Course Description
AI helps managers and peers leverage feedback given across time and place for a more complete and objective picture of employee performance. This short course will provide insights into how AI can optimize project planning, scheduling, resource allocation, risk management, and more.
Learn how to use AI performance management systems to understand employee performance and enable a high-performance culture.
What You’ll Learn From This Course
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Understanding AI in Performance Management:
- Benefits and limitations of AI: You’ll explore how AI can automate tasks, analyze data for insights, and personalize feedback. You’ll also learn about potential biases and the importance of human oversight.
- AI-powered performance management tools: The course will likely introduce you to different software that utilizes AI for setting goals, tracking progress, and providing real-time feedback.
Applications of AI in Performance Reviews:
- Skill gap identification: AI can analyze data like employee performance records and project involvement to identify areas where employees might need upskilling or reskilling.
- Performance prediction: AI models can analyze historical data to predict an employee’s potential for future performance or flight risk.
- Personalized feedback and coaching: AI can analyze employee data and suggest specific areas for improvement and development opportunities tailored to individual needs.
- Automated progress tracking: AI can streamline data collection and reporting on key performance indicators (KPIs), saving time and effort.
Building and Implementing AI-powered Performance Management Systems:
- Data collection and management: You’ll learn about strategies for gathering relevant data to train and utilize AI models effectively.
- Designing effective AI-driven feedback: The course might cover how to structure performance reviews that incorporate AI-generated insights while maintaining a human touch.
- Change management for AI adoption: You’ll explore strategies for introducing AI into performance management processes while ensuring employee buy-in and addressing potential concerns.
Additional Considerations:
- Ethical implications of AI in performance management: The course will likely delve into potential biases in AI algorithms and how to mitigate them to ensure fair and ethical performance evaluations.
- The future of AI and performance management: You might explore how AI is expected to further evolve and impact performance management practices in the coming years.
Lessons:
