阅读概述
加速实现人工智能与机器学习技术的社会效益，同时确保公平、透明、问责与社会影响，保护隐私。
人工智能是推动第四次工业革命的“软”引擎。这项技术正在对家庭、企业，甚至政治进程产生深远影响。以机器人这一具象形式展现的人工智能技术，很快便能驾驶汽车、看管仓库，并照顾老人和孩子。虽然人工智能有望解决一些最紧迫的社会问题，但同时也带来了一系列挑战，例如神秘的“黑箱”算法、不道德的数据使用，以及潜在的工作替代问题。
随着机器学习技术的快速发展，人工智能在日常生活各个方面的应用范围与规模也在不断扩大。由于该项技术可以自行学习，并做出改变，因此就需要多方利益相关者开展合作，共同优化其责任性、透明度与公正性，保护隐私以赢得公众的信任。
该平台汇聚了公共与私营部门的主要利益相关者，共同制定并测试政策框架，以加速实现人工智能与机器学习的效益，并降低其风险。项目领域包括制定保护儿童的标准、创建适应21世纪的监管机构，以及应对面部识别技术带来的特殊挑战。
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In collaboration with the Markkula Center for Applied Ethics at Santa Clara University, USA
Part II Pilot phase: Self‑assessment, the audit management system and certification
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人们普遍认为，人工智能（AI）的推行将有助于简化我们的工作。甚至有人担心，AI的使用可能会让我们完全丧失对某些岗位的需求。
像其他人一样，经济学家也在享受着大型语言模型（LLMs），感受到了它们的优势和限制。像ChatGPT这样的大型语言模型确实是令人着迷的艺术。但其中一个关键问题是，我们能不能从这些模型中学到一些我们目前还不知道的经济学知识？
