美国证券交易委员会11月9日举行圆桌会：讨论机器可理解数据与超级智能的风险与成本
美国证券交易委员会（SEC）11月9日在位于华盛顿的总部举行公开圆桌会，主题为「超级智能时代的机器可理解数据」，讨论市场与投资公众如何使用机器可理解数据开发超级智能（SI）应用，以及随之而来的风险与成本。会议从上午9时持续至下午3时30分（东部时间），向公众开放，并在 SEC 网站直播。
圆桌会由委员 Mark Uyeda 的录制致辞和首席经济学家兼经济与风险分析部主任 Joshua White 的开幕致辞开场。数据标准与创新办公室的会计师 Bob Luby 随后介绍 SEC 的数据集及其使用情况。两场专题讨论分别聚焦市场如何使用超级智能与机器可理解数据，以及相关风险、成本与委员会如何更好地促进超级智能应用。
White 在会前表示：「在超级智能时代，高质量信息至关重要。这次圆桌会将就公众对机器可理解数据与超级智能的使用，以及相关风险与成本，展开有见地的讨论。」他说，市场参与者的反馈将帮助 SEC 工作人员了解市场与投资公众如何把机器可理解数据用于超级智能方案，并为委员会如何更好地促进超级智能提供参考。
机器可理解数据是指按统一标准结构化、带标签的申报数据，可供软件直接读取和处理。SEC 表示，这次圆桌会不附带任何规则提案，收集到的反馈将供工作人员后续工作参考，会议录像将在会后上网公布。
（来源：美国证券交易委员会）
SEC Holds Nov. 9 Roundtable on Machine-Understandable Data in the Age of Super Intelligence
The U.S. Securities and Exchange Commission (SEC) held a public roundtable at its headquarters in Washington, D.C., on November 9, titled “Machine-Understandable Data in the Age of Super Intelligence,” to discuss the use of machine-understandable data and Super Intelligence (SI) and related risks and costs. The roundtable ran from 9 a.m. to 3:30 p.m. Eastern Time, was open to the public and was streamed live on SEC.gov.
The roundtable opened with recorded remarks by Commissioner Mark Uyeda and opening remarks by Joshua White, the SEC's Chief Economist and Director of the Division of Economic and Risk Analysis. Bob Luby, an accountant in the SEC Office of Data Standards and Innovation, then gave a presentation on the Commission's data sets and their usage. Two panel discussions followed, the first on how the market uses SI and machine-understandable data, and the second on the risks and costs related to SI and machine-understandable data and how the SEC can better facilitate SI.
“In the age of SI, high-quality information is critical. The roundtable will facilitate insightful discussions on the public's use of machine-understandable data and SI along with associated risks and costs,” White said ahead of the event. “Feedback from market participants will give the SEC staff insight on how the market and investing public are using machine-understandable data for SI solutions and inform the SEC staff on how the Commission can better facilitate SI.”
Machine-understandable data refers to disclosure data that is structured and tagged to uniform standards so software can read and process it directly. The SEC said no rule proposal accompanied the roundtable, that the feedback would inform the staff's work, and that a recording would be available at a later date.
(Source: U.S. Securities and Exchange Commission)
来源：美国证券交易委员会
发布：GSM·美国（发布链接）
图片来源：图：位于华盛顿的美国证券交易委员会总部大楼。ajay_suresh 摄，CC BY 4.0，经 Wikimedia Commons。 / Photo: The U.S. Securities and Exchange Commission headquarters in Washington, D.C. Photo by ajay_suresh, CC BY 4.0, via Wikimedia Commons.
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