Abstract
PreviewThis document surveys topics related to trustworthiness in AI systems, including the following:
— approaches to establish trust in AI systems through transparency, explainability, controllability, etc.;
— engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and
— approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems.
The specification of levels of trustworthiness for AI systems is out of the scope of this document.
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Status: PublishedPublication date: 2020-05
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Edition: 1Number of pages: 43
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- ICS :
- 35.020 Information technology (IT) in general
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| Format | Language | |
|---|---|---|
| std 1 166 | PDF + ePub | |
| std 2 166 | Paper |
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Artificial intelligence holds the potential to deliver enormous benefits to society and a management system standard might be the answer everyone is looking for.
It’s widely accepted that artificial intelligence will have a huge impact on our lives in the coming decades – but how can we be sure this new technology is not just innovative and helpful, but also trustworthy?
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