Master the balance between AI efficiency and ethical responsibility. Learn to mitigate algorithmic bias and ensure legal compliance to build a fair, future-ready workforce.
Welcome to the course on Ethical AI Use in HR. As artificial intelligence increasingly integrates into human resource management, it transforms how organizations recruit, train, and manage their workforce. This course is designed to guide professionals through the complex intersection of advanced technology and ethical responsibility. We will navigate the landscape where data-driven efficiency meets the fundamental rights of employees and candidates, ensuring that the adoption of AI technologies aligns with both legal standards and moral obligations.
In this comprehensive training, we establish a solid foundation by defining AI recruiting and mapping its applications across four distinct stages: outreach, screening, assessment, and facilitation. While exploring the potential for AI to mitigate human subjectivity and improve consistency, we will also conduct a deep dive into critical risks. These include the mechanisms of algorithmic bias, the "black box" problem of opacity, and the responsibility gap in automated decision-making. We will examine real-world case studies, such as Unilever and Amazon, to understand the tangible operational and legal impacts of these technologies.
Key topics covered in this course include:
By the end of this course, you will possess a comprehensive understanding of the ethical landscape surrounding AI in HR. You will be equipped to identify specific sources of bias in algorithmic tools, navigate complex data privacy regulations, and apply rigorous mitigation strategies. The ultimate objective is to empower you to leverage the efficiency gains of AI technology while upholding the highest standards of fairness, accountability, and legal compliance within your organization.
6 activities • 24 videos • duration: 1h 50m
ClearPath Group delivers concise, practice-ready CPD for HR teams, covering legal updates, bullying response, union engagement, data protection, and analytics — built for AU & NZ workplaces.
Professional development requirements vary by profession, country, and regulatory body. Before enrolling, review the course details and confirm that the content, learning format, and any listed credits meet your specific requirements. You are responsible for confirming eligibility with your regulator or professional association and keeping the records required for reporting.
