Don’t Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews

2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)(2021)

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摘要
Use of machine learning for automatic analysis of job interview videos has recently seen increased interest. Despite claims of fair output regarding sensitive information such as gender or ethnicity of the candidates, the current approaches rarely provide proof of unbiased decision-making, or that sensitive information is not used. Recently, adversarial methods have been proved to effectively remo...
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关键词
Affective computing,Annotations,Neural networks,Decision making,Machine learning,Interviews,Standards
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