Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW)(2021)
摘要
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems built on machine learning methods can become crucial. Inductive Logic Programming (ILP) is a subfield of symbolic AI aimed to automatically learn declarative the...
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关键词
explainable automatic recruitment,lfit inductive programming,ai
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