CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页

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CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
摘要:

Issue BriefMarch 2024An Argument for Hybrid AI Incident ReportingLessons Learned from Other Incident Reporting SystemsAuthors Ren Bin Lee Dixon Heather Frase Center for Security and Emerging Technology | 1 Executive Summary AI incidents have been occurring with growing frequency since AI capabilities began advancing rapidly in the last decade. Despite the number of incidents that have emerged during the development and deployment of AI, there is not yet a concerted U.S. policy effort to monitor, document, and compile AI incidents and use the data to enhance our understanding of AI harm and inform AI safety policies in order to foster a robust AI safety ecosystem. In response to this critical gap, the objectives of this paper are to: ● Examine and assess existing AI incident reporting initiatives—both databases and government initiatives. ● Elicit lessons from incident reporting databases from other sectors. ● Provide recommendations based on our analysis. ● Propose a federated* and st

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CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页

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CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
CSET2024年混合AI事件报告框架论证其他行业事件报告系统中的经验教训总结报告英文版49页
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作者: 分类:机构报告 属性:49 页 大小:6310 KB 格式:PDF 时间:2025-05-15

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