检验现有AI指南在人机协作中的适用性并提出改进方案
Enhancing Human-Robot Collaboration through Existing Guidelines: A Case Study Approach
- 通过案例研究评估现有指南在人机协作系统中的适用性
- 发现指南在动态环境与用户需求变化下存在滞后性
- 为关键系统的人机交互优化提供可落地的改进范例
随着人工智能系统日益普及，其开发、运行及社会影响引发广泛关注。在人工智能能力不断演进的背景下，建立伦理、社会和安全标准面临巨大挑战。全球正积极推进人工智能系统开发与运行的指南制定。随着人机协同任务执行的增加，持续调整人工智能系统以适应用户和环境需求变得至关重要。若人工智能发展未能与用户及环境变化同步，可能引发伦理与安全问题。本文通过案例研究，评估现有指南在人机协作系统中的适用性与有效性，并探讨其局限性。我们分析目标系统是否满足现有指南要求，提出增强人机交互的改进措施。研究贡献包括对指南的解读与应用洞察、系统优化的具体实例，以及指南在实际应用中的边界与限制。我们认为这些成果将推动未来人机融合关键系统的验证与认证讨论。
原文摘要 · Abstract (English)
As AI systems become more prevalent, concerns about their development, operation, and societal impact intensify. Establishing ethical, social, and safety standards amidst evolving AI capabilities poses significant challenges. Global initiatives are underway to establish guidelines for AI system development and operation. With the increasing use of collaborative human-AI task execution, it's vital to continuously adapt AI systems to meet user and environmental needs. Failure to synchronize AI evolution with changes in users and the environment could result in ethical and safety issues. This paper evaluates the applicability of existing guidelines in human-robot collaborative systems, assesses their effectiveness, and discusses limitations. Through a case study, we examine whether our target system meets requirements outlined in existing guidelines and propose improvements to enhance human-robot interactions. Our contributions provide insights into interpreting and applying guidelines, offer concrete examples of system enhancement, and highlight their applicability and limitations. We believe these contributions will stimulate discussions and influence system assurance and certification in future AI-infused critical systems.
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