AI+ Human Resources (AIHR)

Voraussetzungen

• Basic understanding of human resource management principles
• Knowledge of AI concepts and applications in business settings
• Familiarity with data analysis and interpretation
• Proficiency in using computer software and tools for data manipulation
• A willingness to engage with technical subjects and apply AI technologies in the context of learning and development.

Detaillierter Kursinhalt

Module 1: Foundations of Artificial Intelligence (AI) in HR

• 1.1 Introduction to AI Technologies
• 1.2 AI’s Role in HR Evolution
• 1.3 AI Applications in HR
• 1.4 Preparing HR for AI Integration

Module 2: AI-Enhanced Recruitment and Onboarding

• 2.1 Revolutionizing Recruitment with AI
• 2.2 Enhancing Onboarding with AI
• 2.3 Implementing AI in Recruitment and Onboarding

Module 3: Enhancing Employee Experience and Engagement

• 3.1 Personalizing Employee Development with AI
• 3.2 AI for Employee Engagement and Sentiment Analysis
• 3.3 Implementing AI Solutions for Employee Experience

Module 4: Workforce Analytics and Talent Management

• 4.1 Introduction to Workforce Analytics
• 4.2 Predictive Analytics for HR
• 4.3 AI in Talent Management and Succession Planning
• 4.4 Ethical Considerations in Workforce Analytics

Module 5: Ethical AI and Bias Mitigation

• 5.1 Understanding Ethical AI in HR
• 5.2 Identifying and Mitigating Bias in AI Tools
• 5.3 Implementing Ethical AI Practices in HR
• 5.4 Building an Ethical AI Culture

Module 6: Legal Considerations in AI for HR

• 6.1 Legal Landscape for AI in HR
• 6.2 Compliance Strategies for AI in HR
• 6.3Navigating Regulatory Changes
• 6.4 Ethical and Legal Alignment

Module 7: Preparing for the Future of AI in HR

• 7.1 Future Trends in AI and HR
• 7.2 Building Organizational Readiness for AI
• 7.3 Strategic Planning for AI Adoption
• 7.4 Ethical and Future Considerations

Module 8: Implementing AI in HR: A Practical Workshop

• 8.1 Project Planning and Design
• 8.2 Implementation Strategy
• 8.3 Monitoring, Evaluation, and Scaling
• 8.4 Ethical and Legal Considerations