Building Trust in AI deployments in Healthcare

Abstract

Artificial Intelligence (AI) has seamlessly integrated into the fabric of modern organizations, revolutionizing business processes, decision-making, and interactions with society. However, instilling trust in AI systems remains a formidable challenge, particularly in vital sectors such as healthcare. We introduce the "Trust Octagon" - a framework comprising eight key dimensions categorized into three critical domains. This framework serves as a guide, tailored for organizations and policymakers, to fortify trust in AI. We apply the Trust Octagon within the landscape of healthcare. Our approach yields a set of meticulously crafted checklists, strategically designed to nurture trust in AI implementations. To support the practical application of this framework, we unveil a robust toolkit integrated with the Modelio toolset for enterprise architecture and system design. This approach ensures that building trust in AI systems is not only an aspiration but a tangible reality, propelling the responsible and ethical integration of AI into critical industries like healthcare.