Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

HumAIne将研究、开发、验证和推广一种用于人类与人工智能协作的新型操作系统，这将使在不同工业部门的动态、非结构化环境中开发先进的决策应用成为可能。HumAIne OS将使人工智能解决方案集成商能够实现人机协作系统，在孤立工作时优于人工智能系统和人类。HumAIne的开发将集成到一个操作系统平台中，该平台将协调四个相互作用的组件，提供主动学习（AL）、神经符号学习、群学习（SL）以及可解释人工智能（XAI）功能。这些先进的人工智能范例是开发真正的人类-人工智能协作的理想选择，因为在每个范例中，工作人员都是完全控制和理解所执行操作的关键角色。当人工智能面临越来越多的不确定性时，人工智能能够开发有效的人在环系统，让人类参与其中。神经符号学习将深度学习与语义和规则相结合，以高精度完成高度复杂的任务，同时需要比当前人工智能模型少得多的训练数据。将提供先进的XAI模型，在考虑全球背景的同时提供模型预测的解释，而不仅仅是分析单个AI模型的特征重要性。humanine的XAI将为人类提供指导，使ai和SL模型能够及时优化，其中人类参与者提供动态反馈以及神经符号模型的微调。该平台将处理各种类型的结构化和非结构化数据，包括来自人类的输入，这些输入将通过本体、知识图和语义互操作性进行语义关联。HumAIne将通过补充资源（例如培训）来补充其平台，并将围绕它建立一个充满活力的社区，以推动项目成果的开发和更广泛的使用。

HumAIne will research, develop, validate and promote a novel operating system for Human-AI collaboration, which will enable the development of advanced decision making applications in dynamic, unstructured environments in different industrial sectors. The HumAIne OS will empower AI solution integrators to implement Human-AI collaboration systems that outperform AI systems and humans when working in isolation. HumAIne’s developments will be integrated into a single OS platform, which will coordinate four interwind components offering Active Learning (AL), Neuro-Symbolic Learning, Swarm Learning (SL) as well eXplainable AI (XAI) capabilities. These advanced AI paradigms are ideal for exploiting true Human-AI collaboration since, in each of them, the worker is the key actor with complete control and understanding of the performed operations. AL enables the development of effective Human in-the-Loop systems that involve humans when AI faces increased uncertainty. Neuro-Symbolic Learning combines DL with semantics and rules to complete highly complex tasks with high accuracy while requiring considerably less training data than current AI models. Advanced XAI models will be made available, providing explanations of models’ predictions while considering the global context instead of just analysing the feature importance of a single AI model. HumAIne’s XAI will provide guidance to humans to enable the timely optimisation of AL and SL models where human participants provide feedback dynamically as well as fine-tuning of Neuro Symbolic models. The platform will handle various types of structured and unstructured data, including inputs from humans that will be semantically correlated through ontologies, knowledge graphs, and semantic interoperability. HumAIne will complement its platform with complementary resources (e.g., training) and will be build a vibrant community of interested parties around it, to drive exploitation and wider use of the project's results.