对嵌入式人工智能应用程序的人类系统工程原理进行修订
1Mechanical Engineering, Electrical and Computer Engineering, Computer Science, George Mason University, Fairfax, VA, United States.
Frontiers in neuroergonomics
|January 18, 2024
概括
系统工程必须适应包括人工智能 (AI). 这项研究提出了新的要求,并确定了测试复杂的人工智能系统的挑战,确保安全的人工智能交互和优雅的失败.
科学领域:
- 系统工程 系统工程
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 复杂系统越来越多地使用非决定性人工智能 (AI) 而不是硬件.
- 人工智能的概率推理可能导致意想不到的失败,造成功能缺口.
- 确保人类对人工智能系统的安全监督至关重要,但缺乏标准化的测试协议.
研究的目的:
- 概述一个研究路线图复杂的人为中心的系统与嵌入式AI.
- 解决测试和验证人工智能驱动系统的挑战.
- 为安全有效的AI系统设计和运行提出新的要求.
主要方法:
- 提出了14项新的功能和任务要求考虑.
- 引入了11个新的/修改的非功能性要求 ("ilities"),包括可审计性和被动脆弱性.
- 在AI测试,评估,验证和验证 (TEVV) 中确定了10个问题领域.
主要成果:
- 突出了人工智能不确定性和人类监督的相互联系.
- 定义了新的要求,强调了优雅的故障和系统的稳定性.
- 强调需要对人工智能系统进行风险估计和性能值的确定.
结论:
- 多学科团队对于设计安全的人工智能系统至关重要.
- 需要专门的人工智能维护工作人员来确保数据和模型的质量.
- 开发强大的测试和验证策略对于可靠的人类-人工智能系统至关重要.
关键词:
人工智能的人工智能是人工智能.自主性 自主性 自主性人类 人类 人类 人类 人类 人类 人类要求要求要求要求要求要求要求要求要求要求要求系统工程是系统工程.测试 测试 测试 测试 测试劳动力发展 劳动力发展更多相关视频
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