The Course on the Use of Artificial Intelligence in Human Resources provides specialised training in the application of AI technologies in talent management. Through a practical and theoretical approach, students will learn how the AI is transforming key HR processes., from the Smart recruitment and personalised onboarding up to the advanced people analytics, optimising the strategic decision-making in modern organisations.
Cross-cutting
AI Academy
10 a.m.
The Use of Artificial Intelligence in Human Resources
AI Academy
10 a.m.
Introduction
Objectives
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To know the The historical evolution of HR towards the digital age and AI.
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Apply chatbots and matching algorithms to improve the recruitment and selection of talent.
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Design personalised onboarding experiences using AI tools.
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Analysing personal data using people analytics and predictive models to anticipate staff turnover, engagement and occupational risks.
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Understanding the Myths and realities of AI in HR. and how to make the most of it in an ethical and efficient way.
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Reduce biases in recruitment processes using intelligent algorithms.
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Transforming the data in strategic decision-making that optimise talent management.
Table of Contents
TEACHING UNIT 1. From the department to the digital age
Disruptive technologies in people management
HR’s historic journey towards AI
Why AI is key to HR today
Myths and realities about artificial intelligence
TEACHING UNIT 2. The future of smart recruitment
Chatbots as the first point of contact with candidates
Skills matching: talent and role
Automatic CV screening using an algorithm
Selection biases: how to reduce them using AI
TEACHING UNIT 3. The onboarding of the future
AI to design personalised onboarding experiences
Chatbots to provide support during the first few days
Automatically generated micro-learning modules
Real-time measurement of cultural integration
TEACHING UNIT 4. Analysis of individuals
What is people analytics and why does it matter?
Predictive models of turnover and engagement
AI for the prevention of occupational risks
From data to strategic decision-making
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