AI Governance & HR Responsibilities

Welcome to the course "AI Governance & HR Responsibilities." Few contemporary business trends compare to the seismic shift that Artificial Intelligence has brought to the world of work. As AI reshapes organizational dynamics, the field of Human Resource Management must evolve to capitalize on these new capabilities while rigorously protecting ethical boundaries. This course is designed to equip HR professionals with the essential knowledge to navigate this transformation, moving from foundational concepts to a position of strategic leadership in responsible AI adoption.

Current research indicates that Human Resources has historically been slow to adopt AI, often due to a limited understanding of the technology. This comprehensive curriculum is structured to bridge that gap, guiding you through six chapters that take you from theory to practice. We will examine how AI, including Generative AI and Large Language Models, is currently being used in the profession, and ascertain which practices are being automated. Beyond the mechanics, we will illuminate the specific challenges AI presents—such as issues of trust, transparency, and bias—and provide useful strategies to support the ethical and responsible adoption of these technologies within your organization.

Key learning outcomes and topics covered in this course include:

• Foundational Knowledge: Understand the definitions and differences between Predictive AI, Machine Learning, and Generative AI to effectively assess their utility and risks.
• Strategic Governance: Learn to build a supportive organizational environment with robust governance frameworks, including cross-functional teams and clear accountability structures.
• Legal & Ethical Compliance: Navigate the complex legal landscape, including privacy laws, intellectual property rights, and specific considerations such as Māori data sovereignty.
• Risk Management: Identify and mitigate critical risks including data security vulnerabilities, algorithmic bias, and the potential for AI "hallucinations."
• Operational Oversight: Master the concept of "human-in-the-loop" to ensure AI acts as a support mechanism rather than an autonomous decision-maker, particularly in high-stakes areas like recruitment.
• Real-World Application: Analyze case studies from the public and private sectors to understand the practical benefits and pitfalls of AI in rostering, content creation, and talent management.

A core theme of this course is the transition from purely operational AI use to strategic, value-added application. By adhering to principles of responsible stewardship, fairness, and accountability, you will learn how to drive productivity and innovation while effectively mitigating risks. Join us to discover how HR can lead the way in building an organization where AI complements rather than replaces human judgment.