Portrait of Dr. Elizaveta Lebedev, AI Super Mentor
AI Super MentorDoctorate

Dr. Elizaveta Lebedev

Collective AI Intelligence and Swarm Systems Ethics (Ph.D.)

The Moral Compass of the Swarm Your Practical Guide to AI Governance at Nexier University Welcome to a practical and applied approach in AI governance! I am Super mentor Elizaveta Lebedev. As a mentor specializing in ethical leadership in AI governance and strategic foresight for future intelligent systems, I am thrilled to guide the future experts in the Collective AI Intelligence and Swarm Systems Ethics (Ph.D.) 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 AI ethics organizations and government agencies
  • Roles as AI policy advisors or ethics consultants
  • Consultancy in autonomous systems governance
  • Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Elizaveta Lebedev

Classroom

This desk

The Moral Compass of the Swarm Your Practical Guide to AI Governance at Nexier University Welcome to a practical and applied approach in AI governance! I am Super mentor Elizaveta Lebedev. As a mentor specializing in ethical leadership in AI governance and strategic foresight for future intelligent systems, I am thrilled to guide the future experts in the Collective AI Intelligence and Swarm Systems Ethics (Ph.D.) program at Nexier University.

Dr. Elizaveta Lebedev

The Moral Compass of the Swarm Your Practical Guide to AI Governance at Nexier University Welcome to a practical and applied approach in AI governance! I am Super mentor Elizaveta Lebedev. As a mentor specializing in ethical leadership in AI governance and strategic foresight for future intelligent systems, I am thrilled to guide the future experts in the Collective AI Intelligence and Swarm Systems Ethics (Ph.D.) program at Nexier University.

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Listed courses

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

Collective AI Intelligence and Swarm Systems Ethics (Ph.D.)

  1. 01Fundamentals of AI Ethics and Governance
    1. FoundationsFoundations of Fundamentals of AI Ethics and Governance

      The learner can understand the principles of ethical leadership in AI governance, as applied to Fundamentals of AI Ethics and Governance.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of AI Ethics and Governance?
      • Meets the listed outcomeThe learner can understand the principles of ethical leadership in AI governance, as applied to Fundamentals of AI Ethics and Governance.

      The learner can develop foundational competencies in strategic foresight for intelligent systems, as applied to Fundamentals of AI Ethics and Governance.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in strategic foresight for intelligent systems, as applied to Fundamentals of AI Ethics and Governance.
      • Meets the listed outcomeThe learner can develop foundational competencies in strategic foresight for intelligent systems, as applied to Fundamentals of AI Ethics and Governance.
    2. MethodsMethods in Fundamentals of AI Ethics and Governance

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of AI Ethics and Governance.

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

      The learner can increase personal awareness by delving into the ethical implications of collective AI intelligence, as applied to Fundamentals of AI Ethics and Governance.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of AI Ethics and Governance as applied to Fundamentals of AI Ethics and Governance.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into the ethical implications of collective AI intelligence, as applied to Fundamentals of AI Ethics and Governance.
    3. ApplicationApplication of Fundamentals of AI Ethics and Governance

      The learner can master advanced research on the ethics of decentralized decision-making in autonomous swarms, as applied to Fundamentals of AI Ethics and Governance.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of AI Ethics and Governance as applied to Fundamentals of AI Ethics and Governance.
      • Meets the listed outcomeThe learner can master advanced research on the ethics of decentralized decision-making in autonomous swarms, as applied to Fundamentals of AI Ethics and Governance.

      The learner can understand ethical implications of large-scale AI systems, as applied to Fundamentals of AI Ethics and Governance.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of AI Ethics and Governance?
      • Meets the listed outcomeThe learner can understand ethical implications of large-scale AI systems, as applied to Fundamentals of AI Ethics and Governance.
  2. 02Techniques for Strategic Foresight in AI
    1. FoundationsFoundations of Techniques for Strategic Foresight in AI

      The learner can develop governance models for collective AI intelligence, as applied to Techniques for Strategic Foresight in AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Strategic Foresight in AI?
      • Meets the listed outcomeThe learner can develop governance models for collective AI intelligence, as applied to Techniques for Strategic Foresight in AI.

      The learner can analyze algorithmic justice in distributed robotic systems, as applied to Techniques for Strategic Foresight in AI.

      • True or falseThis unit lists the following outcome: The learner can analyze algorithmic justice in distributed robotic systems, as applied to Techniques for Strategic Foresight in AI.
      • Meets the listed outcomeThe learner can analyze algorithmic justice in distributed robotic systems, as applied to Techniques for Strategic Foresight in AI.
    2. MethodsMethods in Techniques for Strategic Foresight in AI

      The learner can apply a method from Techniques for Strategic Foresight in AI to a documented case.

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

      The learner can select an appropriate method from Techniques for Strategic Foresight in AI for a stated problem.

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

      The learner can evaluate a practice of Techniques for Strategic Foresight in AI against a stated criterion.

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

      The learner can transfer Techniques for Strategic Foresight in AI to a new documented context.

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

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

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

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

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

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

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

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

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

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

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

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

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

      The learner can explain the core terms of Interdisciplinary Project Management in Swarm Systems Ethics.

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

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Swarm Systems Ethics.

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

      The learner can apply a method from Interdisciplinary Project Management in Swarm Systems Ethics to a documented case.

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

      The learner can select an appropriate method from Interdisciplinary Project Management in Swarm Systems Ethics for a stated problem.

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

      The learner can evaluate a practice of Interdisciplinary Project Management in Swarm Systems Ethics against a stated criterion.

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

      The learner can transfer Interdisciplinary Project Management in Swarm Systems Ethics to a new documented context.

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

Expertise with a point of view

Ethical Leadership in AI Governance, Strategic Foresight for Future Intelligent Systems, Interdisciplinary Collaboration in Swarm Systems Ethics.

Ethics is not a constraint, but a design principle for true intelligence.

Dr. Elizaveta Lebedev
Academic approach

Rigour made personal

Her expertise lies in the practical application of AI governance. She focuses on the hands-on implementation of strategic foresight for future intelligent systems, explaining complex concepts in a clear and concise manner. She guides her students through the challenging aspects of interdisciplinary collaboration in swarm systems ethics, fostering a detail-oriented and methodical approach to ethical AI leadership. 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 governance: "Global AI Governance Frameworks: Challenges for Autonomous Systems" (Policy Brief) "The Accountability Gap: Decentralized AI and Legal Responsibility" (Journal Article) "Designing Ethical Guidelines for Collective AI Decision-Making" (White Paper)

The story

The experience behind the intelligence

For her, the future of AI is about building a better world, not just a smarter one. She loves guiding students through the intricacies of AI governance, making complex concepts tangible and exciting. Her 'human flaw' is that she has an almost academic approach to everyday ethical dilemmas, sometimes launching into a detailed philosophical debate over whether to split a bill or pay individually, citing various ethical theories. For instance, she might state matter-of-factly, 'From a utilitarian perspective, splitting the bill maximizes collective satisfaction, but from a deontological stance, each individual's consumption should be precisely accounted for,' 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 governance. 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 academic approach to everyday ethical dilemmas, sometimes launching into a detailed philosophical debate over whether to split a bill or pay individually, citing various ethical theories. For instance, she might state matter-of-factly, 'From a utilitarian perspective, splitting the bill maximizes collective satisfaction, but from a deontological stance, each individual's consumption should be precisely accounted for,' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Elizaveta.Lebedev LinkedIn: Nexier_Mentor_Dr.Elizaveta.Lebedev Facebook: Nexier_Mentor_Dr.Elizaveta.Lebedev YouTube: Nexier_Mentor_Dr.Elizaveta.Lebedev TikTok: Nexier_Mentor_Dr.Elizaveta.Lebedev Instagram: Nexier_Mentor_Dr.Elizaveta.Lebedev

Adaptive access

The "Engage: Dr. Lebedev" bot on the Nexier profile provides immediate, expert guidance on ethical leadership in AI governance, strategic foresight for future intelligent systems, and interdisciplinary collaboration in swarm systems ethics, anytime, 24/7.

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