Rostock relies on AI: 11 million euros for groundbreaking project!

Rostock relies on AI: 11 million euros for groundbreaking project!

Rostock, Deutschland - Mecklenburg-Western Pomerania plays a pioneering role in the development of innovative artificial intelligence (AI). The University of Rostock participates in an important joint project that aims to further improve the AI ​​technology through the development of the "Spoc-Ai" system (Single Point of Contact). This new system is intended to act as a central point of contact for document -based processes. With a total volume of over 11 million euros, the project will be funded by the state of Mecklenburg-Western Pomerania for the next three years as part of its regional innovation strategy. that the main objectives are to efficiently manage extensive databases and to deal with complex tasks autonomously by AI applications.

Cooperation includes partners such as Planet AI, the consortium leader, and Altow Digital Innovation. Planet AI brings extensive expertise in the field of cognitive artificial intelligence with a focus on writing and visual object recognition. Altow Digital Innovation in turn complements the project with its experience in the user experience design and in the provision of digital solutions. These partnerships are intended to ensure that Rostock is sustainably strengthened as a technology location in Mecklenburg-Western Pomerania and Germany.

implementation of human in the loop

A central element of the project is the concept "Human in the Loop" (Hitl), which actively integrates people into the decision -making processes of AI. This concept is crucial to increase the effectiveness of the AI ​​and compensate for their weaknesses through human intervention. Hitl systems combine AI with human expertise and enable transparent decision-making, especially in critical processes. describes another analysis that Hitl is essential for applications in sensitive areas such as medicine or autonomous driving, since here people have to monitor and intervene if the AI ​​does not have the desired accuracy reached.

In addition to Hitl, there are other models such as "Human-on-Loop" (Hotl) and "Human-Above-the-Loop" (HATL), which define different levels of human participation in AI systems. The HITL model is particularly important in situations in which AI systems reach their limits, for example in complex decision-making processes. An example of this is the use of AI in radiology, where human radiologists use AI-based analyzes to improve diagnostic accuracy. According to this source, the balance between AI use and ethical standards is crucial for the responsible integration of AI into daily life.