PHAi Ethics & Governance For Enterprises
Published 6/2026
Created by Bashir Ahmed
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 35 Lectures ( 3h 54m ) | Size: 2.7 GB
What you'll learn
Define AI ethics and explain why it matters for enterprise risk, reputation, and regulation Identify key ethical risks in AI systems, including bias, privacy violations, opacity, and accountability gaps Describe major global AI regulations (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR) and their enterprise implications Design and implement an AI governance framework tailored to their organization Conduct AI risk assessments and document them using standard templates Establish internal AI review boards, policies, and vendor oversight processes Apply fairness and bias-mitigation techniques at a conceptual level Communicate AI ethics priorities to executive stakeholders and boardsRequirements
None - general business familiarity recommendedDescription
This course contains the use of artificial intelligence. However, the course content is 100% verified by and narrated by the instructor - Bashir Ahmed. See my bio for more about me!
As artificial intelligence reshapes how enterprises operate - from HR and finance to customer service and supply chains - the leaders who understand how to govern AI responsibly are the ones who will protect their organizations and build lasting competitive advantage.
This course gives business and technology leaders a practical, regulation-ready foundation in AI ethics and governance. You will learn how to identify ethical risks in AI systems, navigate the global regulatory landscape, design enterprise governance frameworks, and embed responsible AI practices across the AI lifecycle - no technical background required.
Through real-world case studies, downloadable templates, quizzes, and a capstone project, you will leave with actionable tools you can apply immediately: an AI ethics policy, a risk assessment scorecard, an AI review board charter, a vendor due diligence questionnaire, and more. Whether your organization is just beginning its AI journey or looking to strengthen existing programs, this course gives you the frameworks, vocabulary, and confidence to lead the conversation at the board level and beyond.
What Students Will Learn
• Define AI ethics and build the business case for responsible AI - covering risk, reputation, regulation, and competitive advantage
• Identify the key ethical risks in enterprise AI systems, including bias, privacy violations, opacity, accountability gaps, and generative AI misuse
• Navigate the global AI regulatory landscape, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, and GDPR
• Design and implement an AI governance framework tailored to your organization, including policies, roles, and review processes
• Conduct AI risk assessments and classify AI use cases by risk level using a structured, repeatable methodology
• Establish an AI Review Board with the right cross-functional composition, charter, and decision-making authority
• Apply fairness, transparency, and privacy-preserving techniques at a conceptual level to real enterprise AI deployments
• Govern third-party and vendor AI through due diligence questionnaires, contractual safeguards, and audit rights
• Build an AI-ethical organizational culture and communicate AI ethics priorities to executives, boards, employees, and regulators
• Govern generative AI tools responsibly with acceptable use policies, data input controls, and output verification processes
Who This Course Is Intended For
• C-suite executives and board members responsible for AI strategy, risk oversight, and corporate governance
• Chief Compliance Officers, General Counsel, and legal professionals navigating AI regulations and liability
• Risk management, audit, and internal control professionals assessing AI-related enterprise risks
• HR leaders deploying AI in talent acquisition, performance management, or workforce planning
• Technology and product leaders building, procuring, or overseeing AI-enabled systems
• Data privacy officers managing AI data governance, GDPR compliance, and data protection impact assessments
• Policy, government affairs, and public affairs professionals engaging with AI regulation and advocacy
• MB A students and business professionals seeking a structured foundation in responsible AI leadership
Who this course is for
Business executives, managers, compliance officers, legal professionals, IT leaders, HR leaders, and policy makersHomepage