Name: AI Governance for Business Leaders: Policy to Practice
Availability: InStock

What You'll Learn

Translate AI governance policies into practical operating processes, decision rights, and business controls.
Build an AI governance operating model with clear ownership, accountability, escalation paths, and executive oversight.
Identify and assess AI risks related to ethics, bias, privacy, security, compliance, reliability, and reputation.
Create practical guardrails for generative AI, agentic AI, data use, vendor selection, and automated decision-making.
Evaluate and prioritize AI use cases based on business value, feasibility, readiness, and risk.
Design human oversight, quality-review, approval, monitoring, and exception-handling processes for AI-enabled workflows.
Establish measurable governance metrics, dashboards, audit trails, and incident-response procedures.
Evaluate AI vendors, platforms, and models using governance, security, transparency, and procurement criteria.
Communicate AI governance priorities effectively to executives, boards, employees, customers, and business partners.
Develop an actionable AI governance practice system and a phased roadmap for implementation across the organization.

Requirements

Business leaders responsible for introducing, governing, or scaling AI within their organizations.
Executives, directors, department heads, and senior managers who need to make informed AI decisions without becoming technical specialists.
Risk, compliance, legal, privacy, cybersecurity, audit, and responsible AI professionals translating governance requirements into operating practices.
Technology, data, digital transformation, and innovation leaders building enterprise AI governance programs.
Product managers, program managers, project managers, and business analysts supporting AI initiatives.
Human resources, operations, finance, procurement, marketing, and customer-experience leaders managing AI-enabled workflows.
Consultants and advisors helping organizations develop AI policies, controls, operating models, and implementation roadmaps.
Board members and executive advisors seeking a practical understanding of AI oversight, accountability, risk, and value creation.
Professionals whose organizations already have AI policies but need a structured system for implementation, monitoring, and continuous improvement.
Leaders who want to balance innovation and business value with responsible use, stakeholder trust, and effective governance.

Professional Educator

An experienced instructor with expertise in this field and a passion for teaching.

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