Academic edition · 2026
Human Resources in the Age of Artificial Intelligence
Technology, professional judgment and responsibility in people management
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Sections
- —
Foundations and purpose of this edition
A critical approach to the relationship between technology, work and professional responsibility.
- Foreword
- Introduction and scope
- How to read this book
- Working concepts
- 01
Information systems in Human Resources
Architecture, data quality and responsibility in people management processes.
- 1.1 Information, processes and decisions
- 1.2 Evolution and integration
- 1.3 Data quality and meaning
- 1.4 Governance and access
- 1.5 Evaluating improvement
- 02
Emerging technologies and their limits
Distinguishing automation, prediction and generation to choose proportionate applications.
- 2.1 Machine learning
- 2.2 Language and generative assistants
- 2.3 Process automation
- 2.4 Emotions, biometrics and surveillance
- 2.5 Proportionate technology selection
- 03
Talent management platforms and tools
Academic and operational criteria for comparing solutions without confusing advertising with evidence.
- 3.1 Functions and architecture
- 3.2 Comparison criteria
- 3.3 Evidence and acceptance testing
- 3.4 Dependency and reversibility
- 3.5 Implementation and adoption
- 04
Artificial intelligence and performance appraisal
Measuring work, context and human review in decisions with career consequences.
- 4.1 What is to be measured
- 4.2 Goals and feedback
- 4.3 Bias and comparisons
- 4.4 Review and disagreement
- 4.5 Development versus control
- 05
Recruitment and selection with artificial intelligence
Validity, accessibility and non-discrimination in access to employment.
- 5.1 Job analysis
- 5.2 Application screening
- 5.3 Interviews and accessibility
- 5.4 Fairness and auditing
- 5.5 Decisions and communication
- 06
Predictive analytics and talent planning
Forecasts, scenarios and uncertainty to support decisions without defining individual destinies.
- 6.1 Asking useful questions
- 6.2 Turnover and causality
- 6.3 Time-based validation
- 6.4 Scenarios and capabilities
- 6.5 Monitoring and withdrawal
- 07
Agile methods and organizational transformation
Controlled experimentation, participation and learning in the digitalization of Human Resources.
- 7.1 Agility and purpose
- 7.2 Designing a pilot
- 7.3 Participation and trust
- 7.4 Training and competencies
- 7.5 Learning and documentation
- 08
Cybersecurity and information protection
Security, minimization and incident response in systems processing personal data.
- 8.1 Data and purposes
- 8.2 Access and separation of duties
- 8.3 AI-specific threats
- 8.4 Incidents and continuity
- 8.5 Retention and review
- 09
The future of work and the profession
Scenarios, competencies and criteria for guiding a transformation centered on people.
- 9.1 Tasks and jobs
- 9.2 Professional competencies
- 9.3 Inclusion and access
- 9.4 Participation and negotiation
- 9.5 Open scenarios
- 10
Conclusions and roadmap
From technological promises to professional practice that is accountable and open to evaluation.
- 10.1 Synthesis of the argument
- 10.2 A staged roadmap
- 10.3 Responsibilities and evidence
- 10.4 Periodic review
- 10.5 Professional judgment
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Sources, editorial method and conditions of reading
Verifiable references and the limits of a multilingual academic edition.
- Legal and methodological sources
- Notes and quotations
- Provenance and review
- Educational use and answers