人工智能合规性-连接数据科学和法律的挑战

ACM Journal of Data and Information Quality (JDIQ) Pub Date : 2022-05-05 DOI:10.1145/3531532

P. Hacker, Felix Naumann, Tobias Friedrich, Stefan Grundmann, Anja Lehmann, Herbert Zech

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引用次数: 1

摘要

这篇愿景文章概述了我们所谓的人工智能合规的主要组成部分，旨在弥合两个互补的研究领域:计算机科学和法律。此类研究的目标是建模、测量和影响人工智能工件(如数据、模型和应用程序)的质量，然后促进对法律标准的遵守。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AI Compliance – Challenges of Bridging Data Science and Law

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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ACM Journal of Data and Information Quality (JDIQ)

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