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              <p>The integration of Artificial Intelligence (AI) intoindustrial systems with high levels of automation has introducedsignificant uncertainty and complexity. In particular, work bythe automotive industry, on autonomous vehicles has led to theemergence of the Operational Design Domain (ODD) concept,which delineates the expected operating domain of such vehicles,departing from conventional automotive Use Case-basedapproaches. However, this ODD’s automotive-centric approachhas hindered its broader application, lacking the comprehensiveguidance on the system engineering methodologies requiredfor its definition. This paper presents a domain-agnostic definitionof ODD, grounded in established system frameworksand emphasizing a systemic risk-based engineering to make itapplicable to multiple domains. A case study from the maritimedomain illustrates the benefits and applicability of the proposedmethodology. By providing a systematic framework, this researchfacilitates the adoption of ODD principles beyond the automotivesector, fostering the development of AI-based products andservices across diverse industrial domains. The ODD representsa key aspect of systems engineering for autonomous systems,integrating considerations of technology, environment, regulation,and user expectations.</p>
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