Build competency aware and assuring machine learning systems

建立能力意识和保障的机器学习系统

• 批准号: DP230101122
• 负责人: Prof Lin Liu
• 金额: $ 29.59万
• 依托单位: University of South Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230101122
• 关键词: Build; competency; aware; assuring; machine

Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify its competency and decisions, to explore unknown situations and fully utilise existing expertise to deal with unknowns. The expected outcomes of the project will enable ML systems to become truely intelligent and reliable machine partners for human decision makers in a wide range of applications.

机器学习（ML）的最新发展已经看到ML模型具有极高的预测精度。然而，为了在复杂环境中支持人机伙伴关系，除了准确性之外，机器学习系统必须具备能力意识和可靠性，同时具有探索性。该项目旨在开发新技术，使ML系统能够识别自己的能力、证明其能力和决策的合理性、探索未知情况并充分利用现有的专业知识来处理未知情况。该项目的预期成果将使机器学习系统在广泛的应用中成为人类决策者真正智能和可靠的机器合作伙伴。