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Year 2025
Title Navigating AI risks for sustainable productivity and resilience
Author(s) Dr. Dian Wirawan Tjondronegoro
Description In Navigating AI Risks for Sustainable Productivity and Resilience, Dr. Dian Wirawan Tjondronegoro presents a structured framework for integrating artificial intelligence (AI) into organizations while mitigating associated risks. The report outlines three interdependent frameworks—EPIC (Education, Partnership, Infrastructure, Community), TOAST (Trustworthy, Optimised, Adaptable, Socio-Technological), and RAIIF (Responsible AI Implementation Framework)—which collectively support AI readiness, responsible governance, and continuous adaptation. Emphasizing the socio-technical nature of AI, the publication aligns with global standards including the OECD AI Principles, NIST AI Risk Management Framework, and ISO/IEC 42001. Through practical guidance and case studies across healthcare, education, and public administration, the report illustrates how organizations can transition from experimental AI deployments to robust, scalable systems. By embedding ethical oversight, transparent accountability, and iterative improvement cycles, institutions can foster both innovation and public trust. This approach ensures not only compliance with evolving regulatory landscapes but also cultivates enduring productivity and operational resilience.
Citable URL https://doi.org/10.61145/OCCA6400
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