{"id":19814,"date":"2025-04-28T17:36:01","date_gmt":"2025-04-28T15:36:01","guid":{"rendered":"https:\/\/pmdoc.ua\/?page_id=19814"},"modified":"2025-10-01T08:09:28","modified_gmt":"2025-10-01T06:09:28","slug":"ai-managementsystem","status":"publish","type":"page","link":"https:\/\/pmdoc.ua\/en\/training\/ai\/ai-managementsystem\/","title":{"rendered":"ai.ManagementSystem"},"content":{"rendered":"<h1>Understanding and Implementing the Artificial Intelligence Management System<\/h1>\n<p><em>The benefits of implementing AIMS based on <a href=\"https:\/\/www.iso.org\/standard\/81230.html\">ISO\/IEC 42001:2023 &#8220;Artificial Intelligence &#8211; Management System&#8221;<\/a> standard.<\/em><\/p>\n<p class=\"\" data-start=\"257\" data-end=\"585\">Artificial Intelligence (AI) is transforming industries at a rapid pace, yet few established frameworks exist to guide responsible AI development, deployment, and governance. To address this critical gap, the ISO\/IEC 42001:2023 standard introduces the world\u2019s first comprehensive management system framework specifically for AI.<img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-19815 size-medium\" src=\"https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-211x300.png\" alt=\"Artificial Intelligence Management System ISO 42001\" width=\"211\" height=\"300\" srcset=\"https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-211x300.png 211w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-56x80.png 56w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-600x853.png 600w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-496x705.png 496w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-450x640.png 450w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover-407x579.png 407w, https:\/\/pmdoc.ua\/wp-content\/uploads\/ISO42001-Cover.png 621w\" sizes=\"auto, (max-width: 211px) 100vw, 211px\" \/><\/p>\n<p class=\"\" data-start=\"587\" data-end=\"1005\">This training program equips you with the knowledge and practical tools to understand, implement, and maintain an Artificial Intelligence Management System (AIMS) aligned with ISO\/IEC 42001:2023. You will learn how to systematically manage risks and opportunities associated with AI technologies, ensure transparency, traceability, and reliability, and demonstrate your organization\u2019s commitment to responsible AI use.<\/p>\n<p class=\"\" data-start=\"1007\" data-end=\"1227\">Through structured learning, real-world examples, and actionable guidance, you will be prepared to embed AIMS into your daily operations\u2014enhancing trust, competitiveness, and sustainable innovation in an AI-driven world.<\/p>\n<p data-start=\"1007\" data-end=\"1227\">Instructor:\u00a0<strong><a href=\"https:\/\/pmdoc.ua\/en\/anatolii_savin\/\">Anatolii Savin, PMP, PfMP, M.S.P.M<\/a><\/strong><br \/>\nTraining Duration:\u00a0<strong>1 day<\/strong>.<br \/>\nNumber of Participants:\u00a0<strong>9-15 people<\/strong>\u00a0(for classroom training) or\u00a0<strong>unlimited\u00a0<\/strong>(for online training).<br \/>\nLanguage:\u00a0<strong><a href=\"https:\/\/pmdoc.ua\/trainings\/ai\/ai-managementsystem\/\">Ukrainian<\/a>\u00a0<\/strong>or\u00a0<strong>English<\/strong>.<\/p>\n<h2 data-start=\"1007\" data-end=\"1227\">Target Audience<\/h2>\n<p class=\"\" data-start=\"93\" data-end=\"378\">The <em data-start=\"97\" data-end=\"118\">ai.ManagementSystem<\/em> training is designed for organizations and professionals who develop, use, monitor, or provide products and services involving Artificial Intelligence (AI) systems, and who seek to implement responsible, structured, and risk-based approaches to AI management.<\/p>\n<p class=\"\" data-start=\"380\" data-end=\"405\">This course is ideal for:<\/p>\n<ul>\n<li data-start=\"409\" data-end=\"594\"><strong data-start=\"409\" data-end=\"444\">Business Leaders and Executives<\/strong> responsible for adopting AI technologies while ensuring alignment with organizational objectives, compliance requirements, and societal expectations.<\/li>\n<li data-start=\"597\" data-end=\"778\"><strong data-start=\"597\" data-end=\"646\">AI Developers, Engineers, and Data Scientists<\/strong> who build AI models and solutions and need to integrate responsible development, transparency, and continuous monitoring practices.<\/li>\n<li data-start=\"781\" data-end=\"990\"><strong data-start=\"781\" data-end=\"818\">IT Managers and System Architects<\/strong> tasked with embedding AI systems into organizational infrastructure and ensuring that AI-specific considerations (e.g., continuous learning, explainability) are addressed.<\/li>\n<li data-start=\"993\" data-end=\"1180\"><strong data-start=\"993\" data-end=\"1061\">Risk Managers, Compliance Officers, and Governance Professionals<\/strong> involved in identifying, assessing, and mitigating AI-related risks while maintaining auditability and accountability.<\/li>\n<li data-start=\"1183\" data-end=\"1362\"><strong data-start=\"1183\" data-end=\"1228\">Quality, Safety, and Security Specialists<\/strong> aiming to align AI implementations with broader organizational management systems and ensure trustworthiness across the AI lifecycle.<\/li>\n<li data-start=\"1365\" data-end=\"1554\"><strong data-start=\"1365\" data-end=\"1403\">Legal, Ethics, and Policy Advisors<\/strong> concerned with the responsible deployment of AI, adherence to regulatory requirements, and addressing ethical challenges linked to AI decision-making.<\/li>\n<li data-start=\"1557\" data-end=\"1731\"><strong data-start=\"1557\" data-end=\"1589\">Project and Program Managers<\/strong> overseeing AI initiatives who must ensure that risk-based controls and performance evaluations are embedded throughout the project lifecycle.<\/li>\n<li data-start=\"1734\" data-end=\"1901\"><strong data-start=\"1734\" data-end=\"1784\">Suppliers, Partners, and Third-party Providers<\/strong> who contribute AI components, systems, or services and need to demonstrate compliance with responsible AI practices.<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1903\" data-end=\"2159\">Whether you are introducing AI for the first time or scaling its usage across your organization, this training empowers you to understand and apply ISO\/IEC 42001:2023 standards to build a resilient, transparent, and trustworthy AI Management System (AIMS).<\/p>\n<h2 data-start=\"74\" data-end=\"107\">Knowledge and Skills Acquired<\/h2>\n<p class=\"\" data-start=\"109\" data-end=\"222\">Upon completing the <em data-start=\"129\" data-end=\"150\">ai.ManagementSystem<\/em> training, participants will acquire the following knowledge and skills:<\/p>\n<ul>\n<li data-start=\"226\" data-end=\"420\">Gain a clear and structured understanding of the principles, clauses, and controls outlined in the AI Management System (AIMS) standard.<\/li>\n<li data-start=\"424\" data-end=\"617\">Learn how to identify, assess, and treat AI-specific risks, including risks related to transparency, bias, explainability, continuous learning, and societal impacts.<\/li>\n<li data-start=\"621\" data-end=\"871\">Acquire the ability to establish, document, implement, maintain, and continually improve an AI management system tailored to your organization&#8217;s context, size, objectives, and regulatory obligations.<\/li>\n<li data-start=\"875\" data-end=\"1133\">Understand how to align AIMS with existing management systems (e.g., quality, information security, data governance) and embed AI considerations into organizational decision-making and operational workflows.<\/li>\n<li data-start=\"1137\" data-end=\"1335\">Learn to define leadership roles, responsibilities, policies, and oversight mechanisms necessary for responsible AI use, development, and deployment.<\/li>\n<li data-start=\"1339\" data-end=\"1565\">Gain the skills to plan, control, and monitor AI operations effectively across the entire AI system lifecycle, ensuring continuous compliance, quality, and improvement.<\/li>\n<li data-start=\"1569\" data-end=\"1785\">Learn how to identify interested parties, assess their needs and expectations regarding AI use, and communicate organizational policies and performance transparently.<\/li>\n<li data-start=\"1789\" data-end=\"1996\">Develop the ability to conduct and document formal assessments of the potential societal, individual, and organizational impacts of AI systems throughout their lifecycle.<\/li>\n<li data-start=\"2000\" data-end=\"2205\">Understand how to design internal audit programs for AIMS, monitor performance metrics, and conduct management reviews to ensure system adequacy and effectiveness.<\/li>\n<li data-start=\"2209\" data-end=\"2404\">Master techniques to identify nonconformities, implement corrective actions, and drive continual improvement of the AI management framework.<\/li>\n<\/ul>\n<p class=\"\" data-start=\"2406\" data-end=\"2620\">By the end of the training, participants will be equipped to responsibly manage AI within their organizations and demonstrate commitment to transparency, accountability, and sustainable innovation in AI deployment.<\/p>\n<h2>Main Topics to be Covered<\/h2>\n<ol>\n<li><strong>Introduction<\/strong>\n<ul>\n<li>The benefits of implementing an Artificial Intelligence Management System (AIMS)<\/li>\n<\/ul>\n<\/li>\n<li><strong>The Need and Overview of an AI Management System (AIMS)<\/strong>\n<ul>\n<li>Understanding categories of AI uses<\/li>\n<li>How AI merits and challenges affect AI application<\/li>\n<li>Impact of laws and regulations on AI deployment<\/li>\n<li>Promoting trust, transparency, and reliability in AI systems<\/li>\n<li>The role and advantages of expert standardization<\/li>\n<li>Benefits of adopting a management system approach<\/li>\n<li>Overview and structure of ISO\/IEC 42001:2023 AIMS<\/li>\n<\/ul>\n<\/li>\n<li><strong>Defining Organizational Context<\/strong>\n<ul>\n<li>Understanding the organization&#8217;s internal and external context (Clause 4.1)<\/li>\n<li>Identifying the needs and expectations of interested parties (Clause 4.2)<\/li>\n<li>Defining the AI management system\u2019s scope (Clause 4.3)<\/li>\n<li>Establishing the AI management system (Clause 4.4)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Identifying Leadership and Creating AI Policy<\/strong>\n<ul>\n<li>Leadership and commitment to AIMS (Clause 5.1)<\/li>\n<li>Developing and implementing an AI policy (Clause 5.2)<\/li>\n<li>Assigning roles, responsibilities, and authorities for AI (Clause 5.3)<\/li>\n<\/ul>\n<\/li>\n<li><strong>AI Planning<\/strong>\n<ul>\n<li>General requirements for planning (Clause 6.1.1)<\/li>\n<li>Conducting AI risk assessments (Clause 6.1.2)<\/li>\n<li>Managing AI risk treatment (Clause 6.1.3)<\/li>\n<li>Performing AI system impact assessments (Clause 6.1.4)<\/li>\n<li>Setting AI objectives and planning changes (Clauses 6.2\u20136.3)<\/li>\n<\/ul>\n<\/li>\n<li><strong>AI Support and Operations<\/strong>\n<ul>\n<li>Managing AI resources, competence, and awareness (Clauses 7.1\u20137.3)<\/li>\n<li>Effective internal and external communication (Clause 7.4)<\/li>\n<li>Documented information management: creation, update, control (Clauses 7.5\u20137.5.3)<\/li>\n<li>Operational planning and control of AI activities (Clause 8.1)<\/li>\n<li>Executing AI risk assessments and treatments during operation (Clauses 8.2\u20138.3)<\/li>\n<li>Conducting AI system impact assessments in operations (Clause 8.4)<\/li>\n<\/ul>\n<\/li>\n<li><strong>AI Performance Evaluation and Improvement<\/strong>\n<ul>\n<li>Monitoring, measurement, analysis, and evaluation of AI performance (Clause 9.1)<\/li>\n<li>Conducting internal audits for the AI management system (Clause 9.2)<\/li>\n<li>Performing management reviews to drive system adequacy and effectiveness (Clause 9.3)<\/li>\n<li>Managing continual improvement, handling nonconformities, and taking corrective actions (Clauses 10.1\u201310.2)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Conclusion<\/strong>\n<ul>\n<li>Reflecting on your role in implementing, managing, and sustaining AIMS within your organization<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2 class=\"wp-block-heading\"><strong>Training Technical Setup<\/strong><\/h2>\n<p><strong>For In-Class Training:<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li>A classroom equipped with:\n<ul class=\"wp-block-list\">\n<li>Projector and screen;<\/li>\n<li>Whiteboard or flip chart;<\/li>\n<li>WiFi for participants.<\/li>\n<\/ul>\n<\/li>\n<li>Training materials and workbooks.<\/li>\n<li>Supplies for exercises.<\/li>\n<\/ul>\n<p><strong>For Online Training:<\/strong><br \/>\nFor required software, equipment, and settings, please visit\u00a0<a href=\"https:\/\/pmdoc.ua\/en\/trainings\/on-line\">PMDoc.ua\/en\/trainings\/on-line<\/a>.<\/p>\n<h2 class=\"wp-block-heading\">Booking the Training<\/h2>\n<p>To book the training and for additional consultation, visit\u00a0<a href=\"https:\/\/pmdoc.ua\/en\/Contacts\">PMDoc.ua\/en\/Contacts<\/a>. For training customization and detailed information about the content,\u00a0don\u2019t hesitate to get in touch with instructor\u00a0<strong>Anatolii Savin<\/strong>:<\/p>\n<ul class=\"wp-block-list\">\n<li>Phone\/Messengers:\u00a0<strong>+380 (67) 744-4615<\/strong><\/li>\n<li>Email:\u00a0<a href=\"mailto:anatolii@savin.pm\"><strong>anatolii@savin.pm<\/strong><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence (AI) is transforming industries at a rapid pace, yet few established frameworks exist to guide responsible AI development, deployment, and governance. To address this critical gap, the ISO\/IEC 42001:2023 standard introduces the world\u2019s first comprehensive management system framework specifically for AI.<br \/>\nThis training program equips you with the knowledge and practical tools to understand, implement, and maintain an Artificial Intelligence Management System (AIMS) aligned with ISO\/IEC 42001:2023. You will learn how to systematically manage risks and opportunities associated with AI technologies, ensure transparency, traceability, and reliability, and demonstrate your organization\u2019s commitment to responsible AI use.<br \/>\nThrough structured learning, real-world examples, and actionable guidance, you will be prepared to embed AIMS into your daily operations\u2014enhancing trust, competitiveness, and sustainable innovation in an AI-driven world.<\/p>\n","protected":false},"author":1,"featured_media":20228,"parent":19497,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-19814","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/19814","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/comments?post=19814"}],"version-history":[{"count":2,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/19814\/revisions"}],"predecessor-version":[{"id":19826,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/19814\/revisions\/19826"}],"up":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/pages\/19497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/media\/20228"}],"wp:attachment":[{"href":"https:\/\/pmdoc.ua\/en\/wp-json\/wp\/v2\/media?parent=19814"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}