Artificial Intelligence (AI) is rapidly transforming the landscape of Human Resources (HR), offering innovative solutions for recruitment, performance management, and employee engagement. AI systems can streamline processes, enhance decision-making, and improve efficiency. However, the deployment of AI in the workplace also presents significant challenges, particularly in terms of fairness and equity. One of the most pressing issues is the potential for AI-driven bias and discrimination. Unlike human biases, which are often easier to identify and address, biases embedded within AI systems can be more subtle and pervasive. These biases can arise from various sources, such as biased training data, flawed algorithms, or systemic inequalities reflected in the data used to train AI models. Consequently, AI systems can inadvertently perpetuate and even exacerbate existing biases, leading to unfair treatment of individuals based on gender, race, age, disability, or other personal characteristics. To address these critical issues, this 4-week online training is designed to provide participants with a deep understanding of AI technologies and their implications in the workplace. It aims to equip HR professionals, managers, policymakers, and other stakeholders with the knowledge and tools needed to identify, understand, and mitigate biases in AI applications. By exploring both regulatory and self-regulatory approaches, the training emphasizes the importance of ethical AI practices and promotes the development of fair and inclusive workplaces.