenting decision-making". This research takes on this view to design a sociotechnical guide for ML practice, centring the specication of sociotechnical ML systems. Taking on the guidelines contributes to a safe and effective development and use of ML systems.

Machine Learning
Sociotechnical system
Qualitative research
Design Science Research

http://resolver.tudelft.nl/uuid:c68f5beb-5e3b-44d0-995f-90dd8fb9085a

https://doi.org/10.4121/19793968.v1

Student theses

master thesis

© 2022 Anouk Wolters