About the Course
Artificial Intelligence is rapidly reshaping the human resources landscape, transitioning HR from traditional administrative operations into a data-driven strategic driver. However, incorporating AI into people management requires more than adopting new tools, it demands responsible adoption, strict data privacy controls, and human-in-the-loop governance.
This course explores the practical, legal, and architectural dimensions of deploying AI in HR. Participants will learn how to navigate enterprise data classification, establish AI usage policies, mitigate algorithmic bias and hallucination risks, and build automated, no-code workflows that optimize employee lifecycle processes without compromising compliance.
Course Objective
- To understand the strategic shift of AI in HR, balancing operational productivity with ethical human oversight
- To establish data governance, enterprise licensing standards, and data classification tiers to protect confidential employee information
- To mitigate risks associated with AI hallucinations, historical bias in recruitment, and regulatory compliance (such as the Data Privacy Act and EU AI Act)
- To explore no-code automation stacks (N8N, Zapier, Make) for building automated, AI-driven HR workflows
Course Outline
- Introduction to Generative AI in HR- Differentiating consumer AI from Enterprise-licensed models
- The role of AI as a productivity tool vs. human oversight in high-risk people decisions
- Data Classification, Privacy, and Responsible Usage- Understanding data tiers: Public, Internal, Confidential, and Legally Privileged
- Preventing data leakage and complying with the Data Privacy Act and global privacy standards
- AI Usage Policy and Real-World Failure Cases- Analyzing AI hallucination, fabricated citations, and legal liabilities
- Establishing corporate AI usage policies, auditing mechanisms, and enterprise agreements
- Regulatory Landscape and Algorithmic Bias- Navigating emerging regulations (EU AI Act) and high-risk HR process classifications
- Detecting and mitigating historical legacy bias in AI-assisted recruitment and evaluation
- HR Technology Architecture: Low-Code vs. No-Code Automation- Comparing enterprise HRIS platforms (SuccessFactors, Workday) with No-Code platforms
- Building automated HR workflows using data, logic, interface, and LLM intelligence layers
Target Participants
This course is designed for:
- HR leaders, talent acquisition managers, and HR business partners (HRBPs) driving digital adoption
- People analytics, HR technology, and HRIS specialists optimizing workplace systems
- Data privacy officers, compliance managers, and IT security managers setting AI governance
- Industrial engineers, process improvement leads, and business managers automating workflows
Certificate Requirements
- Completion of recorded webinar + quiz
- Pass the 10-item multiple choice with 80% mark
- Comment your feedback on the main page of the course
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