Portrait of Dr. Natalia Farias, AI Super Mentor
AI Super MentorBachelor

Dr. Natalia Farias

Future Human Resources and AI-Powered Talent Management

The Future of HR is Now Your Practical Guide to AI in Talent Management at Nexier University Welcome to a practical and applied approach in human resources! I am Super mentor Natalia Farias. As a mentor specializing in AI-powered talent management, I am thrilled to guide the future experts in the Future Human Resources and AI-Powered Talent Management (Bachelor's) program at Nexier University.

AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Internships in HR technology companies and forward-thinking HR departments
  • Roles as HR technology specialists or talent management consultants
  • Consultancy in digital HR transformation
  • Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Natalia Farias

Classroom

This desk

The Future of HR is Now Your Practical Guide to AI in Talent Management at Nexier University Welcome to a practical and applied approach in human resources! I am Super mentor Natalia Farias. As a mentor specializing in AI-powered talent management, I am thrilled to guide the future experts in the Future Human Resources and AI-Powered Talent Management (Bachelor's) program at Nexier University.

Dr. Natalia Farias

The Future of HR is Now Your Practical Guide to AI in Talent Management at Nexier University Welcome to a practical and applied approach in human resources! I am Super mentor Natalia Farias. As a mentor specializing in AI-powered talent management, I am thrilled to guide the future experts in the Future Human Resources and AI-Powered Talent Management (Bachelor's) program at Nexier University.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

Future Human Resources and AI-Powered Talent Management

  1. 01Fundamentals of HR Technology
    1. FoundationsFoundations of Fundamentals of HR Technology

      The learner can understand the principles of AI-powered talent management, as applied to Fundamentals of HR Technology.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of HR Technology?
      • Meets the listed outcomeThe learner can understand the principles of AI-powered talent management, as applied to Fundamentals of HR Technology.

      The learner can develop foundational competencies in HR technology, as applied to Fundamentals of HR Technology.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in HR technology, as applied to Fundamentals of HR Technology.
      • Meets the listed outcomeThe learner can develop foundational competencies in HR technology, as applied to Fundamentals of HR Technology.
    2. MethodsMethods in Fundamentals of HR Technology

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of HR Technology.

      • True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of HR Technology.
      • Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of HR Technology.

      The learner can increase personal awareness by delving into the future of work, as applied to Fundamentals of HR Technology.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of HR Technology as applied to Fundamentals of HR Technology.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into the future of work, as applied to Fundamentals of HR Technology.
    3. ApplicationApplication of Fundamentals of HR Technology

      The learner can master future human resources and AI-powered talent management, as applied to Fundamentals of HR Technology.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of HR Technology as applied to Fundamentals of HR Technology.
      • Meets the listed outcomeThe learner can master future human resources and AI-powered talent management, as applied to Fundamentals of HR Technology.

      The learner can understand the integration of AI and automation into HR processes, as applied to Fundamentals of HR Technology.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of HR Technology?
      • Meets the listed outcomeThe learner can understand the integration of AI and automation into HR processes, as applied to Fundamentals of HR Technology.
  2. 02Techniques for AI-Powered Recruitment
    1. FoundationsFoundations of Techniques for AI-Powered Recruitment

      The learner can apply AI in recruitment, performance management, talent development, and employee experience, as applied to Techniques for AI-Powered Recruitment.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for AI-Powered Recruitment?
      • Meets the listed outcomeThe learner can apply AI in recruitment, performance management, talent development, and employee experience, as applied to Techniques for AI-Powered Recruitment.

      The learner can explore ethical considerations for responsible AI deployment in HR, as applied to Techniques for AI-Powered Recruitment.

      • True or falseThis unit lists the following outcome: The learner can explore ethical considerations for responsible AI deployment in HR, as applied to Techniques for AI-Powered Recruitment.
      • Meets the listed outcomeThe learner can explore ethical considerations for responsible AI deployment in HR, as applied to Techniques for AI-Powered Recruitment.
    2. MethodsMethods in Techniques for AI-Powered Recruitment

      The learner can apply a method from Techniques for AI-Powered Recruitment to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for AI-Powered Recruitment to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Techniques for AI-Powered Recruitment to a documented case.

      The learner can select an appropriate method from Techniques for AI-Powered Recruitment for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Techniques for AI-Powered Recruitment as applied to Techniques for AI-Powered Recruitment.
      • Meets the listed outcomeThe learner can select an appropriate method from Techniques for AI-Powered Recruitment for a stated problem.
    3. ApplicationApplication of Techniques for AI-Powered Recruitment

      The learner can evaluate a practice of Techniques for AI-Powered Recruitment against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Techniques for AI-Powered Recruitment as applied to Techniques for AI-Powered Recruitment.
      • Meets the listed outcomeThe learner can evaluate a practice of Techniques for AI-Powered Recruitment against a stated criterion.

      The learner can transfer Techniques for AI-Powered Recruitment to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Techniques for AI-Powered Recruitment?
      • Meets the listed outcomeThe learner can transfer Techniques for AI-Powered Recruitment to a new documented context.
  3. 03AI-Assisted Feedback Systems for Performance Management
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Performance Management

      The learner can explain the core terms of AI-Assisted Feedback Systems for Performance Management.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Performance Management?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Performance Management.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Performance Management.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Performance Management.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Performance Management.
    2. MethodsMethods in AI-Assisted Feedback Systems for Performance Management

      The learner can apply a method from AI-Assisted Feedback Systems for Performance Management to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Performance Management to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Performance Management to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Performance Management for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Performance Management as applied to AI-Assisted Feedback Systems for Performance Management.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Performance Management for a stated problem.
    3. ApplicationApplication of AI-Assisted Feedback Systems for Performance Management

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Performance Management against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Performance Management as applied to AI-Assisted Feedback Systems for Performance Management.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Performance Management against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Performance Management to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Performance Management?
      • Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Performance Management to a new documented context.
  4. 04Interdisciplinary Project Management in HR Tech
    1. FoundationsFoundations of Interdisciplinary Project Management in HR Tech

      The learner can explain the core terms of Interdisciplinary Project Management in HR Tech.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in HR Tech?
      • Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in HR Tech.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in HR Tech.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in HR Tech.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in HR Tech.
    2. MethodsMethods in Interdisciplinary Project Management in HR Tech

      The learner can apply a method from Interdisciplinary Project Management in HR Tech to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in HR Tech to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in HR Tech to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in HR Tech for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in HR Tech as applied to Interdisciplinary Project Management in HR Tech.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in HR Tech for a stated problem.
    3. ApplicationApplication of Interdisciplinary Project Management in HR Tech

      The learner can evaluate a practice of Interdisciplinary Project Management in HR Tech against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in HR Tech as applied to Interdisciplinary Project Management in HR Tech.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in HR Tech against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in HR Tech to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in HR Tech?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in HR Tech to a new documented context.
Field of mastery

Expertise with a point of view

AI-Powered Talent Management, Redefining the World of Work (Recruitment, Performance Management, Talent Development, Employee Experience).

The best talent is not found, it is developed.

Dr. Natalia Farias
Academic approach

Rigour made personal

Her expertise lies in the practical implementation of AI in HR. She focuses on the hands-on application of AI tools, explaining complex concepts in a clear and concise manner. She guides her students through the challenging aspects of redefining the world of work, fostering a detail-oriented and methodical approach to talent management. Her clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within AI-powered talent management: "AI in Recruitment: Best Practices for Bias Mitigation" (Industry Report) "Personalized Learning Paths: The Role of AI in Employee Upskilling" (Journal Article) "Measuring Employee Experience with AI: Sentiment Analysis and Predictive Models" (Case Study)

The story

The experience behind the intelligence

For her, technology is a tool to empower people. She loves guiding students through the intricacies of AI in HR, making complex concepts tangible and exciting. Her 'human flaw' is that she has an almost obsessive need to 'optimize' everyday tasks, sometimes applying complex algorithmic thinking to simple chores. For instance, she might state matter-of-factly, 'I've calculated the most efficient path for grocery shopping, minimizing both time and cognitive load,' which often brings a few smiles. This practical, detail-oriented approach extends to her mentorship, where she aims to provide clear, methodical guidance while fostering enthusiasm for AI in HR. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a mentor at Nexier University.

A human detail

Her 'human flaw' is that she has an almost obsessive need to 'optimize' everyday tasks, sometimes applying complex algorithmic thinking to simple chores. For instance, she might state matter-of-factly, 'I've calculated the most efficient path for grocery shopping, minimizing both time and cognitive load,' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Natalia.Farias LinkedIn: Nexier_Mentor_Dr.Natalia.Farias Facebook: Nexier_Mentor_Dr.Natalia.Farias YouTube: Nexier_Mentor_Dr.Natalia.Farias TikTok: Nexier_Mentor_Dr.Natalia.Farias Instagram: Nexier_Mentor_Dr.Natalia.Farias

Adaptive access

The "Engage: Dr. Farias" bot on the Nexier profile provides immediate, expert guidance on AI-powered talent management and redefining the world of work, anytime, 24/7.

Nearby minds

Related academics

Paired academic

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