HR Algorithmic Management: Ensuring Fair Labor Practices

Master HR algorithmic management, using AI to ensure fair labor practices and compliance with regulations.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
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Batch One
Monday, July 07, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Two
Monday, August 04, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Three
Monday, September 08, 2025
12:00 PM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

HR algorithmic management uses AI to optimize workforce planning, scheduling, and performance monitoring, but it must be implemented carefully to ensure fairness. This course explores how to leverage AI for HR management while maintaining equitable labor practices and regulatory compliance. Participants will learn to address challenges like algorithmic bias.

The course covers AI applications such as automated CV review, emphasizing their role in fair labor practices. Through case studies, learners will gain insights into designing AI systems that align with labor laws and promote workplace equity.

Course Objectives:

  • Address algorithmic bias in HR.
  • Understand HR algorithmic management.
  • Learn to use AI for workforce planning.
  • Ensure fair labor practices with AI.
  • Develop AI implementation strategies.
  • Analyze case studies of AI management.
  • Ensure compliance with labor laws.

Who is the Target Audience?

  • Engineers assisting HR professionals
  • HR professionals
  • Workforce planners
  • Compliance officers
  • Labor law specialists
  • Operations managers

Basic Knowledge:

  • Familiarity with HR management
  • Basic knowledge of labor laws
  • Understanding of AI fundamentals

Curriculum
Total Duration: 3 Hours
Introduction to Algorithmic Management
AI in Workforce Scheduling
Predictive Performance Analytics
Ensuring Fairness in AI Systems
Addressing Algorithmic Bias
Data Privacy in HR Management
Case Study: AI in Retail Scheduling
Case Study: AI in Logistics Management
Case Study: AI - General Management of Staff
Labor Law Compliance With AI
Employee Training for AI Systems
Vendor Selection for AI Tools
Cost-Benefit of AI Management
Scalability of AI Solutions
Measuring Management ROI
Collaboration With HR Teams
Overcoming Bias Challenges
Future Trends in AI Management
Best Practices for AI Deployment
Integration With HR Systems
Promoting Workplace Equity