ML Anthology

Towards Trust, Transparency and Liability in AI / as Systems

Eva Thelisson
IJCAI 2017 pp. 5215-5216
doi:10.24963/IJCAI.2017/767 /ijcai/2017/thelisson2017ijcai-trust/

Abstract

The research problem being investigated in this article is how to develop governance mechanisms and collective decision-making processes at a global level for Artificial Intelligence systems (AI) and Autonomous systems (AS), which would enhance confidence in AI and AS.

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Cite

Text

Thelisson. "Towards Trust, Transparency and Liability in AI / as Systems." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/767

Markdown

[Thelisson. "Towards Trust, Transparency and Liability in AI / as Systems." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/thelisson2017ijcai-trust/) doi:10.24963/IJCAI.2017/767

BibTeX

@inproceedings{thelisson2017ijcai-trust,
  title     = {{Towards Trust, Transparency and Liability in AI / as Systems}},
  author    = {Thelisson, Eva},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {5215-5216},
  doi       = {10.24963/IJCAI.2017/767},
  url       = {https://mlanthology.org/ijcai/2017/thelisson2017ijcai-trust/}
}