About the Course:
A future-ready onboarding session crafted exclusively for HR professionals, designed to build foundational AI fluency and confidence. Learn how AI can streamline, support, and elevate your HR workflows, from recruitment to retention, without losing the human touch.
This workshop delves into how AI can enhance performance evaluations, provide real-time feedback, and foster a culture of continuous improvement.
Course Objective:
- To empower HR teams with practical insights and strategies for integrating AI into performance management processes. Participants will learn to utilize AI for data-driven evaluations, identify performance trends, and implement personalized development plans, ensuring a more objective and efficient performance management system.
Who is the Target Audience?
- This course is designed for HR professionals and business leaders involved in talent management, workforce development, and data-driven decision-making. Ideal participants include HR managers, business partners, and directors; people leaders overseeing team performance; and professionals in talent development, organizational effectiveness, and HR operations. It also targets individuals in HR analytics, HRIS, and data roles, as well as senior executives such as CHROs and COOs seeking strategic insights. Those leading HR technology or digital transformation initiatives, consultants and solution providers in the HR space, AI and data science professionals with an HR focus, and MBA or executive education participants with an interest in HR innovation will also benefit from the course.
Basic Knowledge:
- There are no prerequisites for this course.
Curriculum
Total Duration: 3 Hours
Understanding AI in Performance Management: Exploring the role and benefits of AI in modern performance evaluations.
Data-Driven Evaluations: Utilizing AI to analyze performance metrics and provide objective assessments.
Real-Time Feedback Mechanisms: Implementing AI tools to deliver timely and constructive feedback to employees.
Personalized Development Plans: Leveraging AI to create tailored growth plans based on individual performance data.
Bias Mitigation: Understanding how AI can help reduce unconscious bias in performance reviews.
Ethical Considerations: Navigating the ethical implications and ensuring transparency in AI-driven performance management.
Case Studies: Examining real-world examples of successful AI integration in performance management processes.