Correction of AI systems by linear discriminants: Probabilistic foundations

@article{Gorban2018CorrectionOA,
  title={Correction of AI systems by linear discriminants: Probabilistic foundations},
  author={Alexander N. Gorban and A. Golubkov and Bogdan Grechuk and E. M. Mirkes and I. Tyukin},
  journal={Inf. Sci.},
  year={2018},
  volume={466},
  pages={303-322}
}
  • Alexander N. Gorban, A. Golubkov, +2 authors I. Tyukin
  • Published 2018
  • Computer Science, Mathematics
  • Inf. Sci.
  • Abstract Artificial Intelligence (AI) systems sometimes make errors and will make errors in the future, from time to time. These errors are usually unexpected, and can lead to dramatic consequences. Intensive development of AI and its practical applications makes the problem of errors more important. Total re-engineering of the systems can create new errors and is not always possible due to the resources involved. The important challenge is to develop fast methods to correct errors without… CONTINUE READING
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