IEEE Standard for Algorithmic Bias Considerations: IEEE Std 7003™-2024

Systems and Software Engineering Standards Committee

doi:10.1109/IEEESTD.2025.10851955

IEEE Standard for Algorithmic Bias Considerations: IEEE Std 7003™-2024

Systems and Software Engineering Standards Committee

School of Computing, Engineering and Physical Sciences

Research output: Book/Report › Commissioned report › peer-review

Abstract

The processes and methodologies to help users address issues of bias in the creation of algorithms are described in this standard. 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, and suggestions for user expectation management to help mitigate bias due to incorrect interpretation of systems outputs by users (e.g. correlation vs. causation).

Original language	English
Place of Publication	New York
Publisher	IEEE
Number of pages	57
ISBN (Electronic)	9798855716191
ISBN (Print)	9798855716207
DOIs	https://doi.org/10.1109/IEEESTD.2025.10851955
Publication status	Published - 24 Jan 2025

Keywords

algorithm
algorithmic system
artificial intelligence
bias
discrimination
ethics
fairness
IEEE 7003™

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10.1109/IEEESTD.2025.10851955

Cite this

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AB - The processes and methodologies to help users address issues of bias in the creation of algorithms are described in this standard. 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, and suggestions for user expectation management to help mitigate bias due to incorrect interpretation of systems outputs by users (e.g. correlation vs. causation).

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KW - algorithmic system

KW - artificial intelligence

KW - bias

KW - discrimination

KW - ethics

KW - fairness

KW - IEEE 7003™

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IEEE Standard for Algorithmic Bias Considerations: IEEE Std 7003™-2024

Abstract

Keywords

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