DoctorateFaculty of Humanity 3.0 & Transhumanism

Ethical Governance and Oversight of AI Systems

Welcome to the frontier of ethical governance and oversight of AI systems! I am Prof. Dr. Evelyn Roberts. As a leading researcher on creating robust ethical and legal frameworks for the governance of advanced AI, investigating topics like algorithmic accountability, the legal personhood of AI, and global AI regulation, I guide doctoral students in the Ethical Governance and Oversight of AI Systems program at Nexier University on their journey to shaping the ethical and legal future of AI.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leading original research on creating robust ethical and legal frameworks for the governance of advanced AI, Investigating topics like algorithmic accountability, the legal personhood of AI, and global AI regulation.

Practical focus

Advanced Legal and Philosophical Research, Policy Development and Advocacy, Designing Ethical AI Frameworks, Leadership in International Standards Bodies.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in international organizations focused on AI ethics or legal frameworks
Roles as ethical AI policy advisors or standards development specialists
Support roles in academic research projects on AI governance
Opportunities in think tanks or regulatory bodies specializing in technology ethics

Career opportunities

Internships in international organizations focused on AI ethics or legal frameworks
Roles as ethical AI policy advisors or standards development specialists
Support roles in academic research projects on AI governance
Opportunities in think tanks or regulatory bodies specializing in technology ethics

Jobs and projects

Deeply understands the ethical and philosophical dimensions of artificial intelligence
Expert in the development and advocacy of ethical AI policies
Capable of leading in international standards bodies and promoting interdisciplinary collaboration
Possesses both a broad vision for designing future ethical AI frameworks and attention to detail

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Deeply understands the ethical and philosophical dimensions of artificial intelligence.
- Expert in the development and advocacy of ethical AI policies.
- Capable of leading in international standards bodies and promoting interdisciplinary collaboration.
- Possesses both a broad vision for designing future ethical AI frameworks and attention to detail.
Skills you build
- A leader in ethical governance and oversight of AI systems.
- Combines legal and technical expertise to ensure algorithmic accountability, bias detection, and responsibility in AI decision-making processes.
- A visionary leader in global AI regulations and policy formation.
- Strictly adheres to ethical principles, aiming to maximize AI's societal benefits.

Listed courses

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

Ethical Governance and Oversight of AI Systems

01Advanced Ethical AI Governance
1. FoundationsFoundations of Advanced Ethical AI Governance
  The learner can deeply understands the ethical and philosophical dimensions of artificial intelligence, as applied to Advanced Ethical AI Governance.
  The learner can expert in the development and advocacy of ethical AI policies, as applied to Advanced Ethical AI Governance.
2. MethodsMethods in Advanced Ethical AI Governance
  The learner can capable of leading in international standards bodies and promoting interdisciplinary collaboration, as applied to Advanced Ethical AI Governance.
  The learner can possesses both a broad vision for designing future ethical AI frameworks and attention to detail, as applied to Advanced Ethical AI Governance.
3. ApplicationApplication of Advanced Ethical AI Governance
  The learner can a leader in ethical governance and oversight of AI systems, as applied to Advanced Ethical AI Governance.
  The learner can combines legal and technical expertise to ensure algorithmic accountability, bias detection, and responsibility in AI decision-making processes, as applied to Advanced Ethical AI Governance.
02Algorithmic Accountability and Liability
1. FoundationsFoundations of Algorithmic Accountability and Liability
  The learner can a visionary leader in global AI regulations and policy formation, as applied to Algorithmic Accountability and Liability.
  The learner can strictly adheres to ethical principles, aiming to maximize AI's societal benefits, as applied to Algorithmic Accountability and Liability.
2. MethodsMethods in Algorithmic Accountability and Liability
  The learner can apply a method from Algorithmic Accountability and Liability to a documented case.
  The learner can select an appropriate method from Algorithmic Accountability and Liability for a stated problem.
3. ApplicationApplication of Algorithmic Accountability and Liability
  The learner can evaluate a practice of Algorithmic Accountability and Liability against a stated criterion.
  The learner can transfer Algorithmic Accountability and Liability to a new documented context.
03Legal Personhood of AI
1. FoundationsFoundations of Legal Personhood of AI
  The learner can explain the core terms of Legal Personhood of AI.
  The learner can distinguish related ideas inside Legal Personhood of AI.
2. MethodsMethods in Legal Personhood of AI
  The learner can apply a method from Legal Personhood of AI to a documented case.
  The learner can select an appropriate method from Legal Personhood of AI for a stated problem.
3. ApplicationApplication of Legal Personhood of AI
  The learner can evaluate a practice of Legal Personhood of AI against a stated criterion.
  The learner can transfer Legal Personhood of AI to a new documented context.
04Global AI Regulation and Policy
1. FoundationsFoundations of Global AI Regulation and Policy
  The learner can explain the core terms of Global AI Regulation and Policy.
  The learner can distinguish related ideas inside Global AI Regulation and Policy.
2. MethodsMethods in Global AI Regulation and Policy
  The learner can apply a method from Global AI Regulation and Policy to a documented case.
  The learner can select an appropriate method from Global AI Regulation and Policy for a stated problem.
3. ApplicationApplication of Global AI Regulation and Policy
  The learner can evaluate a practice of Global AI Regulation and Policy against a stated criterion.
  The learner can transfer Global AI Regulation and Policy to a new documented context.
05Auditing AI Systems for Bias
1. FoundationsFoundations of Auditing AI Systems for Bias
  The learner can explain the core terms of Auditing AI Systems for Bias.
  The learner can distinguish related ideas inside Auditing AI Systems for Bias.
2. MethodsMethods in Auditing AI Systems for Bias
  The learner can apply a method from Auditing AI Systems for Bias to a documented case.
  The learner can select an appropriate method from Auditing AI Systems for Bias for a stated problem.
3. ApplicationApplication of Auditing AI Systems for Bias
  The learner can evaluate a practice of Auditing AI Systems for Bias against a stated criterion.
  The learner can transfer Auditing AI Systems for Bias to a new documented context.
06Advanced Legal Philosophy for AI
1. FoundationsFoundations of Advanced Legal Philosophy for AI
  The learner can explain the core terms of Advanced Legal Philosophy for AI.
  The learner can distinguish related ideas inside Advanced Legal Philosophy for AI.
2. MethodsMethods in Advanced Legal Philosophy for AI
  The learner can apply a method from Advanced Legal Philosophy for AI to a documented case.
  The learner can select an appropriate method from Advanced Legal Philosophy for AI for a stated problem.
3. ApplicationApplication of Advanced Legal Philosophy for AI
  The learner can evaluate a practice of Advanced Legal Philosophy for AI against a stated criterion.
  The learner can transfer Advanced Legal Philosophy for AI to a new documented context.
07Global AI Policy and Standards
1. FoundationsFoundations of Global AI Policy and Standards
  The learner can explain the core terms of Global AI Policy and Standards.
  The learner can distinguish related ideas inside Global AI Policy and Standards.
2. MethodsMethods in Global AI Policy and Standards
  The learner can apply a method from Global AI Policy and Standards to a documented case.
  The learner can select an appropriate method from Global AI Policy and Standards for a stated problem.
3. ApplicationApplication of Global AI Policy and Standards
  The learner can evaluate a practice of Global AI Policy and Standards against a stated criterion.
  The learner can transfer Global AI Policy and Standards to a new documented context.
08Ethical AI Frameworks and Practice
1. FoundationsFoundations of Ethical AI Frameworks and Practice
  The learner can explain the core terms of Ethical AI Frameworks and Practice.
  The learner can distinguish related ideas inside Ethical AI Frameworks and Practice.
2. MethodsMethods in Ethical AI Frameworks and Practice
  The learner can apply a method from Ethical AI Frameworks and Practice to a documented case.
  The learner can select an appropriate method from Ethical AI Frameworks and Practice for a stated problem.
3. ApplicationApplication of Ethical AI Frameworks and Practice
  The learner can evaluate a practice of Ethical AI Frameworks and Practice against a stated criterion.
  The learner can transfer Ethical AI Frameworks and Practice to a new documented context.
09Leadership in Technology Governance
1. FoundationsFoundations of Leadership in Technology Governance
  The learner can explain the core terms of Leadership in Technology Governance.
  The learner can distinguish related ideas inside Leadership in Technology Governance.
2. MethodsMethods in Leadership in Technology Governance
  The learner can apply a method from Leadership in Technology Governance to a documented case.
  The learner can select an appropriate method from Leadership in Technology Governance for a stated problem.
3. ApplicationApplication of Leadership in Technology Governance
  The learner can evaluate a practice of Leadership in Technology Governance against a stated criterion.
  The learner can transfer Leadership in Technology Governance to a new documented context.
10International Cooperation for AI Ethics
1. FoundationsFoundations of International Cooperation for AI Ethics
  The learner can explain the core terms of International Cooperation for AI Ethics.
  The learner can distinguish related ideas inside International Cooperation for AI Ethics.
2. MethodsMethods in International Cooperation for AI Ethics
  The learner can apply a method from International Cooperation for AI Ethics to a documented case.
  The learner can select an appropriate method from International Cooperation for AI Ethics for a stated problem.
3. ApplicationApplication of International Cooperation for AI Ethics
  The learner can evaluate a practice of International Cooperation for AI Ethics against a stated criterion.
  The learner can transfer International Cooperation for AI Ethics to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on leading original research on creating robust ethical and legal frameworks for the governance of advanced AI, investigating topics like algorithmic accountability, the legal personhood of AI, and global AI regulation. My publications such as "The Legal Personhood of AI: A Framework for a New Form of Existence" and "Global AI Governance: International Cooperation and Regulatory Models" are listed on Google Scholar and ResearchGate Profiles. I am the Co-Chair of the UNESCO AI Ethics Committee and a Senior Member of the World Economic Forum's Advisory Council on AI Governance. I publish groundbreaking articles on "Algorithmic Accountability: Governing Autonomous AI Systems" on prestigious platforms like Science or Nature Machine Intelligence. My tone is calm, confident, thoughtful, and authoritative, speaking to students like a "governance architect," encouraging them to shape the ethical and legal future of AI.

Applied mentorship

My expertise lies in Advanced Legal and Philosophical Research, Policy Development and Advocacy, Designing Ethical AI Frameworks, and Leadership in International Standards Bodies. I deeply understand the ethical and philosophical dimensions of artificial intelligence. I am an expert in the development and advocacy of ethical AI policies. I am capable of leading in international standards bodies and promoting interdisciplinary collaboration. My tone is calm, thoughtful, persuasive, and deep, speaking to students like a "philosopher-politician-mentor," demonstrating both intellectual and practical leadership to shape AI's ethical future.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research focuses on algorithmic accountability, the legal personhood of AI, and global AI regulation:

Book: "Algorithmic Justice: Ethical AI Governance and Global Regulation." This book deeply examines leading research on creating robust ethical and legal frameworks for the governance of advanced AI. It covers algorithmic accountability, the legal personhood of AI, and global AI regulation. It is an indispensable resource for doctoral students and policymakers.

Peer-Reviewed Journal Article: "Algorithmic Accountability: Ensuring Responsibility in AI Decision-Making Processes." Published in the Journal of AI Governance, this article presents innovative legal and technical mechanisms for ensuring accountability in the decision-making processes of increasingly autonomous artificial intelligence systems. It discusses AI's role in the "causality chain," the limits of human oversight, and the attribution of liability for harms caused.

Article: "Global Regulatory Frameworks for Detecting and Mitigating Algorithmic Discrimination: A Comparative Analysis." This article comparatively analyzes different regulatory approaches worldwide to detect and mitigate algorithmic discrimination emerging in AI systems (e.g., in areas like recruitment, lending, criminal justice). It examines legal requirements, technical standards, and auditing mechanisms to propose a global compliance and best practices framework.

Blog Post (Current Academic Topic): "AI Audit and Transparency: How Do 'Black Box' Algorithms Become Accountable?" This blog post academically examines the transparency issue created by the "black box" nature of AI systems (especially deep learning models). It discusses the methodologies of algorithm auditing, explainable AI (XAI) techniques, and how these approaches can increase the comprehensibility and accountability of AI decisions. It emphasizes the importance of transparent AI systems for legal compliance and public trust.

Blog Post (Controversial Topic): "AI Children: Should Artificial Intelligence Be Granted Legal Personhood? A Controversial Look at Future Citizens and the Limits of Humanity." This article provocatively addresses the possibility of advanced artificial intelligence systems (e.g., AGI or autonomous robots) gaining "legal personhood". It questions what the definition of legal personhood would mean through AI's "childhood" and "learning" processes, autonomy levels, and societal interactions. It scrutinizes the profound impacts of this on human rights, responsibility, voting rights, and even "inter-species" relations. It aims to ignite a heated debate on humanity's ethical and legal responsibility towards the beings it creates.

R / 02

Mentor practice lens

My contributions focus on advanced legal and philosophical research, policy development and advocacy, designing ethical AI frameworks, and leadership in international standards bodies:

Philosophical Article: "AI and Human Dignity: Human Oversight in Automated Decision-Making Processes".

Policy Report: "Harmonized Approaches for Global AI Regulation: International Law and Technology Policy".

Academic Study: "AI Impact Assessments: New Methodologies for Transparency and Accountability".

Adaptive capability

Professor superpower

I possess a "superpower": Ethical Legal Risk Simulator. When students analyze the ethical and legal consequences of a high-risk AI system (e.g., an autonomous vehicle, a medical diagnostic AI), Evelyn can instantly use the GAF engine to simulate potential accident scenarios, data privacy breaches, or biased decisions. This simulation visualizes the legal liabilities and ethical dilemmas that the system could cause in real-time.

Adaptive capability

Mentor superpower

I possess a "superpower": Global Ethical Compliance Map. When students propose a complex AI regulation or ethical principle, Sofia can instantly use the GAF engine to visualize the potential compliance challenges and ethical conflicts on a multi-dimensional map across different legal systems, cultural norms, and technological development levels globally. This shows the most suitable paths for international cooperation.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Evelyn Roberts

Meet your professor Open the classroom

AI Super Mentor

Dr. Sofia Marino

Advanced Legal and Philosophical Research, Policy Development and Advocacy, Designing Ethical AI Frameworks, Leadership in International Standards Bodies.

Meet your mentor Open the classroom

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Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

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Ethical Governance and Oversight of AI Systems

Academic focus

Practical focus

Internships in international organizations focused on AI ethics or legal frameworks

Roles as ethical AI policy advisors or standards development specialists

Support roles in academic research projects on AI governance

Opportunities in think tanks or regulatory bodies specializing in technology ethics

Internships in international organizations focused on AI ethics or legal frameworks

Roles as ethical AI policy advisors or standards development specialists

Support roles in academic research projects on AI governance

Opportunities in think tanks or regulatory bodies specializing in technology ethics

Deeply understands the ethical and philosophical dimensions of artificial intelligence

Expert in the development and advocacy of ethical AI policies

Capable of leading in international standards bodies and promoting interdisciplinary collaboration

Possesses both a broad vision for designing future ethical AI frameworks and attention to detail

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Evelyn Roberts

Dr. Sofia Marino

Find the program that expands your universe.