The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Approaching Ethical Guidelines for Data Scientists
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“So far, some papers have been published on the subject of teaching ethics to data scientists (Garzcarek and Steuer 2019; Burton etal. 2017; Goldsmith and Burton 2017; Johnson 2017) but by and large very little to nothing has been written about the tangible implementation of ethical goals and values.”
From The Ethics of AI Ethics: An Evaluation of Guidelines (2020) · cites this paper as Garzcarek and Steuer 2019
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Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
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FILTER BUBBLE: Wie wir im Internet entmündigt werden
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The filter bubble: how the new personalized web is changing what we read and how we think
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Donoho, D. (2017) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2017.1384734 · Cited by 695
Kurth, B.-M., Kamtsiuris, P., Hölling, H., Schlaud, M., Dölle, R., Ellert, U., Kahl, H., Knopf, H., Lange, M., Mensink, G. B., et al. (2008) · BMC Public Health · doi:10.1186/1471-2458-8-196 · Cited by 502
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Curriculum Guidelines for Undergraduate Programs in Data Science
Veaux, R. D. D., Agarwal, M., Averett, M., Baumer, B. S., Bray, A. P., Bressoud, T. C., Bryant, L., Cheng, L. Z., Francis, A. E., Gould, R. L., et al. (2017) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-060116-053930 · Cited by 287
Johnson, A. E. W., Pollard, T., & Mark, R. G. (2015) · PhysioNet · doi:10.13026/cd7z-wg25 · Cited by 261
Research works printed but not linked: 4
- Airaksinen, T. (2009). The Philosophy of Professional Ethics. In R.C. Elliot (Ed.), INSTITUTIONAL ISSUES INVOLVING ETHICS AND JUSTICE, (Vol. 1, pp. 201) in Encyclopedia of life support systems (EOLSS), Developed under the Auspices of the UNESCO, Paris, France: Eolss Publishers. http://www.eolss.net.
- Association for Computing Machinery (ACM), ACM Code of Ethics and Professional Conduct, Approved June 2018. https://www.acm.org/code-of-ethics. Cited 9 Nov 2018.
- Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women, Reuters news, 22 Oct 2018, 5:12 am. https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G. Cited 1 Nov 2018.
- Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Manzeschke, A., Winter, A., Isele, C., Deserno, T., Pallas, F., Weber, K., & Niederlag, W. (2017). Workshop: Ethische Leitlinien wissenschaftlicher Fachgesellschaften, 4 May 2017. https://gmds.de/ueber-uns/organisation/praesidiumskommissionen/ethische-fragen-in-der-medizinischen-informatik-biometrie-und-epidemiologie/. Cited 6 Nov 2018.
Cited by
The Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911
“So far, some papers have been published on the subject of teaching ethics to data scientists (Garzcarek and Steuer 2019; Burton et al. 2017; Goldsmith and Burton 2017; Johnson 2017) but by and large very little to nothing has been written about the tangible implementation of ethical goals and values.”
BackgroundRasool, R. U., Ahmad, H. F., Rafique, W., Qayyum, A., & Qadir, J. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103332 · Cited by 177
Metadata
- Authors
- Garzcarek, U., & Steuer, D.
- Affiliations
- Helmut Schmidt University (DE)
- Corresponding author
- Steuer, Detlef
- ORCID
- Steuer, Detlef
- Venue
- Studies in Classification, Data Analysis, and Knowledge Organization
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 151-169
- ISSN
- 1431-8814 (ISSN-L)
- 2198-3321
- OpenAlex
- W2910686210
- Cited by
- 21
- References
- 14
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2022: 5 · 2021: 2 · 2020: 4
- FWCI
- 6.36
- Type
- book chapter
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Studies in classification, data analysis, and knowledge organization (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Engineering › General Engineering › Flooding and Environmental Impact
- Keywords
- data science ethics, professional ethics, moral norms, data scientists, statisticians, codes of conduct, code of practice, fairness and justice, beneficence and non-maleficence
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- Garzcarek, U., & Steuer, D. (2019). Approaching Ethical Guidelines for Data Scientists. Studies in Classification, Data Analysis, and Knowledge Organization. https://doi.org/10.1007/978-3-030-25147-5_10
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
