Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence

可解释性和透明度是澳大利亚行业和政府人工智能道德框架中开发和部署人工智能(AI)的关键价值观。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。它的预期输出是新颖的理论驱动的算法和非传统的深度学习基础块，将允许人类清楚地解释这项技术的推理过程，而这目前是不可能的。它有望极大地提高我们在机器智能和感知方面的知识。由于它们的根本性质，项目成果可能会同时惠及工业和科学前沿。

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.