Developing a Framework for Trustworthy AI-Supported Knowledge Management in the Governance of Risk and Change

This paper proposes a framework for developing trustworthy artificial intelligence (AI) supported knowledge management system (KMS) by integrating existing approaches to AI, trust in data, and organisations. We argue that improvement three core dimensions (data governance, validation of evidence, reciprocal obligation act) will lead the development domains AI technology, organisation. The was informed case study implementing Access-Risk-Knowledge (ARK) platform mindful risk governance across collaborating healthcare Subsequently, applied within each organisation with aim measuring this point generating objectives future ARK development. resulting discussion has implications KMSs, change complex socio-technical systems.