From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience-Reference-Cited by-同舟云学术

From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience

Published:2022-01-12 Issue:4 Volume:2 Page:697-711
ISSN:2730-5953
Container-title:AI and Ethics
language:en
Short-container-title:AI Ethics

Author:

Georgieva Ilina^ORCID,Lazo Claudio,Timan Tjerk,van Veenstra Anne Fleur

Funder

TNO - Program 'Accelerating Trustworthy AI'

Dutch AI Coalition

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s43681-021-00127-3.pdf

Reference71 articles.

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3. Aizenberg, E., Van den Hoven, J.: Designing for human rights in AI. Big Data Soc. (2020). https://doi.org/10.1177/2053951720949566

4. Arrieta, A.B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R. and Chatila, R., 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115

5. Aydemir, F. B., Dalpiaz, F.: A roadmap for ethics-aware software engineering. In: 2018 IEEE/ACM international workshop on software fairness (FairWare). IEE. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8452915 (2018)

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