TEAMING AI collaborative paper | Software Quality Days
Teaming. AI project is contributing to the software quality community through groundbreaking research in Human-AI collaboration in industrial manufacturing!
In the collaborative paper titled Towards integrating knowledge graphs into process-oriented human-AI collaboration in industry, the authors delve into the dynamic landscape of Human-AI collaboration, leveraging the synergies between human intelligence and machine processing capabilities.
The paper, which will be presented at the Software Quality Days by SCCH on April 23rd-25th in Vienna, demonstrates the transformative potential of the Teaming.AI software platform, as well as its capability to capture dynamic insights and to ensure synchronization of information flows through real-time executions of process models. Abstracting the essence of effective teamwork, our innovative software-driven coordination mechanism orchestrates seamless interactions between human and AI team members.
By integrating execution traces into a knowledge graph structure, the authors further enhance data quality and semantic integration, addressing one of the biggest challenges in AI-driven software solutions.
With applications spanning across industries, including plastic injection molding production, the Teaming.AI platform offers a robust, flexible, and accountable solution for transparent teamwork between humans and AI.
