arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.07262cs.CYcs.AI
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蒙特利尔AI伦理研究所(MAIEI)编写的关于负责的AI出版规范的报告

Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI

Montreal AI Ethics Institute (MAIEI)(蒙特利尔AI伦理研究所);Microsoft(微软);Algora Lab(阿戈拉实验室)

Abhishek Gupta, Camylle Lanteigne, Victoria Heath

摘要:

科学和技术的历史表明,科学理论和研究中看似无害的发展使现实世界的应用对人类产生了重大的负面影响。为了确保人工智能的科学和技术以人道的方式发展,我们必须制定研究出版规范,这些规范要基于我们对人工智能潜在威胁和用例的日益了解。不幸的是,很难为负责任的人工智能创建一套出版规范,因为人工智能领域目前在这项技术的研究,开发,资助等方面是分散的,为了研究这一挑战并找到解决方案,蒙特利尔人工智能伦理研究所(MAIEI)于2020年5月与人工智能伙伴关系共同举办了两次公开磋商。这些会议研究了负责任的人工智能的潜在出版规范,目的是为出版商创建一套明确的建议和前进方向。MAIEI在其提交的文件中提供了六项初步建议,包括:1)创建工具来导航出版决策,2)提供页码扩展,3)发展同行网络,4)要求广泛的影响声明,5)要求公布预期结果,以及6)修改同行评审过程。在考虑了对这些建议的潜在担忧之后,包括限制创新和为人工智能研究创造“黑市”,MAIEI为出版商概述了三条前进的道路,包括:1)明确和一致地说明建立规范的必要性,2)作为一个社区协调和建立信任,3)改变方法。

英文摘要:

The history of science and technology shows that seemingly innocuous developments in scientific theories and research have enabled real-world applications with significant negative consequences for humanity. In order to ensure that the science and technology of AI is developed in a humane manner, we must develop research publication norms that are informed by our growing understanding of AI's potential threats and use cases. Unfortunately, it's difficult to create a set of publication norms for responsible AI because the field of AI is currently fragmented in terms of how this technology is researched, developed, funded, etc. To examine this challenge and find solutions, the Montreal AI Ethics Institute (MAIEI) co-hosted two public consultations with the Partnership on AI in May 2020. These meetups examined potential publication norms for responsible AI, with the goal of creating a clear set of recommendations and ways forward for publishers. In its submission, MAIEI provides six initial recommendations, these include: 1) create tools to navigate publication decisions, 2) offer a page number extension, 3) develop a network of peers, 4) require broad impact statements, 5) require the publication of expected results, and 6) revamp the peer-review process. After considering potential concerns regarding these recommendations, including constraining innovation and creating a "black market" for AI research, MAIEI outlines three ways forward for publishers, these include: 1) state clearly and consistently the need for established norms, 2) coordinate and build trust as a community, and 3) change the approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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