Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence

玻璃盒深度机器感知，实现值得信赖的人工智能

• 批准号: DE230101058
• 负责人: Dr Naveed Akhtar
• 金额: $ 30.8万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-10-09 至 2026-10-08
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE230101058
• 关键词: Glass; box; Deep; Machine; Perception

Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will allow humans to clearly interpret the reasoning process of this technology, which is currently not possible. It is expected to significantly advance our knowledge in machine intelligence and perception. Due to their fundamental nature, the project outcomes are likely to benefit industry and scientific frontiers alike.

可解释性和透明度是澳大利亚工业和政府人工智能道德框架中人工智能（AI）开发和部署的关键价值。该项目旨在构建新的工具，使人工智能的核心技术-深度学习-透明和可解释。它的预期产出是新颖的理论驱动算法和非传统的深度学习基础模块，这将使人类能够清楚地解释这项技术的推理过程，而这在目前是不可能的。预计它将大大提高我们在机器智能和感知方面的知识。由于其基本性质，项目成果可能会使工业和科学前沿受益。