Explanation in artificial intelligence: a human-centred approach

人工智能的解释：以人为本的方法

• 批准号: DP190103414
• 负责人: Prof Frank Vetere
• 金额: $ 26.69万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-01-25 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103414
• 关键词: Explanation; artificial; intelligence; human; centred

This project aims to produce validated methods for creating human-centred explanations of decisions made by artificial intelligence (AI). Trial deployment of AI devices has resulted in the requirement for explanations of how AI makes decisions, where developed AI systems gave insufficient consideration of how decision logic would be explained to people. This project positions 'explainable AI' within the intersection of human-computer interaction, computer science and cognitive psychology. The expected outcomes of this project are new methods, models and algorithms for explaining different types of AI models to people. This project should result in improved understanding and trust of decisions made by AI systems, mitigating some societal concerns about AI-based decision making.

该项目旨在产生有效的方法，以创建以人为本的人工智能（AI）决策解释。人工智能设备的试用部署导致了对人工智能如何做出决策的解释的需求，而开发的人工智能系统没有充分考虑如何向人们解释决策逻辑。该项目将“可解释的人工智能”定位于人机交互、计算机科学和认知心理学的交叉点。该项目的预期成果是向人们解释不同类型AI模型的新方法、模型和算法。这个项目应该会提高对人工智能系统决策的理解和信任，减轻社会对人工智能决策的一些担忧。