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Ethical AI Risk Management Course
Section 1: Introduction to AI and Risk Management
Course Introduction (3:16)
Understanding the fundamentals of artificial intelligence (AI) and its widespread applications (9:06)
Incorporating risk management principles into AI development and deployment (7:40)
Overview of potential risks associated with AI systems and their impact on various industries (6:51)
Section 2: Regulatory Landscape and Compliance
Section Summary (Click to read)
Overview of current regulations and standards governing AI technologies
Compliance requirements and best practices for organizations developing and deploying AI systems in regulated industries
The role of regulatory compliance in mitigating legal and reputational risks associated with AI implementation
Section 3: Ethical Considerations in AI
Section Summary (Click to read)
Ethical Challenges Arising from AI technologies (2:14)
Managing Ethical Risks in AI: Tangible Examples and Key Concerns (1:53)
Ethical Frameworks and Guidelines for Responsible AI Development (2:32)
Section 4: Bias Mitigation in AI Systems
Section Summary (Click to read)
Identifying Different Types of Biases Prevalent in AI systems
Strategies for Detecting and Mitigating Bias in AI algorithm (23:59)
Case study: Google's Gemini vs Open AI's Chat GPT, Bias Differences and Takeaways
Section 5: Fraud Prevention with AI (Just Launced!)
Section Summary (Click to read)
Overview of Fraud Detection and Prevention Techniques While Leveraging AI (27:27)
Role of AI in Enhancing Fraud Detection Accuracy (20:22)
The Use of AI for Fraud: Opportunities and Risks (15:59)
Section 6: Prompt Engineering for AI Systems (Coming Soon)
Section Summary (Click to read)
Bonus material - Guest Interviews, Frameworks and Templates
20+ Guest Interviews on Ethical AI Risk Management
Bonus Articles
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Incorporating risk management principles into AI development and deployment
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