Artificial Intelligence: Practical and Ethical Challenges-Reference-Cited by-同舟云学术

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Artificial Intelligence: Practical and Ethical Challenges

Published:2022 Issue: Volume: Page:59-71
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
Short-container-title:

Author:

Rice Sophie,Maglaras Leandros^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96630-0_3

Reference31 articles.

1. S.L. Anderson, M. Anderson, A prima facie duty approach to machine ethics: machine learning of features of ethical dilemmas, prima facie duties, and decision principles through a dialogue with ethicists. Mach. Ethics 476–492 (2011)

2. L. Aristodemou, F. Tietze, The state-of-the-art on intellectual property analytics (IPA): a literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (ip) data. World Pat. Inform. 55, 37–51 (2018)

3. E. Awad, S. Dsouza, R. Kim, J. Schulz, J. Henrich, A. Shariff, J.F. Bonnefon, I. Rahwan, The moral machine experiment. Nature 563(7729), 59–64 (2018)

4. S. Bird, K. Kenthapadi, E. Kiciman, M. Mitchell, Fairness-aware machine learning: practical challenges and lessons learned, in Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (2019), pp. 834–835

5. G. Booch, It is cold, and lonely. IEEE Softw. 33(3), 7–9 (2016)

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