aceCorporate ethical and responsible AI (CERAi) and AI trustworthiness: a lifecycle perspective and empirical insights
Purpose This study develops and empirically validates a Corporate Ethical and Responsible AI (CERAi) lifecycle framework. The framework comprises three interdependent stages: design and development, testing and training, and deployment and usage. The study aims to move the research beyond abstract principles and policy analyses toward empirically grounded, lifecycle-integrated artificial intelligence AI governance theory. It positions ethical AI and responsible AI governance as the two constitutive components of…
In a survey of AI professionals, corporate ethical AI governance at the design and development stage and at the deployment and usage stage was associated with higher perceived AI trustworthiness.
The findings reflect perceived trustworthiness among a limited sample of conference-attending AI professionals, and the authors caution that they do not definitively validate uniform accumulation of governance effects across stages.
Evidence
- Peer-reviewedJournal of Enterprise Information Management2026-10-16
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Truvace Impact Record TRV-2026-1592, v1: “Corporate ethical and responsible AI (CERAi) and AI trustworthiness: a lifecycle perspective and empirical insights.” Truvace, 2026-10-16. /record/TRV-2026-1592 (accessed at citation time). sha256 a94545a68965d0f8…
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