| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - AI Risk Foundations for Business Decisions | |||
| 1. AI Risk in Business Context.mp4 | 25.9 MB | ||
| 2 - Strategy Alignment and Governance Setup | |||
| 10. Policies That Actually Get Used.mp4 | 22 MB | ||
| 11. Governance for Startups Versus Enterprises.mp4 | 23.9 MB | ||
| 12. Evidence from Emerging AI Governance Standards.mp4 | 21.2 MB | ||
| 3 - Data Privacy and Information Protection | |||
| 13. Data Risks Inside AI Workflows.mp4 | 27.9 MB | ||
| 14. Preventing Sensitive Data Leakage.mp4 | 34.7 MB | ||
| 15. Privacy by Design for AI Projects.mp4 | 24.1 MB | ||
| 16. Common Data Handling Mistakes with AI Tools.mp4 | 17.8 MB | ||
| 17. Vendor Privacy Due Diligence Questions.mp4 | 24.3 MB | ||
| 18. Case Study on AI and Confidential Information.mp4 | 23.8 MB | ||
| 4 - Bias Fairness and Responsible Decision Making | |||
| 19. How Bias Enters AI Systems.mp4 | 24.2 MB | ||
| 20. Fairness Checks Leaders Can Request.mp4 | 23 MB | ||
| 21. When Not to Automate Decisions.mp4 | 17.9 MB | ||
| 22. Reducing Bias Through Better Process Design.mp4 | 23.9 MB | ||
| 23. Research and Regulation on Algorithmic Fairness.mp4 | 24.6 MB | ||
| 24. Case Study on Biased AI Recommendations.mp4 | 24 MB | ||
| 5 - Security Threats and Adversarial Risks | |||
| 25. AI Security Risks Leaders Should Know.mp4 | 27.9 MB | ||
| 26. Securing AI Tools and Integrations.mp4 | 30.4 MB | ||
| 27. Common Security Gaps in AI Adoption.mp4 | 19.5 MB | ||
| 28. Third Party and Supply Chain Exposure.mp4 | 21.5 MB | ||
| 29. Incident Response for AI Related Events.mp4 | 21.3 MB | ||
| 30. Case Study on Prompt Injection Failure.mp4 | 24.1 MB | ||
| 6 - Model Reliability Quality and Human Oversight | |||
| 31. Reliability Risks in AI Outputs.mp4 | 25.4 MB | ||
| 32. Designing Human in the Loop Controls.mp4 | 25 MB | ||
| 33. Testing AI Before Business Launch.mp4 | 33 MB | ||
| 34. Metrics That Matter for Leaders.mp4 | 24.7 MB | ||
| 35. Common Oversight Failures in Production.mp4 | 18.5 MB | ||
| 36. Case Study on Unreliable Customer Facing AI.mp4 | 22.7 MB | ||
| 7 - Legal Compliance and Vendor Management | |||
| 37. The Legal Landscape for AI Use.mp4 | 25.8 MB | ||
| 38. Intellectual Property and Content Risk.mp4 | 27.5 MB | ||
| 39. Contract Clauses for AI Vendors.mp4 | 34.5 MB | ||
| 40. Compliance Mistakes During Fast Adoption.mp4 | 15.6 MB | ||
| 41. Procurement Review for AI Solutions.mp4 | 23.4 MB | ||
| 42. Case Study on Vendor Risk Escalation.mp4 | 24.3 MB | ||
| 8 - Implementation Roadmap Monitoring and Executive Action | |||
| 43. Creating an AI Risk Register.mp4 | 26.5 MB | ||
| 44. Prioritizing Controls with Limited Resources.mp4 | 22.3 MB | ||
| 45. Training Teams for Safe AI Use.mp4 | 20.5 MB | ||
| 46. Monitoring AI Risk Over Time.mp4 | 21 MB | ||
| 47. Executive Dashboard for AI Governance.mp4 | 20.8 MB | ||
| 48. Building a 90 Day AI Risk Plan.mp4 | 24.3 MB | ||
| 49. Advanced Governance for Scaling AI.mp4 | 22.4 MB | ||
| 50. Leadership Playbook for Immediate Implementation.mp4 | 21.1 MB | ||
| 7. Choosing AI Use Cases Worth the Risk.mp4 | 25.4 MB | ||
| 8. Building an AI Governance Model.mp4 | 32.3 MB | ||
| 9. Who Owns AI Risk Internally.mp4 | 19.8 MB | ||
| 2. The Main Categories of AI Risk.mp4 | 26.2 MB | ||
| 3. Where Leaders Misjudge AI Exposure.mp4 | 17.2 MB | ||
| 4. Risk Appetite for AI Initiatives.mp4 | 23.2 MB | ||
| 5. A Simple AI Risk Assessment Flow.mp4 | 27.4 MB | ||
| 6. Case Study on a Failed AI Rollout.mp4 | 23 MB |
AI Risk Management for Leaders and Founders
https://WebToolTip.com
Published 8/2026
Created by Influx Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 50 Lectures ( 3h 12m ) | Size: 1.2 GB
Master AI risk management, compliance, governance, and responsible AI strategy for leaders, managers, founders, and team
What you'll learn
⚡ Understand the foundations of AI risk management for business decisions
⚡ Align AI strategy with governance, policies, and organizational goals
⚡ Identify AI-related privacy, data, security, and compliance risks
⚡ Recognize bias, fairness, and responsible AI decision-making challenges
⚡ Assess AI model reliability, quality, and human oversight needs
⚡ Manage legal, regulatory, third-party, and AI vendor risks
⚡ Build practical AI risk controls, monitoring, and implementation plans
⚡ Make more informed, compliant, and responsible AI decisions
Requirements
❗ No technical AI or programming experience is required
❗ Basic understanding of business operations and decision-making is helpful
❗ Suitable for beginners, managers, leaders, and founders
❗ An interest in AI, risk management, compliance, or governance is recommended
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