Safe AI -- How is this Possible?

• URL: http://arxiv.org/abs/2201.10436v1
• Date: Tue, 25 Jan 2022 16:32:35 GMT
• Title: Safe AI -- How is this Possible?
• Authors: Harald Rue{\ss}, Simon Burton
• Abstract summary: Traditional safety engineering is coming to a turning point moving from deterministic, non-evolving systems operating in well-defined contexts to increasingly autonomous and learning-enabled AI systems acting in largely unpredictable operating contexts. We outline some of underlying challenges of safe AI and suggest a rigorous engineering framework for minimizing uncertainty, thereby increasing confidence, up to tolerable levels, in the safe behavior of AI systems.
• Score: 0.45687771576879593
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Ttraditional safety engineering is coming to a turning point moving from deterministic, non-evolving systems operating in well-defined contexts to increasingly autonomous and learning-enabled AI systems which are acting in largely unpredictable operating contexts. We outline some of underlying challenges of safe AI and suggest a rigorous engineering framework for minimizing uncertainty, thereby increasing confidence, up to tolerable levels, in the safe behavior of AI systems.

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