AI Governance for Executives & Board Members https://WebToolTip.com Published 3/2026
Created by Siam Hossain, School of AI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 48 Lectures ( 5h 46m ) | Size: 3.33 GB
Lead AI responsibly with board-level governance, risk management, compliance strategy and executive oversight framework.
What you'll learn
✓ Understand the strategic risks and opportunities of AI and why AI governance has become a critical responsibility for executives and board members.
✓ Design and implement an AI governance framework that aligns innovation, risk management, compliance, and executive oversight.
✓ Identify and assess key AI risks including bias, data privacy exposure, model hallucinations, cybersecurity threats, and regulatory compliance challenges.
✓ Develop practical governance tools such as AI risk registers, oversight structures, responsible AI policies, and board reporting dashboards.
✓ Prepare organizations for emerging AI regulations by conducting compliance gap assessments and building audit-ready documentation processes.
✓ Create a 12-month AI governance roadmap that enables responsible AI adoption while protecting enterprise value and reputation.
Requirements
● Basic familiarity with artificial intelligence concepts (such as AI tools, automation, or generative AI) at a high level.
● Experience in leadership, management, governance, risk, compliance, or strategy roles.
● Interest in understanding how AI impacts business decisions, risk management, and regulatory oversight.