The graduate school 'TACTIC: Towards Co-Evolution in Human-Technology Interfaces' investigates co-evolution at the human-technology interface, both on the biological side and the technical side of an interface. A key objective of TACTIC is to create digital twins to describe the human and technical system as a coherent process. AI methods for controlling the co-evolution between the human element (e.g., tissue) and the non- human element (e.g., implant) are being designed and validated for this purpose. This sub-project focuses on antagonistic co-evolution, which could result in damage at the interface between the organ and the implant. The aim is, therefore, to recognize incipient antagonistic co-evolution at an early stage and to develop intervention strategies that remedy the antagonistic patterns.