Artificial Intelligence, Algorithms and the Risk of Discrimination – EC Library Guide: Introduction
Introduction
AI, algorithms and the risk of discrimination
AI systems must be technically robust to ensure they are fit for purpose and do not produce biased results, such as false positives or negatives, that disproportionately affect marginalised groups, including those based on racial or ethnic origin, sex, age, and other protected characteristics.
High-risk systems will also need to be trained and tested with sufficiently representative datasets to minimise the risk of unfair biases embedded in the model and ensure that these can be addressed through appropriate bias detection, correction and other mitigating measures.
Source: European Commission
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