Proceedings of the International Workshop on Software Fairness 2018
DOI: 10.1145/3194770.3194773
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IEEE P7003™ standard for algorithmic bias considerations

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Cited by 19 publications
(14 citation statements)
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“…Surprisingly, we found nine papers that expanded on the legal and ethical implication of gender biases in automated systems (Katell et al, 2020 ; Fleisher, 2021 ). This includes a paper by Koene et al, which is a work-in-progress paper regarding an IEEE industry standard to prevent algorithmic biases (Koene et al, 2018 ). Similarly, a paper by Karimi et al discusses the presence of gender bias in criminal recidivism and highlights how a biased system affect female prisoners (Karimi-Haghighi and Castillo, 2021 ).…”
Section: Resultsmentioning
confidence: 99%
“…Surprisingly, we found nine papers that expanded on the legal and ethical implication of gender biases in automated systems (Katell et al, 2020 ; Fleisher, 2021 ). This includes a paper by Koene et al, which is a work-in-progress paper regarding an IEEE industry standard to prevent algorithmic biases (Koene et al, 2018 ). Similarly, a paper by Karimi et al discusses the presence of gender bias in criminal recidivism and highlights how a biased system affect female prisoners (Karimi-Haghighi and Castillo, 2021 ).…”
Section: Resultsmentioning
confidence: 99%
“…However, the technical solution of ensuring that the number of females selected for interviews matches the distribution of females in the training data is a statistical principle and not an ethical principle. To illustrate how an ethical approach to bias is different from a technical approach, take, for example, the IEEE P7003 Standard for Algorithmic Bias Considerations [22], which states that "Unjustified bias refers to differential treatment of individuals based on criteria for which no operational justification is given." Whether bias is justified or not -which is another way of saying whether it is right or wrong -is a question of values that cannot be answered by appealing to the scientific method.…”
Section: A Ethics In Contextmentioning
confidence: 99%
“…Roadmaps to develop ethical software are proposed [13,28], where the needs for methods to build ethical software, to evaluate the compatibility of the software with human values, and to help stakeholders formulate their values are highlighted. In this direction, Hussain et al [78] and the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems [97], respectively, argue for a collaborative framework to create software design patterns including social values (such values would be unwanted biases and different types of unfairness in our case) and for standards on algorithmic biases in order to provide a development framework that could support the creation of value-aligned algorithmic software. We believe this is also highly relevant for the data management community as, for instance, the data schemas developed in discussion with stakeholders need to be aligned with the values to integrate into the decision-support systems.…”
Section: Guidance In Software Engineeringmentioning
confidence: 99%