نوع مقاله : مقاله پژوهشی
نویسنده
دکتری آیندهپژوهی، دانشکده علوم اجتماعی، دانشگاه بینالمللی امام خمینی(رحمتالله علیه)، قزوین، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
Artificial Intelligence (AI), like any human-made artefact, comes with both challenges and benefits that must be considered together to enable optimal utilization. This study examines the challenges and best practices associated with managing AI risks in critical infrastructure. By analyzing significant incidents, case studies, and emerging trends, it provides insights into effective risk management strategies for AI deployment. Moreover, the research highlights the crucial role of robust cybersecurity measures, system constraints, and secure mechanisms for AI-based critical infrastructure. It also explores emerging trends in AI for critical infrastructure, such as edge computing, explainable AI, and federated learning. These trends offer opportunities to enhance performance, transparency, and privacy in AI systems operating within critical environment. By combining these multidimensional components, this study contributes to understanding AI risk management in critical infrastructure, offering valuable insights into challenges, best practices, and future directions for effective risk governance. Data collection is based on a document review, and future-oriented recommendations are validated by expert opinions. Policymakers, researchers, and industry professionals can leverage these findings to strengthen the safe and sustainable deployment of AI in critical infrastructure.
کلیدواژهها [English]
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