Human Capability Augmentation through Cognitive and Autonomous Systems

Ming Hou
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Abstract

The Covid-19 pandemic reminds us again about our limited knowledge and understanding in the nature including both micro and macro worlds. We have been developing a variety of tools such as automation, robotics, internet, and artificial intelligence (AI), etc. to augment human capability for improved safety, quality, and productivity in work and life, but human lives are still vulnerable over 100 years since the last Spanish Flu in 1918. We are even more vulnerable when the tools we developed (e.g., automation and AI) do not understand human intent or follow human instructions. Recent accidents to the Boeing 737 Max passengers ring the alarm again about the imperative needs of appropriate design concepts and scientific methodologies for developing safety critical cognitive and/or autonomous systems or AI functions and collaborative partnership of human and intelligent systems. With AI and its related technologies reach their bottleneck, it is even more vital to follow scientific and systematic methodology to understand well about capacity and limitation of both human intelligence and machine intelligence so that their strengths can be optimized for a collaborative partnership when dealing with safety critical situations. This talk discusses about the needs for the researchers, designers, developers, and all practitioners who are interested in building and using 21st century human-autonomy symbiosis technologies (Why). It touches the topics of proper analytical methodologies for functional requirements of the intelligent systems, design methodologies, implementation strategies, evaluation approaches, and trusted relationships (How). These aspects will be explained with real-world examples when considering contextual constraints of technology, human capability and limitations, and functionalities that AI and autonomous systems should achieve (When). Audience will gain insights of context-based and interaction-centered design approach for developing a safe, trusted, and collaborative partnership between human and technology by optimizing the interaction between human intelligence and AI. The challenges and potential issues will also be discussed for guiding future research and development activities when augmenting human capabilities with AI, and cognitive and/or autonomous systems.
通过认知和自主系统增强人类能力
2019冠状病毒病大流行再次提醒我们,无论是微观世界还是宏观世界,我们对自然界的认识和理解都是有限的。我们一直在开发自动化、机器人、互联网、人工智能(AI)等各种工具,以增强人类在工作和生活中的安全、质量和生产力,但自1918年上一次西班牙流感以来的100多年里,人类的生命仍然脆弱。当我们开发的工具(例如自动化和人工智能)不理解人类的意图或遵循人类的指令时,我们甚至更容易受到伤害。最近发生在波音737 Max乘客身上的事故再次敲响了警钟,我们迫切需要适当的设计概念和科学方法来开发安全关键的认知和/或自主系统或人工智能功能,以及人类和智能系统的协作伙伴关系。随着人工智能及其相关技术达到瓶颈,遵循科学和系统的方法,充分了解人类智能和机器智能的能力和局限性,以便在处理安全关键情况时优化它们的优势,形成协作伙伴关系,就变得更加重要。本次演讲讨论了对构建和使用21世纪人类自治共生技术感兴趣的研究人员、设计师、开发人员和所有从业者的需求(为什么)。它涉及智能系统功能需求的适当分析方法、设计方法、实现策略、评估方法和信任关系(如何)的主题。当考虑到技术的上下文约束、人类的能力和局限性,以及人工智能和自主系统应该实现的功能(何时)时,将用现实世界的例子来解释这些方面。观众将通过优化人类智能和人工智能之间的交互,了解基于情境和以交互为中心的设计方法,从而在人与技术之间建立安全、可信和协作的伙伴关系。还将讨论这些挑战和潜在问题,以指导未来的研究和开发活动,通过人工智能、认知和/或自主系统增强人类的能力。
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