Using Generative AI for Performance Management

Using Generative AI for Performance Management

31mIntermediate2024-05-17

Authors

Shweta Mogha

Shweta Mogha

Cofounder and Chief Operating Officer of eWOW

Course details

AI is redefining the face of HR, and its use for performance management is no exception. A real game-changer, generative AI has now made it possible for managers and HR leaders to work smarter and faster with ease. In this course, join instructor Shweta Mogha as she provides an overview of recent developments in the world of HR and explains how to use generative AI for performance management.

Learn how to overcome some of the most common challenges of traditional performance management, leverage generative AI to improve goal-setting, cascade organizational goals, enhance performance dialogues, and more. Along the way, discover best practices and key ethical considerations, and uncover new possibilities for using AI to make promotion and succession decisions.

Skills covered

Thought LeaderArtificial Intelligence for DesignManagement SkillsAI Productivity ToolsArtificial Intelligence for BusinessVideoPhotographyGraphic DesignAnimation and IllustrationBusiness Analysis and StrategyLeadership and ManagementBusiness Software and Tools

Concepts

Introduction

  • Adding AI to performance management is a game-changer

The Need for AI in Performance Management

  • Challenges in traditional performance management
  • The role of AI in performance management challenges

Leveraging AI for Goal-Setting

  • Navigating challenges and leveraging AI in goal-setting
  • Using AI to set SMART goals

Cascading Organizational Goals with AI

  • Communicate and cascade goals using Generative AI

Enhancing Performance Dialogs with AI

  • Improving documented feedback through AI
  • Leveraging AI for effective performance dialogues

AI's Role in Promotion and Succession Decisions

  • Identifying high-potential talent with AI
  • Leveraging AI for succession planning
  • Used cases and best practices

Ethical Considerations and Resistance to Using AI in Performance Management

  • Ethical considerations of using generative AI
  • Challenges and resistance to AI in performance management

Conclusion

  • Next steps
40,000 Toman