From black box to glass box: hidden mechanisms in automated journalism
Increasingly journalists are using automated tools in their research process. Digital, self-learning or AI tools are entering the journalistic market. We study how journalists use these tools and what the effect is on the gathering, selection and use of the found information and sources.
Objective
The project aims to investigate what is involved in the implementation of explainable AI. In addition, this project aims to apply for follow-up research to ultimately arrive at an approach and tools for explainable AI.
Results
A practical checklist with checkpoints that must be considered in the implementation of explainable AI linked to the AI lifecycle and a scientific paper with the results of this project.
Duration
01 July 2020 - 01 July 2022
Approach
The research follows design science research. An artefact is developed from literature research and research into use cases in practice. The artefact in this case is a checklist that supports organizations in implementing explainable AI.
