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).
- Standard Committee
- C/S2ESC - Software & Systems Engineering Standards Committee
- Status
- Active PAR
- PAR Approval
- 2023-09-21
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/S2ESC - Software & Systems Engineering Standards Committee
- Working Group
-
ALGB-WG - Algorithmic Bias Working Group
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Gerlinde Weger
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