This vision article outlines the main building blocks of what we term AI Compliance, an effort to bridge two complementary research areas: computer science and the law. Such research has the goal to model, measure, and affect the quality of AI artifacts, such as data, models, and applications, to then facilitate adherence to legal standards.
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CITATION STYLE
Hacker, P., Naumann, F., Friedrich, T., Grundmann, S., Lehmann, A., & Zech, H. (2022). AI Compliance - Challenges of Bridging Data Science and Law. Journal of Data and Information Quality, 14(3). https://doi.org/10.1145/3531532