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Validation of a Datafication Canvas
Willems, W.J.M. (2019) Validation of a Datafication Canvas.
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| Abstract: | Given the rise of data analytics and big data, the ethical implications of the data become more important. The development of new frameworks for the understanding of these ethical concerns is desired. Alberts-De Gier developed a canvas, but this has not been validated yet. This paper provides a validation of the datafication canvas of Alberts-De Gier. Firstly, the canvas is compared to other existing frameworks. Secondly, the canvas is validated by applying it to two literature cases concerning biased algorithms. Thirdly, the canvas is applied to business cases from Asito and a large Dutch bank. The research shows that there is a need for such a canvas and that it identifies vicious feedback loops, but it also shows shortcomings in the identification of ethical concerns such as the identification of biased variables. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 08 philosophy, 54 computer science, 85 business administration, organizational science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/79154 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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