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Overview Prerequisites Self Study Materials Included Tools What You’ll Learn Course Modules FAQs

What’s Included?

icon High-Quality Video, E-book & Audiobook icon Modules Quizzes icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Familiarity with AI basics, including machine learning and data science fundamentals.
    • Awareness of policy-making processes and governance structures.
    • Understanding of data privacy principles and ethical concerns relevant to technology and AI.
    • Ability to interpret data-driven insights, as these are crucial for policy formulation based on AI applications.

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

TensorFlow

TensorFlow

SHAP (SHapley Additive exPlanations)

SHAP (SHapley Additive exPlanations)

Amazon S3

Amazon S3

AWS SageMaker

AWS SageMaker

What You’ll Learn

AI in Governance and Public Policy

Gain insights into how AI can enhance governance, service delivery, and policy-making. Learn from case studies on AI in sectors like healthcare, education, and transportation.

Ethical, Social, and Human Rights Implications of AI

Understand the ethical considerations surrounding AI, including fairness, transparency, and accountability. Develop strategies to mitigate bias and protect human rights in AI systems.

Legal and Regulatory Frameworks for AI

Dive deep into global AI regulations, data privacy laws, and intellectual property considerations. Master the nuances of developing policies that ensure legal compliance and ethical AI deployment.

AI Strategy and Implementation

Learn to craft AI strategies at the national level, integrating AI with public sector policies, aligning stakeholders, and addressing economic inequalities through AI solutions.

Course Modules

Module 1: Introduction to Artificial Intelligence
  1. 1.1 Understanding AI: Definitions and Concepts
  2. 1.2 Historical Development of AI
  3. 1.3 Current AI Technologies and Applications
  4. 1.4 AI Trends and Future Directions
  5. 1.5 AI Terminology and Jargon for Policy Makers
Module 2: AI in Governance and Public Policy
  1. 2.1 Role of AI in Government and Public Services
  2. 2.2 Case Studies of AI in Public Administration
  3. 2.3 AI for Regulatory Compliance and Enforcement
  4. 2.4 Challenges of AI Adoption in Government
  5. 2.5 Policy Considerations for AI Implementation
Module 3: Ethical, Social, and Human Rights Implications of AI
  1. 3.1 Principles of AI Ethics
  2. 3.2 Bias, Fairness, and Discrimination in AI Systems
  3. 3.3 Privacy and Data Protection
  4. 3.4 Socio-Economic Impacts of AI
  5. 3.5 AI and Human Rights
Module 4: Legal and Regulatory Frameworks for AI
  1. 4.1 Overview of AI Regulations Globally
  2. 4.2 Data Governance and Privacy Laws
  3. 4.3 Intellectual Property Rights in AI
  4. 4.4 Liability and Accountability in AI Systems
  5. 4.5 Developing AI Policies and Legislation
Module 5: AI Risk Management and Security
  1. 5.1 AI Safety and Security Challenges
  2. 5.2 Risk Assessment and Management Strategies
  3. 5.3 Cybersecurity and AI
  4. 5.4 Ensuring Reliability and Resilience
  5. 5.5 Incident Response and Crisis Management
Module 6: Economic Impacts of AI
  1. 6.1 AI and the Future of Work
  2. 6.2 AI’s Role in Economic Growth
  3. 6.3 Supporting AI Innovation and Entrepreneurship
  4. 6.4 AI in Developing Economies
  5. 6.5 Addressing Economic Inequalities
Module 7: AI Strategy, Implementation, and Collaboration
  1. 7.1 Developing National AI Strategies
  2. 7.2 Building AI Capabilities in the Public Sector
  3. 7.3 Public-Private Partnerships in AI
  4. 7.4 Funding and Investment in AI
  5. 7.5 Monitoring, Evaluation, and Continuous Improvement
Module 8: Shaping the Future of AI Policy
  1. 8.1 Emerging AI Technologies and Trends
  2. 8.2 International Cooperation on AI Governance
  3. 8.3 AI and the Sustainable Development Goals (SDGs)
  4. 8.4 Public Engagement and Transparency
  5. 8.5 The Future of AI Policy Making

Frequently Asked Questions

Yes, the AI+ Policy Maker™ certification is recognized as a valuable credential for professionals working in public administration, policy-making, and AI governance.

This course helps you understand the ethical, legal, and societal challenges of AI, enabling you to design policies that foster responsible AI deployment.

The course includes practical case studies, AI governance frameworks, global AI regulations, and real-world applications of AI in public policy.

The certification will equip you with the skills to lead AI-driven policy initiatives, shape public sector AI strategies, and ensure that AI is developed and implemented.

This course focuses on policy-making, teaching you to create regulations, ensure ethical AI deployment, address socio-economic impacts in the public sector.