提高AI模型和服务透明度的经验
Experiences with Improving the Transparency of AI Models and Services
摘要：
人工智能模型和服务被用于越来越多的高风险领域，因此需要提高透明度。与此相一致的是，已经出现了一些关于更高质量和更一致的人工智能数据、模型和系统文档的建议。然而，人们对这些新形式文件的制作者或消费者的需求知之甚少。通过半结构化的开发人员访谈和两个文档创建练习，我们对这些需求以及创建准确有用的AI文档所面临的各种挑战有了更清晰的了解。根据这项工作的观察结果，再加上在多次设计探索和利益相关者对话中收到的反馈，我们提出了简化人工智能事实收集和灵活呈现的建议，以提高透明度。
英文摘要：
AI models and services are used in a growing number of highstakes areas, resulting in a need for increased transparency. Consistent with this, several proposals for higher quality and more consistent documentation of AI data, models, and systems have emerged. Little is known, however, about the needs of those who would produce or consume these new forms of documentation. Through semi-structured developer interviews, and two document creation exercises, we have assembled a clearer picture of these needs and the various challenges faced in creating accurate and useful AI documentation. Based on the observations from this work, supplemented by feedback received during multiple design explorations and stakeholder conversations, we make recommendations for easing the collection and flexible presentation of AI facts to promote transparency.
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。
