{"title":"AI Risk Management","description":"","products":[{"product_id":"nist-ai-risk-management-framework-training","title":"NIST AI Risk Management Framework In Practice","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eArtificial intelligence is no longer a peripheral technology — it now operates at the core of institutional decision-making, customer interaction, and operational infrastructure. As AI systems grow in scale and consequence, so does the complexity of managing the risks they introduce. The NIST AI Risk Management Framework In Practice course equips professionals with the knowledge and tools to implement the NIST AI RMF as a functioning governance system, not merely a compliance checklist.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis course addresses the full spectrum of AI risk governance: from executive oversight design and policy architecture to technical assurance, lifecycle monitoring, and cross-framework alignment. Participants will examine how AI systems create legal exposure, reputational risk, and disparate societal impacts and how organisations can build the structures needed to address these challenges systematically. Drawing on the curriculum's six modules, the course moves from strategic governance logic through to enterprise-wide implementation, culminating in the design of an end-to-end AI risk program. It is relevant to compliance professionals, risk managers, AI governance leads, and senior decision-makers operating in regulated or high-stakes environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants will receive structured learning resources and practical knowledge aligned with the NIST AI Risk Management Framework curriculum, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eSix comprehensive modules covering AI governance strategy, risk mapping, technical assurance, lifecycle management, and enterprise transformation\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eCoverage of key NIST AI RMF concepts including the Govern, Map, Measure, and Manage functions\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eIndustry-relevant knowledge applicable to regulated sectors, high-stakes environments, and enterprise AI deployments\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eCapstone module focused on designing an end-to-end AI risk program\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eProfessional certificate awarded upon successful course completion\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eKnowledge directly applicable to AI governance, compliance, and risk management roles\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53210076840272,"sku":null,"price":54.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/NISTAIRiskManagementFrameworkInPractice.webp?v=1787112081"},{"product_id":"bias-fairness-testing-data-science-training","title":"Bias And Fairness Testing For Data Science Teams","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAs artificial intelligence systems take on consequential roles in hiring, credit, housing, healthcare, and public services, the ability to identify and address bias in machine learning models has become a critical professional competency. This course on bias and fairness testing for data science teams provides a structured, technically grounded approach to understanding how bias enters model pipelines, how disparity is measured, and how fairness can be evaluated systematically across the full development lifecycle.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe course moves from foundational theory to applied governance, covering competing definitions of fairness, group and intersectional disparity metrics, bias sources across data and labels, and mitigation strategies at each stage of the pipeline. Participants will also explore audit design, model documentation standards such as model cards and datasheets, and the compliance landscape governing automated decisions in high-stakes sectors.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eDesigned for data scientists, machine learning engineers, AI product managers, and compliance professionals, this training equips teams with the knowledge to conduct structured fairness audits, communicate findings to decision-makers, and implement responsible AI governance practices aligned with emerging regulatory expectations.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants will receive structured learning resources and practical knowledge aligned with the course curriculum, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eSeven curriculum modules covering foundational, technical, governance, and frontier topics in fairness testing\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCurriculum-based instruction on disparity measurement, audit design, and mitigation strategies\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCoverage of compliance requirements and governance roles in high-stakes AI deployment\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eKnowledge of model documentation standards including model cards and datasheets\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eInsight into frontier challenges such as generative model bias and production monitoring\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eProfessional certificate of completion issued upon successful course completion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53222732005712,"sku":null,"price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/BiasAndFairnessTestingForDataScienceTeams_157dd02a-47fe-4ac2-bbc4-60e145ddb06a.webp?v=1787112903"},{"product_id":"explainable-ai-xai-training","title":"Explainable AI XAI For Product And Risk Teams","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eArtificial intelligence is reshaping how organizations make decisions, assess risk, and engage with regulators. Yet one persistent challenge remains: when AI systems produce outputs that cannot be explained, they create compliance exposure, erode stakeholder trust, and undermine operational accountability. Explainable AI (XAI) addresses this directly by making AI behavior transparent, interpretable, and auditable.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis course provides a structured, practitioner-focused grounding in explainable AI for professionals working across product development, risk management, compliance, and enterprise governance. Participants will explore the foundational principles of XAI, the regulatory and governance frameworks shaping responsible AI adoption, and the technical methods used to interpret and validate AI models. The curriculum spans the full product lifecycle, from embedding explainability at the design stage through to continuous monitoring and incident response.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eWith coverage of real-world applications in financial services, healthcare, and the public sector, this course equips participants to navigate the practical and regulatory dimensions of XAI. Whether you are building AI products, managing model risk, or advising on governance strategy, this course provides the knowledge needed to advance responsible AI practices within your organization.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants will receive structured learning resources and practical knowledge aligned with the course curriculum, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eSix curriculum-based modules covering XAI foundations, governance, and enterprise applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eCoverage of U.S. and global regulatory frameworks relevant to AI transparency and model risk\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eIndustry-relevant knowledge applicable to financial services, healthcare, and public sector environments\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003ePractical subject understanding across bias detection, fairness metrics, and XAI platform tooling\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eGovernance and documentation guidance aligned with current enterprise AI compliance standards\u003c\/span\u003e\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\u003cspan\u003eProfessional certificate issued upon successful completion of the course\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53222758023504,"sku":null,"price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/ExplainableAIXAIForProductAndRiskTeams_8e5b09e8-8282-4fbd-a29c-540ace517749.webp?v=1787113090"},{"product_id":"iso-42001-ai-management-system-course","title":"ISO 42001:2023 Fundamentals: AI Management System","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan\u003eISO 42001:2023 Fundamentals: AI Management System\u003c\/span\u003e\u003cspan\u003e course provides a structured introduction to AI governance, risk management, operational controls, and compliance alignment based on the ISO 42001 framework. As organizations adopt artificial intelligence across business processes, decision systems, products, and services, they need clear governance structures to manage risks related to bias, model drift, data quality, accountability, transparency, and regulatory expectations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis ISO 42001 AI Management System course covers the foundations of AI governance, the scope of ISO 42001, the AI lifecycle, and risk-driven AI management. Participants explore the structure of ISO 42001, including clauses 4 to 10, organizational context, leadership responsibilities, and policy frameworks.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe course also addresses AI risk and impact management, lifecycle controls, data governance, deployment control, system monitoring, Annex A controls, audit evidence, internal audit, certification process awareness, and alignment with the EU AI Act and NIST AI Risk Management Framework. It is relevant for professionals and organizations seeking a clearer understanding of AI management system fundamentals and responsible AI governance.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants receive structured learning aligned with the ISO 42001 AI Management System curriculum, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eFoundations of AI governance and risk-driven AI\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eISO 42001 scope, structure, and leadership concepts\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAI risk identification, bias control, and model drift awareness\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAI lifecycle and operational control knowledge\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eData governance, deployment control, and system monitoring concepts\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAnnex A controls and audit evidence understanding\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCertificate upon successful course completion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53228745097552,"sku":null,"price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/ISO420012023FundamentalsAIManagementSystem_d8c80daa-dcc0-424d-8697-53e9ab3b4382.webp?v=1787115420"},{"product_id":"ai-safety-enterprises-training","title":"AI Safety for Enterprises: Compliance and Risk Management","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAI Safety for Enterprises: Compliance, Governance \u0026amp; Risk Management is a professional training course designed for organizations and individuals responsible for managing the risks, controls, and governance expectations associated with enterprise AI adoption. As artificial intelligence becomes more integrated into automated decision-making, operational workflows, customer interactions, compliance processes, and strategic planning, enterprises must understand how to use AI safely, responsibly, and in alignment with business risk expectations.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis course covers the enterprise AI risk landscape, including model risk, data risk, operational risk, bias, inaccuracies, unintended system behavior, legal exposure, ethical concerns, auditability, accountability, and regulatory readiness. Participants will also examine how AI failures can affect compliance, reputation, business performance, and organizational trust.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe curriculum is especially relevant for professionals working in compliance, governance, risk management, legal, internal control, privacy, vendor management, information security, digital transformation, and executive oversight. It provides structured knowledge for building safer, more trustworthy, and better-governed AI programs across the enterprise.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants will receive structured learning aligned with the course curriculum and focused on enterprise AI safety, compliance, governance, and risk management, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCurriculum-based professional training\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eEnterprise AI risk landscape knowledge\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAI governance and compliance concepts\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eModel, data, and operational risk coverage\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003ePrivacy, fairness, and accountability principles\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eThird-party AI and vendor risk understanding\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCertificate upon successful completion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53228800606544,"sku":null,"price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/AISafetyforEnterprisesComplianceandRiskManagement_67818fe4-f8ad-445b-a002-1aa5ff470949.webp?v=1787118657"},{"product_id":"shadow-ai-risk-management-governance-course","title":"Shadow AI: AI Risk Management and Governance","description":"\u003cp dir=\"ltr\"\u003e\u003cspan\u003eShadow AI: AI Risk Management and Governance is a professional training course designed for organizations and individuals that need to identify, assess, control, and monitor the use of unauthorized AI tools in the workplace. As employees increasingly use generative AI platforms, browser extensions, APIs, AI agents, and other AI-enabled tools without formal approval, organizations face new governance, legal, privacy, cybersecurity, and operational risks.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis course explains what Shadow AI means in modern workplaces, how it differs from Shadow IT, why employees rely on unapproved AI tools, and how these practices can create business, legal, and security exposure. Participants will examine the Shadow AI risk landscape, including data leakage, confidential information exposure, hallucinated outputs, bias, discrimination, unfair decision-making, cybersecurity risks, and vendor-related concerns.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe curriculum also covers global AI governance expectations, privacy and data protection duties, workplace decision risks, Shadow AI discovery, risk assessment, acceptable use policies, vendor review, prompt controls, access management, monitoring, incident response, AI literacy, and continuous improvement using NIST AI RMF and ISO\/IEC 42001.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eCourse Includes\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eParticipants will receive structured learning aligned with the course curriculum and focused on Shadow AI risk, governance, and workplace control, including:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCurriculum-based professional training\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eShadow AI and Shadow IT concepts\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAI risk management and governance knowledge\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003ePrivacy, legal, and workplace risk coverage\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eShadow AI discovery and assessment principles\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eMonitoring, incident response, and maturity concepts\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eCertificate upon successful completion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Ai Governance Institute","offers":[{"title":"Default Title","offer_id":53228924600656,"sku":null,"price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0927\/1410\/7216\/files\/ShadowAIAIRiskManagementandGovernance_97ae43e1-11c6-4d17-8b2f-49c5e690d267.webp?v=1787119261"}],"url":"https:\/\/aigovernancecourses.com\/collections\/ai-risk-management.oembed?page=2","provider":"Ai Governance Institute","version":"1.0","type":"link"}