Ep 737: AI Governance in Plain English: 5 AI Rules Every Company Needs to follow (Start Here Series Vol 14)

Pop quiz: If your company's agents go off the rails, can you confidently name the human at fault in 10 seconds? 

Prolly not. 

Because lately, companies have spent more energy on going fast and breaking things instead of governance. 

Ready for the ironic part? People think AI governance slows you down. But, it actually speeds you up. 

Join us as we give you the 101 on AI Governance and the 5 AI Rules Every Company Needs to Follow. 

AI Governance in Plain English: 5 AI Rules Every Company Needs to follow -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. AI Governance Explained in Plain English
2. Why AI Governance Matters for Companies
3. Deloitte AI Governance Statistics Breakdown
4. Challenges in Governing Rapidly Evolving AI
5. Real-World Lawsuits from Ungoverned AI
6. U.S. vs. EU AI Governance Laws Overview
7. Five Essential AI Governance Rules
8. Shadow AI and AI Tool Inventory Risks
9. Classifying AI Tools by Risk Level
10. Assigning Clear Ownership of AI Systems
11. Writing Playbooks Versus Policy Documents
12. Governance as an AI Scaling Engine
13. Importance of Monthly AI Governance Reviews

Timestamps:

00:00 "AI Governance Gap Insights"

05:56 "AI Governance Challenges Today"

09:03 "AI Governance Matters More Now"

11:57 AI Governance Showdown Looms

16:23 Optimizing AI Use in Organizations

19:21 "Classify and Assess Risk Levels"

21:32 "Clear Accountability for Crashes"

25:14 "AI Use Responsibility Retained"

29:42 "AI Governance: Stay Adaptive Daily"

31:09 "AI Adoption Made Easy"

Keywords: 

AI governance, AI rules, artificial intelligence governance, AI risk management, operational AI governance, agentic AI, autonomous AI, AI use cases, AI adoption, AI inventory, shadow AI, shadow AI breaches, AI sprawl, AI tools, AI transformation, AI policy, AI playbooks, risk classification, AI risk tiers, unacceptable risk, high risk AI, minimal risk AI, limited risk AI, human review in AI, AI agent crash, clear ownership in AI, cross functional committee, AI responsibility, domain expertise, AI user, data breaches, ROI on AI, AI impact tracking, AI training, scaling AI governance

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