Ethical AI in HR: Navigating Challenges in Automation and Bias

Course Objectives

• Understand the ethical implications of using AI in HR practices.
• Identify and address biases in AI-driven HR tools.
• Develop strategies for implementing AI responsibly within HR functions.
• Foster a culture of fairness and transparency in AI-enabled decision-making.

Course Content

Introduction to Ethical AI in HR

• Overview of AI applications in HR (e.g., recruitment, performance management, employee engagement).
• Understanding ethical concerns: fairness, privacy, and accountability.
• Case studies: Positive and negative examples of AI in HR.

Bias in AI: Causes and Consequences

• Types of biases in AI systems: Data bias, algorithmic bias, and user bias.
• How bias impacts HR decisions (e.g., hiring, promotions).
• Tools and techniques to identify and mitigate biases in HR systems.

Designing and Implementing Ethical AI in HR

• Principles of responsible AI design: Transparency, explainability, and inclusivity.
• Regulatory and legal considerations: Data protection, anti-discrimination laws.
• Best practices for AI implementation in HR workflows.

Building a Fair AI Ecosystem in HR

• Engaging stakeholders: HR teams, AI developers, and employees.
• Strategies to promote fairness and equity in AI outcomes.
• Developing a roadmap for continuous monitoring and improvement of AI systems.
• Interactive group exercise: Crafting an ethical AI policy for HR.

DATE:

1ST BATCH:        27th – 30th Jan, 2026       

2ND BATCH:       19th – 22nd May, 2026 

3RD BATCH:       15th – 18th Sep, 2026