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人类人工智能团队合作从 1A 级迈向 2B 级.pdf

上传人: 哆哆 编号:631178 2025-04-19 12页 1.26MB

1、An Agency of the European Union1HUMAN AI Teaming and moving from Level 1A to 2BOr 2B or not 2B is that a question?EASA Concept Paper for AI2EASA AI trustworthiness frameworkSafety&Security Assessments3AI classification schemeEASA describes three general AI levels Based on industry regarding the type

2、s of use cases foreseen by AI-based systems,Considering a staged approach that industrial stakeholders are planning for the deployment of AI applications,Starting with assisting functions(Level 1 AI),then making a step towards more human-AI teaming(Level 2 AI)and at last seeking for advanced automat

3、ion of the machine(Level 3 AI).4AI Classification schemeAI level Function allocated to the system to contribute to the high-level task Authority of the end user Level 1A Human augmentation Automation support to information acquisition Full Automation support to information analysis Full Level 1B Hum

4、an assistance Automation support to decision-making Full Level 2A Human-AI cooperation Directed decision and automatic action implementation Full Level 2B Human-AI collaboration Supervised automatic decision and action implementation Partial Level 3A Safeguarded advanced automation Safeguarded autom

5、atic decision and action implementation Limited,upon alerting Level 3B Non-supervised advanced automation Non-supervised automatic decision and action implementation Not applicable IncreasingAutomation withcooperation or collaborationAdvanced automationNo automaticdecision-making at high-level taskI

6、ncreasingauthority of the machine5AI classification schemeAnticipated MOC Anticipated MOC-CL-01-2:The following considerations support the delineation of boundaries between AI levels:The boundary between level 1A and level 1B is based on the notion of decision-making.Level 1A covers the use of AI/ML

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欧洲航空安全局(EASA)提出了一份关于人工智能(AI)的构想纸,其中描述了三个一般性的人工智能水平。这些级别基于行业对AI系统预期用途的分类,并考虑了工业利益相关者计划部署AI应用的分阶段方法。从辅助功能(Level 1 AI)开始,然后迈向更高级的人机团队合作(Level 2 AI),最后追求机器的高级自动化(Level 3 AI)。 Level 1A和1B主要关注人类增强和决策支持,而Level 2A描述了人类-AI合作,其中系统可以自主做出决策并在自动执行行动。Level 2B进一步深化了这种合作,AI系统在决策制定上具有更大的自主权,但仍受到用户的监督。到了Level 3A和3B,系统具备了更高级别的自动化,但在关键任务决策方面,用户的干预能力受到限制。 EASA通过考虑决策制定、合作与协作、以及任务分配模式和方案,来界定不同AI级别之间的边界。例如,Level 1A与1B的区别在于信息处理与决策支持;Level 2A与2B的区别在于决策的自主性与行动的自动实施;而Level 3A与3B的区别在于AI系统权威的高级别与用户的有限监督。 总的来说,EASA的分类框架旨在为AI在航空领域的应用提供明确的指导,确保随着自动化水平的提高,安全性和可靠性得到持续保障。
"AI在航空领域的应用有哪些级别?" "人工智能如何实现与人类的协作和合作?" "EASA如何定义人工智能的分类和自动化程度?"
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