An Analysis of Opinions on AI Ethics Based on Network Motifs using the Case Method
Author:
Affiliation:
1. Graduate School of Creative Science and Engineering, Waseda University, Japan
2. Graduate School of Information, Production and Systems, Waseda University, Japan
Funder
JSPS KAKENHI
JST SPRING
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3587828.3587873
Reference30 articles.
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2. Fjeld J. Achten N. Hilligoss H. Nagy A. and Srikumar M. 2020. Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication (2020-1). Fjeld J. Achten N. Hilligoss H. Nagy A. and Srikumar M. 2020. Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication (2020-1).
3. Nyholm S. and Smids J. 2020. Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic. Ethics Inf Technol 22(4) 335-344. Nyholm S. and Smids J. 2020. Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic. Ethics Inf Technol 22(4) 335-344.
4. Banks , V. A. , Plant , K. L. , & Stanton , N. A. ( 2018 ). Driver error or designer error: Using the perceptual cycle model to explore the circumstances surrounding the fatal Tesla crash on 7th May 2016. Saf Sci 108, 278-285. Banks, V. A., Plant, K. L., & Stanton, N. A. (2018). Driver error or designer error: Using the perceptual cycle model to explore the circumstances surrounding the fatal Tesla crash on 7th May 2016. Saf Sci 108, 278-285.
5. Dressel J. and Farid H. 2018. The accuracy fairness and limits of predicting recidivism. Sci Adv 4(1) eaao5580. Dressel J. and Farid H. 2018. The accuracy fairness and limits of predicting recidivism. Sci Adv 4(1) eaao5580.
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