【国外标准】 IEEE Standard for Algorithmic Bias Considerations

Computer algorithms and analytics are playing an increasingly influential role in government, business and society. They underpin information services and autonomous intelligent systems (AIS) including but not limited to artificial intelligence applications that involve symbolic and subsymbolic technologies and their hybridization. These technologies are having a direct and significant impact on human lives across a broad socioeconomic, political and cultural spectrum. Algorithms enable the… read more exploitation of vast and varied data sources from public and private spheres to support human decision-making and actions that serve the diverse interests of the societies and economies in which they operate. However, alongside the benefits, their use is not without maleficent risk. This standard describes processes and methodologies to help users address issues of bias in the creation of algorithms and models. Elements include but are not limited to: criteria for the selection of data sets; guidelines on establishing and communicating the application boundaries for which the AIS has been designed and validated to guard against unwanted consequences arising from out-of-bounds application of an AIS; suggestions for user expectation management to help mitigate unwanted bias due to incorrect interpretation of systems outputs by users (e.g., correlation vs. causation). read less