New IEEE Standard - Active - Draft. This draft standard describes processes and methodologies to help users address issues of bias in the creation of algorithms. Possible elements include (but are not limited to): criteria for the selection of validation data sets for bias quality control; guidelines on establishing and communicating the application boundaries for which the algorithm has been designed and validated to guard against unintended consequences arising from out-of-bound application of algorithms; suggestions for user expectation management to help mitigate bias due to incorrect interpretation of systems outputs by users (e.g. correlation vs. causation).
artificial intelligence, ethics, bias, fairness, discrimination, algorithm, algorithmic system
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