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AI+ Policy Maker

SS Course: 9000596

Course Overview

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The AI+ Policy Maker course is designed to equip professionals with strategic expertise in AI governance, ethics, and risk management. It offers a comprehensive understanding of responsible AI deployment, regulatory frameworks, and the societal impact of artificial intelligence. Through real-world scenarios and global policy perspectives, participants learn to navigate legal, ethical, and operational challenges in AI implementation.                                                                  

Scheduled Classes

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03/19/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
04/16/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
05/21/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
06/18/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)

What You'll Learn

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  • Gain the skills to shape global AI policies, driving innovation and ensuring secure, ethical cross-border data flows
  • Learn to integrate AI into sustainability policies, positioning yourself as a leader in smart environmental management
  • Develop AI-driven economic policies to boost growth and innovation, enhancing your career as a leader in global competitiveness
  • Master AI security and risk management to ensure system resilience, building trust in AI initiatives
  • Lead the creation of ethical AI guidelines, ensuring responsible development and prioritizing societal well-being in your policies

Outline

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Introduction to Artificial Intelligence
  • Understanding AI: Definitions and Concepts
  • Historical Development of AI
  • Current AI Technologies and Applications
  • AI Trends and Future Directions
  • AI Terminology and Jargon for Policy Makers
 
AI in Governance and Public Policy
  • Role of AI in Government and Public Services
  • Case Studies of AI in Public Administration
  • AI for Regulatory Compliance and Enforcement
  • Challenges of AI Adoption in Government
  • Policy Considerations for AI Implementation
 
Ethical, Social, and Human Rights Implications of AI
  • Principles of AI Ethics
  • Bias, Fairness, and Discrimination in AI Systems
  • Privacy and Data Protection
  • Socio-economic Impacts of AI
  • AI and Human Rights
 
Legal and Regulatory Frameworks for AI
  • Overview of AI Regulations Globally
  • Data Governance and Privacy Laws
  • Intellectual Property Rights in AI
  • Liability and Accountability in AI Systems
  • Developing AI Policies and Legislation
 
AI Risk Management and Security
  • AI Safety and Security Challenges
  • Risk Assessment and Management Strategies
  • Cybersecurity and AI
  • Ensuring Reliability and Resilience
  • Incident Response and Crisis Management

Prerequisites

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  • Basics of AI and ML
  • Understanding of data privacy principles
  • Awareness of policy-making processes
  • Ability to interpret data-driven insights

    Who Should Attend

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    • Government Executives
    • Ethics & Compliance Professional
    • Security Governance and Risk Manager

    Next Step Courses

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