Trustworthy Machine Learning by Demonstration

Betting Our Worlds(BOW)Ltd.致力于开发软件，为机器人技术的商业和家庭应用提供可解释、值得信赖和易于使用的人工智能。这项可行性研究的目标是在三个不同的领域为这项新技术建立试验台：家庭医疗保健、动态制造和危险环境操作。在这个项目中，我们将开发一种混合机器学习方法，能够直接从熟练工人那里学习，并提供决策和行动的可解释性。该系统不仅将由熟练的人类操作员进行培训，还将整合人工操作的远程操作，作为人工智能太难或不可预测的任务的故障保险。BOW相信，这种方法将增加对自动化的信任，并克服进入市场的障碍，如成本和部署时间。该项目及其以信任为中心的方法与BOW有限公司的长期愿景和技术路线图保持一致，到目前为止，BOW有限公司已经交付了一个软件开发工具包，使任何人都可以编写一次代码并部署到任何机器人上。在IuK的帮助下，我们正在带来我们在将复杂技术民主化方面的专业知识，并将其应用于人工智能和ML，以使任何人都能够使用这些强大的技术。

Bettering Our Worlds (BOW) Ltd. is working on developing software that will provide explainable, trustworthy and easy to use AI for commercial and domestic applications of robotic technologies. The goal of this feasibility study is to establish test-beds for this new technology in three different domains: domiciliary healthcare, dynamic manufacturing and hazardous environment operations.Within this project we will develop a hybrid machine learning approach that is capable of learning directly from skilled workers and provide explainability of decisions and actions. The system will not only feature training by skilled human operators but also integrates human-operated teleoperation as a failsafe for tasks that are too difficult or unpredictable for the AI.BOW believes that this approach will increase trust in automation, and overcome barriers to entry such as cost and deployment time. This project and its trust-centric approach is aligned with the long term vision and technological roadmap for BOW Ltd that has so far delivered a software development kit that enables anyone to code once and deploy to any robot. With the help of iUK we are bringing our expertise in democratising complex technologies and applying it to AI and ML to empower anyone to use these powerful technologies.