Exploring emergent human-robot interactions and work configurations in critical organizational contexts

探索关键组织环境中的新兴人机交互和工作配置

• 批准号: 2700685
• 金额: --
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2700685
• 关键词: Exploring; emergent; human; robot; interactions

Advances in artificial intelligence (AI), robotics and automation present both game-changingopportunities and existential threats to business and organisations (Sebastian et al., 2020).Understanding how to integrate intelligent systems with human knowledge and efforts istherefore important to best use these technologies, while also considering ethical dilemmas inthe management and governance of these systems. These new technologies are generative,malleable, interactive and open (Klein and Watson-Manheim, 2021), hence they influencethe nature of work, alter existing leadership styles and create new capabilities andorganisational structures, making their management a complex technical and social task(Baptista et al., 2020). This study will explore the emergent integration of autonomous multirobot(AMR) technology and swarm robotics in organisations, especially in the context ofenvironmental monitoring and disaster prevention and handling. Moreover, it will investigatehow these technologies can be aligned with fundamental human values as expressed in theUnited Nations Sustainable Development Goals (SDG), particularly ensuring they actresponsibly, contributing to the literature on social responsibility and information systemssecurity.

人工智能（AI）、机器人和自动化的进步为企业和组织带来了改变游戏规则的机会和生存威胁（塞巴斯蒂安等人，2020).因此，了解如何将智能系统与人类的知识和努力相结合，对于最好地利用这些技术非常重要，同时也要考虑这些系统的管理和治理中的伦理困境。这些新技术具有生成性、可塑性、互动性和开放性（Klein和Watson-Manheim，2021），因此它们影响了工作的性质，改变了现有的领导风格，创造了新的能力和组织结构，使其管理成为一项复杂的技术和社会任务（Baptista等人，2020年）。本研究将探讨自主多机器人（AMR）技术和群体机器人技术在组织中的紧急整合，特别是在环境监测和灾害预防和处理的背景下。此外，它将研究这些技术如何与联合国可持续发展目标（SDG）中表达的基本人类价值观保持一致，特别是确保它们负责任地行事，为社会责任和信息系统安全文献做出贡献。