AI for HR and Talent Management
الحصول على الكتيب
للحصول على كتيب بكامل محتويات الدورة برجاء ملء النموذج التالي ببياناتك الصحيحة
Program Professional Framework
AI for HR and Talent Management
Program Overview
Artificial intelligence is already embedded in sourcing tools, assessment platforms, learning systems and HR analytics, and HR leaders must decide where it adds value and where it creates risk. This programme examines AI use cases across the talent lifecycle: CV screening and candidate matching, skills inference and internal mobility, personalised learning, attrition prediction and workforce analytics. It covers data readiness, evaluating vendor claims, detecting bias, human oversight of decisions, and compliance with personal data protection laws in Saudi Arabia and the UAE, so that AI supports fair and explainable talent decisions in Gulf organisations.
Learning Outcomes
- ✓Map AI use cases across recruitment, development, performance and retention and prioritise them by value and risk.
- ✓Assess HR data quality and readiness for analytics and machine learning applications.
- ✓Evaluate AI-enabled talent tools using criteria for accuracy, explainability, bias and vendor transparency.
- ✓Interpret outputs of an attrition prediction or candidate matching model and their limitations.
- ✓Define human oversight and governance controls for AI-supported talent decisions.
- ✓Build a phased AI adoption roadmap for the HR function with success measures.
Target Audience
- HR directors and talent management leaders
- HR analytics and HR technology specialists
- Talent acquisition and learning managers
- HR transformation and digital HR project leads
Detailed Program Modules
01AI Fundamentals for HR Leaders
- Machine learning, generative AI and analytics explained
- Where AI fits in the HR technology stack
- Realistic benefits and limitations
02AI in Talent Acquisition
- CV parsing, matching and candidate ranking
- Chatbots and interview scheduling
- Risks of bias in screening algorithms
03AI in Development and Mobility
- Skills inference and skills taxonomies
- Personalised learning recommendations
- Internal talent marketplaces
04Workforce Analytics and Prediction
- Attrition and flight risk models
- Performance and engagement analytics
- Interpreting model outputs responsibly
05Ethics, Privacy and Governance
- Fairness testing and explainability
- Personal data protection requirements in Saudi Arabia and the UAE
- Human oversight and decision accountability
06Adoption Roadmap
- Selecting and piloting AI tools
- Change management for HR teams and managers
- Measuring value and scaling up
Training Methodology
Applied Project & Assessment
Applied Project
Participants prepare an AI adoption case for one talent process in their organisation: problem definition, data readiness assessment, vendor evaluation criteria, bias and privacy controls, pilot design and success measures.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.