Understanding How Other Types of Existing Laws Apply to AI
Understanding How Other Types of Existing Laws Apply to AI
AI - Security, Privacy and Governance
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Understand what AI is and why it needs governance.
Introduction to AI
What's AI (11 min)
IBM: SLM vs LLM vs Frontier Models
IBM: AI Periodic Table 16 min
IBM: Zero-Click Attacks: AI Agents and the Next Cybersecurity Challenge (15 min)
How AI Models Learn to Read and Write (Pre-training Objectives)
Foundation of Artificial Intelligence Governance: A Sociotechnical and Regulatory Analysis
Example: AI risk and threat modelling
IBM: LLM Hacking Defense: Strategies for Secure AI (14 min)
Discriminative AI
Activity 1 -Master the AI terminology
Activity 2 - Are you able to identify specific AI harms?
End of Module - Converging Architectures, Security, and Governance in the Age of AI
Governance Risk and Compliance
Defining Roles and Responsibilities for AI Governance Stakeholders
Establish Policies and Procedures to Apply Throughout the AI Life Cycle
Understanding How Existing Data Privacy Laws Apply to AI
Activity 3 - OECD Privacy principles
Understanding How Other Types of Existing Laws Apply to AI
Understanding the Main Elements of AI-Specific Laws
Understanding the Main Industry Standards and Tools That Apply to AI
Activity 4 - 40 Questions to test your understanding
Governing the development of AI
Governing the Designing and Building of the AI System
Governing the Collection and Use of Data in Training and Testing the AI Model and System
Governing the Release, Monitoring, and Maintenance of the AI System
Activity 5 - Test your understanding + Summary
Understanding how to govern AI deployment and use
Evaluating Key Factors and Risks Relevant to the Decision to Deploy the AI System
YT- Risk Management Framework - NIST (External)[9 Min]
Performing Key Activities to Assess the AI System
Governing the Deployment and Use of the AI System
Activity 6 - Quiz + Summary of important terminology
ExamHints.pdf
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AI - Security, Privacy and Governance
Buy now
Learn more
Understand what AI is and why it needs governance.
Introduction to AI
What's AI (11 min)
IBM: SLM vs LLM vs Frontier Models
IBM: AI Periodic Table 16 min
IBM: Zero-Click Attacks: AI Agents and the Next Cybersecurity Challenge (15 min)
How AI Models Learn to Read and Write (Pre-training Objectives)
Foundation of Artificial Intelligence Governance: A Sociotechnical and Regulatory Analysis
Example: AI risk and threat modelling
IBM: LLM Hacking Defense: Strategies for Secure AI (14 min)
Discriminative AI
Activity 1 -Master the AI terminology
Activity 2 - Are you able to identify specific AI harms?
End of Module - Converging Architectures, Security, and Governance in the Age of AI
Governance Risk and Compliance
Defining Roles and Responsibilities for AI Governance Stakeholders
Establish Policies and Procedures to Apply Throughout the AI Life Cycle
Understanding How Existing Data Privacy Laws Apply to AI
Activity 3 - OECD Privacy principles
Understanding How Other Types of Existing Laws Apply to AI
Understanding the Main Elements of AI-Specific Laws
Understanding the Main Industry Standards and Tools That Apply to AI
Activity 4 - 40 Questions to test your understanding
Governing the development of AI
Governing the Designing and Building of the AI System
Governing the Collection and Use of Data in Training and Testing the AI Model and System
Governing the Release, Monitoring, and Maintenance of the AI System
Activity 5 - Test your understanding + Summary
Understanding how to govern AI deployment and use
Evaluating Key Factors and Risks Relevant to the Decision to Deploy the AI System
YT- Risk Management Framework - NIST (External)[9 Min]
Performing Key Activities to Assess the AI System
Governing the Deployment and Use of the AI System
Activity 6 - Quiz + Summary of important terminology
ExamHints.pdf