Maintaining Human Expertise in an AI-driven World

在人工智能驱动的世界中保持人类的专业知识

• 批准号: DE240100269
• 负责人: Dr Tapani Rinta-Kahila
• 金额: $ 31.01万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100269
• 关键词: Maintaining; Human; Expertise; AI; driven

While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes workers' skills. Its expected outcomes include a new systems theory of skill erosion and organisational guidelines for managing artificial intelligence. These can help organisations maximise human potential by striking a balance between relying on automation and maintaining workers' skills.

虽然具有人工智能的信息系统越来越多地用于支持或自动化工作任务，但这可能会以开发和保留工人的基本技能为代价。在需要人类技能的情况下，技能侵蚀可能危及安全和公平。这个创新项目利用系统思维，案例研究和行动设计研究来研究如何利用人工智能塑造工人的技能。其预期成果包括一个新的技能侵蚀系统理论和管理人工智能的组织指南。这些可以帮助组织通过在依赖自动化和保持工人技能之间取得平衡来最大限度地发挥人力潜力。