Abstract
PreviewThis document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.
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Status: PublishedPublication date: 2021-11
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Edition: 1Number of pages: 39
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- ICS :
- 35.020 Information technology (IT) in general
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Format | Language | |
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std 1 166 | PDF + ePub | |
std 2 166 | Paper |
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