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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v10i7.15738</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploring the Optimization of Risk Analysis and Management Teaching in the Context of AI Empowerment</title><url>https://artdesignp.com/journal/JCER/10/7/10.26689/jcer.v10i7.15738</url><author>ShiZhigang</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>7</issue><history><date date-type="pub"><published-time>2026-08-06</published-time></date></history><abstract>Risk Analysis and Management is a core course for majors in management science, featuring strong theoretical, practical, and comprehensive attributes. The traditional classroom teaching model gradually shows deficiencies in adapting to modern risk governance demands and cultivating interdisciplinary talents. The rapid advancement of artificial intelligence technology provides brand-new approaches and technical support for curriculum teaching reform. On this basis, based on the current teaching status of Risk Analysis and Management in universities, this paper elaborates the core value of AI-enabled curriculum teaching reform and puts forward targeted optimization countermeasures. 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