Artificial Intelligence and Machine Learning Courses

AI+ Policy Maker

Length 1 day
Price NZD 1050 exc GST
Inclusions Exam Voucher

Course overview

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Why study this course

The AI+ Policy Maker course provides a comprehensive look at AI’s impact on governance and policymaking. It equips policymakers with essential knowledge of AI technologies, ethical standards, and public sector applications. Topics include AI governance, regulatory frameworks, socio-economic impacts, and responsible adoption strategies. Through case studies and global regulation insights, participants gain the skills to make informed decisions, craft AI policies, and address the challenges and opportunities of AI in public administration.

Exam and certification

This course also prepares students for the AI+ Policy Maker certification, and an exam voucher is included with the course.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

This course is designed to teach participants how to:

Understand future AI regulations to adapt business models and gain a competitive edge proactively.
Navigate AI adoption with knowledge of potential legal, ethical, and security risks, minimising liabilities.
Harmonize AI initiatives with SDGs and national innovation agendas. Craft compliant AI strategies, reducing enforcement risk and reputational exposure.

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Ministers
Secretaries
Agency Directors
Compliance Heads
Policy Advisors
Public Policy VPs
Government Relations Leads
Researchers and Lecturers on Tech‑Policy

Course subjects

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: Economic Impacts of AI

AI and the Future of Work
AI's Role in Economic Growth
Supporting AI Innovation and Entrepreneurship
AI in Developing Economies
Addressing Economic Inequalities

Module 7: AI Strategy, Implementation, and Collaboration

Developing National AI Strategies
Building AI Capabilities in the Public Sector
Public-Private Partnerships in AI
Funding and Investment in AI
Monitoring, Evaluation, and Continuous Improvement

Module 8: Shaping the Future of AI Policy

Emerging AI Technologies and Trends
International Cooperation on AI Governance
AI and the Sustainable Development Goals (SDGs)
Public Engagement and Transparency
The Future of AI Policy Making

Additional Module: AI Agents for Policy Makers

Understanding AI Agents
Case Study
Hands-On Activity

Prerequisites

Basic AI knowledge, including machine learning and data science
Awareness of policy-making and governance
Understanding of data privacy and ethics
Ability to interpret data-driven insights for AI policy formulation

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.