论文标题

负责任的机器学习系统AI治理的简要概述

A Brief Overview of AI Governance for Responsible Machine Learning Systems

论文作者

Gill, Navdeep, Mathur, Abhishek, Conde, Marcos V.

论文摘要

各种规模,各个行业和领域的组织都利用人工智能(AI)技术来解决他们在运营,客户体验等方面最大的挑战。但是,由于AI的概率性质,与传统技术相关的风险要大得多。研究表明,这些风险的范围从监管,合规性,声誉和用户信任到财务甚至社会风险。根据组织的性质和规模,AI技术可能会带来重大风险,如果不以负责任的方式使用。该立场论文旨在简要介绍AI治理,该框架旨在监督负责使用的AI,以防止和减轻风险。拥有这样的框架不仅可以管理风险,而且还可以从AI项目中获得最大价值,并在组织范围内采用AI的一致性。

Organizations of all sizes, across all industries and domains are leveraging artificial intelligence (AI) technologies to solve some of their biggest challenges around operations, customer experience, and much more. However, due to the probabilistic nature of AI, the risks associated with it are far greater than traditional technologies. Research has shown that these risks can range anywhere from regulatory, compliance, reputational, and user trust, to financial and even societal risks. Depending on the nature and size of the organization, AI technologies can pose a significant risk, if not used in a responsible way. This position paper seeks to present a brief introduction to AI governance, which is a framework designed to oversee the responsible use of AI with the goal of preventing and mitigating risks. Having such a framework will not only manage risks but also gain maximum value out of AI projects and develop consistency for organization-wide adoption of AI.

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