Toward safe AI

Author:

Morales-Forero Andres,Bassetto Samuel,Coatanea Eric

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Human-Computer Interaction,Philosophy

Reference87 articles.

1. Abràmoff MD, Tobey D, Char DS (2020) Lessons learned about autonomous ai: finding a safe, efficacious, and ethical path through the development process. Am J Ophthalmol 214:134–142

2. Agarwal A, Beygelzimer A, Dudík M, Langford J, Wallach H (2018) A reductions approach to fair classification. In International conference on machine learning, pp 60–69

3. Agarwal S, Farid H, Gu Y, He M, Nagano K, Li H (2019) Protecting world leaders against deep fakes. In Cvpr workshops, pp 38–45

4. Akatsuka J, Yamamoto Y, Sekine T, Numata Y, Morikawa H, Tsutsumi K (2019) Illuminating clues of cancer buried in prostate mr image: deep learning and expert approaches. Biomolecules 9(11):673

5. Alvarez-Melis D, Jaakkola TS (2018) Towards robust interpretability with self- explaining neural networks. http://arxiv.org/abs/1806.07538. Accessed 29 Jan 2021

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2. XAI for Medicine by ChatGPT Code interpreter;Proceedings of the 2023 5th International Conference on Big-data Service and Intelligent Computation;2023-10-20

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