| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Getting Satarted With AI & Responsible Thinking | |||
| 1. Why Responsible AI Skills Are Critical in 2026 and Beyond.mp4 | 31.5 MB | ||
| 10 - Capstone Project — Apply Responsible AI in Practice | |||
| 11 - Final Thoughts & Your Next Steps | |||
| 2 - Foundations of AI Ethics & Responsible AI | |||
| 10. Why AI Ethics Matters.mp4 | 40.6 MB | ||
| 11. Core Principles of Responsible AI.mp4 | 43 MB | ||
| 12. Who is Affected by AI Decisions.mp4 | 38.7 MB | ||
| 13. Ethical vs Legal vs Business Trade-Offs in AI.mp4 | 36.7 MB | ||
| 15. Practice Exercise Identifying Ethical Issues in Everyday AI.mp4 | 38.1 MB | ||
| 3 - Bias & Fairness in AI | |||
| 16. How Bias Enters AI Systems.mp4 | 53.1 MB | ||
| 17. Types of Bias in Data and Models.mp4 | 44.1 MB | ||
| 18. Real Impact of Biased AI Decisions.mp4 | 43.2 MB | ||
| 19. Understanding Fairness.mp4 | 36.3 MB | ||
| 20. Feedback Loops and Historical Bias.mp4 | 17.2 MB | ||
| 21. How Bias Can Be Reduced.mp4 | 48 MB | ||
| 22. Hands-On Detecting Bias in a Simple Dataset.mp4 | 33 MB | ||
| 4 - Data Privacy & Responsible Data Handling | |||
| 23. What is Personal and Sensitive Data in AI.mp4 | 44.4 MB | ||
| 24. How AI Systems Can Misuse or Leak Data.mp4 | 42 MB | ||
| 25. Data Minimization and Consent.mp4 | 39.3 MB | ||
| 26. Privacy-Preserving Techniques.mp4 | 47.9 MB | ||
| 27. Hands-On Raw Data vs Anonymized Data.mp4 | 41.2 MB | ||
| 28. Data Ownership and User Rights.mp4 | 39 MB | ||
| 29. Using Synthetic Data to Protect Privacy.mp4 | 38.3 MB | ||
| 5 - Transparency & Explainability in AI | |||
| 30. Black Box vs Explainable AI.mp4 | 52.5 MB | ||
| 31. Why Transparency Builds Trust in AI.mp4 | 41.6 MB | ||
| 32. When AI Decisions Must Be Explained.mp4 | 38.4 MB | ||
| 33. Simple Explainability Techniques.mp4 | 39.8 MB | ||
| 34. Understanding Confidence and Uncertainty.mp4 | 41.6 MB | ||
| 35. Explaining AI Decisions to Non-Technical Stakeholders.mp4 | 35.8 MB | ||
| 36. Explaining an AI Model Decision.mp4 | 39.1 MB | ||
| 6 - Applying Responsible AI in Real Projects | |||
| 37. Where Ethics Fits in the AI Workflow.mp4 | 58.7 MB | ||
| 38. Performing a Basic AI Risk Assessment.mp4 | 43.7 MB | ||
| 39. Human-in-the-Loop Systems Explained.mp4 | 41.1 MB | ||
| 40. Monitoring AI Systems After Deployment.mp4 | 48.5 MB | ||
| 41. Ethical Thinking at the Problem Definition Stage.mp4 | 31.6 MB | ||
| 42. What to Do When AI Systems Fail.mp4 | 45.6 MB | ||
| 7 - AI Governance & Organizational Responsibility | |||
| 43. What is AI Governance.mp4 | 26.8 MB | ||
| 44. Roles in Responsible AI Teams.mp4 | 46.8 MB | ||
| 45. Overview of AI Regulations.mp4 | 32.6 MB | ||
| 46. Building an AI Ethics Checklist.mp4 | 43.5 MB | ||
| 47. AI Review Boards and Approval Processes.mp4 | 39.3 MB | ||
| 48. Managing Risk from Third-Party AI Systems.mp4 | 47.4 MB | ||
| 49. Building Your Own AI Governance Framework.mp4 | 52.1 MB | ||
| 8 - Responsible AI Tools & Industry Solutions | |||
| 50. Why Responsible AI Tools Are Essential Today.mp4 | 49.1 MB | ||
| 51. Categories of Responsible AI Tools.mp4 | 45 MB | ||
| 52. Bias Detection Tools.mp4 | 44.8 MB | ||
| 53. Explainability Tools.mp4 | 50.2 MB | ||
| 54. Data Privacy and Quality Tools.mp4 | 44.3 MB | ||
| 55. LLM Safety and Guardrails.mp4 | 45 MB | ||
| 56. Model Documentation and Audit Tools.mp4 | 48.1 MB | ||
| 57. Choosing the Right Tool for Your Needs.mp4 | 55.6 MB | ||
| 58. Exploring a Responsible AI Tool.mp4 | 40.7 MB | ||
| 59. Why Tools Alone Are Not Enough.mp4 | 35.7 MB | ||
| 9 - AI Regulations & Global Standards | |||
| 60. Why AI Regulation is Increasing Worldwide.mp4 | 46.5 MB | ||
| 61. Risk-Based AI Regulation.mp4 | 45.8 MB | ||
| 62. EU AI Act (Key Concepts Simplified).mp4 | 33.5 MB | ||
| 63. GDPR and AI Systems.mp4 | 48.1 MB | ||
| 64. AI Regulation in the United States.mp4 | 38.2 MB | ||
| 65. Global AI Standards (OECD, UNESCO, ISO).mp4 | 40.7 MB | ||
| 66. What Compliance Means for AI Teams.mp4 | 45.5 MB | ||
| 67. Mapping AI Use Cases to Risk Levels.mp4 | 41.6 MB | ||
| 68. Building Compliance into AI Systems.mp4 | 45.1 MB | ||
| 69. Staying Updated with AI Regulations.mp4 | 36.1 MB | ||
| 9. What is Responsible AI.mp4 | 45.1 MB | ||
| 76. Key Takeaways from the Course.mp4 | 35.2 MB | ||
| 77. Responsible AI as a Continuous Practice.mp4 | 37.4 MB | ||
| 78. Future Trends in AI Ethics and Governance.mp4 | 42.4 MB | ||
| 79. How Responsible AI Skills Impact Your Career.mp4 | 34.3 MB | ||
| 80. Your Role in Building Trustworthy AI.mp4 | 30.6 MB | ||
| 81. Course Wrap-Up and Next Steps.mp4 | 36.2 MB | ||
| 70. Introduction to the AI Use Case.mp4 | 42.2 MB | ||
| 71. Identifying Ethical Risks.mp4 | 56.9 MB | ||
| 72. Selecting Responsible AI Safeguards.mp4 | 53 MB | ||
| 73. Balancing Trade-Offs in AI Decisions.mp4 | 46.2 MB | ||
| 74. Stress Testing the AI System.mp4 | 46.5 MB | ||
| 75. Final Review and Lessons Learned.mp4 | 42.7 MB | ||
| 2. What Artificial Intelligence Really Is.mp4 | 35 MB | ||
| 3. What AI Can and Cannot Do.mp4 | 31.5 MB | ||
| 4. How AI Works The Complete Workflow Explained.mp4 | 43.1 MB | ||
| 5. Types of AI Systems Predictive vs Generative vs Agentic.mp4 | 33.7 MB | ||
| 6. AI Myths vs Reality (What Most People Get Wrong About AI).mp4 | 37.2 MB | ||
| 7. Real-World AI Failures (How AI Goes Wrong in Practice).mp4 | 36.5 MB | ||
| 8. Course Expectations & Mindset for Responsible AI.mp4 | 33 MB |
Responsible AI: Ethics, Bias, Risk & Governance
https://WebToolTip.com
Published 8/2026
Created by Project Management Essentials
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 81 Lectures ( 7h 54m ) | Size: 3.3 GB
AI Ethics, Bias & Risk | Governance, Explainability, Data Privacy
What you'll learn
⚡ Understand how AI systems actually work in real-world environments and where ethical risks emerge
⚡ Identify bias in datasets and AI models and apply practical techniques to detect and reduce it
⚡ Apply data privacy, anonymization, and responsible data handling practices in AI workflows
⚡ Explain AI decisions using simple, business-friendly explainability techniques
⚡ Perform AI risk assessments and implement governance frameworks for responsible deployment
⚡ Use industry tools and frameworks to monitor, audit, and manage AI systems responsibly
Requirements
❗ No prior experience in AI, coding, or data science is required; the course is designed for beginners
❗ Basic understanding of technology and business processes will be helpful but not mandatory
❗ A willingness to think critically about how AI impacts people, decisions, and organizations
❗ Access to a computer or laptop to follow along with demonstrations and hands-on exercises
❗ This course progressively builds from fundamentals to practical applications, making it accessible to all learners
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 671.6 MB | freecoursewb | 1 month | 15 | 6 | |
| 1.9 GB | freecoursewb | 1 month | 0 | 0 | |
| 3.8 GB | freecoursewb | 2 months | 3 | 4 | |
| 3.4 GB | freecoursewb | 3 months | 2 | 19 | |
| 1.7 GB | freecoursewb | 3 months | 0 | 0 |
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