|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|Title:||A comparative assessment and synthesis of twenty ethics codes on AI and big data|
|Published in:||Proceedings of the 7th SDS|
|Conference details:||7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020|
|Publisher / Ed. Institution:||IEEE|
|Subjects:||Data ethic; Ethical guideline; Artificial intelligence|
|Subject (DDC):||006: Special computer methods |
|Abstract:||Up to date, more than 80 codes exist for handling ethical risks of artificial intelligence and big data. In this paper, we analyse where those codes converge and where they differ. Based on an in-depth analysis of 20 guidelines, we identify three procedural action types (1. control and document, 2. inform, 3. assign responsibility) as well as four clusters of ethical values whose promotion or protection is supported by the procedural activities. We achieve a synthesis of previous approaches with a framework of seven principles, combining the four principles of biomedical ethics with three distinct procedural principles: control, transparency and accountability.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Data Analysis and Process Design (IDP)|
|Appears in collections:||Publikationen School of Engineering|
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Loi, M., Heitz, C., & Christen, M. (2020). A comparative assessment and synthesis of twenty ethics codes on AI and big data [Conference paper]. Proceedings of the 7th SDS, 41–46. https://doi.org/10.1109/SDS49233.2020.00015
Loi, M., Heitz, C. and Christen, M. (2020) ‘A comparative assessment and synthesis of twenty ethics codes on AI and big data’, in Proceedings of the 7th SDS. IEEE, pp. 41–46. Available at: https://doi.org/10.1109/SDS49233.2020.00015.
M. Loi, C. Heitz, and M. Christen, “A comparative assessment and synthesis of twenty ethics codes on AI and big data,” in Proceedings of the 7th SDS, 2020, pp. 41–46. doi: 10.1109/SDS49233.2020.00015.
Loi, Michele, et al. “A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data.” Proceedings of the 7th SDS, IEEE, 2020, pp. 41–46, https://doi.org/10.1109/SDS49233.2020.00015.
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