Machine education for trusted multi-skilled evolutionary learners

将数据资产转化为组织知识资产的工作掌握在少数高度专业化的数据科学家手中。本研究的目的是设计教育工具，以类似于教育人类教师教人类学习者的方式来支持非专家教授人工智能（AI）系统。该项目的意义在于让更广泛的智能社区，但不一定是人工智能专家，能够以安全、透明和值得信赖的方式为我们的知识型社会做出贡献。成果将包括用于教学机器的创新工具、新的知识创造、可信和透明的人工智能系统，以及专门教授人工智能系统的新一代人类教师。

Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, community the ability to contribute to growing our knowledge-based society in a safe, transparent and trustworthy manner. Outcomes will include innovative instruments to teach machines, novel knowledge creation, trusted and transparent AI systems, and a new generation of human teachers specialised in educating AI systems.