Why Teaching Ethics to AI Practitioners Is Important

AAAI 2017 pp. 4836-4840

doi:10.1609/AAAI.V31I1.11139 /aaai/2017/goldsmith2017aaai-teaching/

Abstract

We argue that it is crucial to the future of AI that our students be trained in multiple complementary modes of ethical reasoning, so that they may make ethical design and implementation choices, ethical career decisions, and that their software will be programmed to take into account the complexities of acting ethically in the world.

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Cite

Text

Goldsmith and Burton. "Why Teaching Ethics to AI Practitioners Is Important." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.11139

Markdown

[Goldsmith and Burton. "Why Teaching Ethics to AI Practitioners Is Important." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/goldsmith2017aaai-teaching/) doi:10.1609/AAAI.V31I1.11139

BibTeX

@inproceedings{goldsmith2017aaai-teaching,
  title     = {{Why Teaching Ethics to AI Practitioners Is Important}},
  author    = {Goldsmith, Judy and Burton, Emanuelle},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {4836-4840},
  doi       = {10.1609/AAAI.V31I1.11139},
  url       = {https://mlanthology.org/aaai/2017/goldsmith2017aaai-teaching/}
}