Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing

Smart Manufacturing played a critical role in enhancing the competitiveness of organizations by supporting process optimization, resource efficiency, predictive maintenance, and quality control.

However, AI technologies rapidly entering these sectors remained primarily narrow AI systems. They lacked the ability for self-adaptation, which meant they could not easily assimilate and interpret new information beyond their predefined parameters. This required AI systems to be specifically tailored for particular tasks and settings, with any changes necessitating adaptations or even full redesigns.

The TEAMING_AI project aimed to create a human-AI teaming framework, integrating the flexibility of human intelligence with the scalability of machine intelligence. The goal was to meet the increased need for flexibility and handle the personalization of products and services, while addressing user acceptance and ethical challenges. This approach encouraged viewing AI as a "teammate" rather than a threat.

The project spanned three years and was organized into nine work packages:

- Work Packages one to five focused on developing new technology to enhance human-machine interactions.

- Work Packages six and seven involved developing three use case scenarios.

- The final two packages focused on disseminating and exploiting results, as well as project coordination.