Ethical Intelligence

Authors

  • Flávio S. Corrêa da Silva University of São Paulo
  • Nina S. T. Hirata University of São Paulo

DOI:

https://doi.org/10.5753/compbr.2022.47.4401

Keywords:

Symbolic AI, Adaptive AI, Ethical AI Systems

Abstract

This paper discusses the ethics of AI systems development. To this end, it presents the two complementary approaches in AI activities - the symbolic one, based on logical systems, and the adaptive one, based on machine learning. Then, it discusses what an ethical system is and the three different classes of such a system: based on virtues, based on duties, and based on consequences of actions. Moreover, it addresses the need to formulate technical requirements based on the ethical system and ways to measure how intelligent systems meet such requirements. Finally, they exemplify some initiatives in this direction.

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References

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Correa da Silva F.S. and Sawhney S. Good design can go a long way to support ethical behaviour of intelligent systems in healthcare. Submitted, 2022.

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UNESCO World Commission on the Ethics of Scientific Knowledge and Technology. Preliminary study on the Ethics of Artificial Intelligence. UNESCO, 2019.

Vallor S. An introduction to data ethics. Course module, Santa Clara, CA: Markkula Center for Applied Ethics, 2018.

Published

2022-07-01

How to Cite

Silva, F. S. C. da, & Hirata, N. S. T. (2022). Ethical Intelligence. Brazil Computing, (47), 15–18. https://doi.org/10.5753/compbr.2022.47.4401

Issue

Section

Papers