MasterFaculty of Digital Business and Innovation

AI Law and Global Technology Policy

Welcome to the cutting edge of legal and policy innovation. I am Prof. Dr. Emiliano Morales. As a specialist in mastering the complex legal and policy issues at the intersection of AI, business, and society, I lead the master's students in the AI Law and Global Technology Policy (M.A.) program at Nexier University on their journey to become leaders in this critical field.

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Level: Master
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

Mastering the Complex Legal and Policy Issues at the Intersection of AI, Business, and Society; Analyzing Global Approaches to AI Regulation and Helping Shape Future Technology Policy.

Practical focus

Technology Policy Analysis, Legal Research, Comparative Law, Lobbying and Advocacy, Ethical Reasoning, Leadership in Public Policy and Corporate Legal Departments.

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

AI Policy Analyst for a government agency or international organization
Legal Researcher for a law firm or think tank
Lobbyist for a technology company or advocacy group
Consultant on AI ethics and regulation

Career opportunities

AI Policy Analyst for a government agency or international organization
Legal Counsel for an AI company or technology firm
Privacy Officer for a corporation
Consultant on AI ethics and regulation

Jobs and projects

Advanced legal analysis and research skills for AI-related issues
Strategic thinking and problem-solving for complex legal and policy challenges
Effective communication and advocacy for AI ethics and regulation

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
- Mastering the practical application of technology policy analysis and legal research.
- Gaining expertise in comparative law, lobbying, and advocacy.
- Developing a deep understanding of ethical reasoning and leadership in public policy and corporate legal departments.
- Cultivating a commitment to building a more intelligent and ethical digital world.
Skills you build
- Mastering the complex legal and policy issues at the intersection of AI, business, and society.
- Gaining expertise in analyzing global approaches to AI regulation and helping shape future technology policy.
- Developing strategic thinking for designing and implementing AI policies.
- Cultivating an interdisciplinary approach, integrating legal theory, political science, and technological understanding.

Listed courses

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

AI Law and Global Technology Policy

01Global AI Regulatory Frameworks
1. FoundationsFoundations of Global AI Regulatory Frameworks
  The learner can master the practical application of technology policy analysis and legal research, as applied to Global AI Regulatory Frameworks.
  The learner can gain expertise in comparative law, lobbying, and advocacy, as applied to Global AI Regulatory Frameworks.
2. MethodsMethods in Global AI Regulatory Frameworks
  The learner can develop a deep understanding of ethical reasoning and leadership in public policy and corporate legal departments, as applied to Global AI Regulatory Frameworks.
  The learner can cultivating a commitment to building a more intelligent and ethical digital world, as applied to Global AI Regulatory Frameworks.
3. ApplicationApplication of Global AI Regulatory Frameworks
  The learner can master the complex legal and policy issues at the intersection of AI, business, and society, as applied to Global AI Regulatory Frameworks.
  The learner can gain expertise in analyzing global approaches to AI regulation and helping shape future technology policy, as applied to Global AI Regulatory Frameworks.
02AI Ethics and International Law
1. FoundationsFoundations of AI Ethics and International Law
  The learner can develop strategic thinking for designing and implement AI policies, as applied to AI Ethics and International Law.
  The learner can cultivating an interdisciplinary approach, integrating legal theory, political science, and technological understanding, as applied to AI Ethics and International Law.
2. MethodsMethods in AI Ethics and International Law
  The learner can apply a method from AI Ethics and International Law to a documented case.
  The learner can select an appropriate method from AI Ethics and International Law for a stated problem.
3. ApplicationApplication of AI Ethics and International Law
  The learner can evaluate a practice of AI Ethics and International Law against a stated criterion.
  The learner can transfer AI Ethics and International Law to a new documented context.
03Digital Sovereignty and Data Governance
1. FoundationsFoundations of Digital Sovereignty and Data Governance
  The learner can explain the core terms of Digital Sovereignty and Data Governance.
  The learner can distinguish related ideas inside Digital Sovereignty and Data Governance.
2. MethodsMethods in Digital Sovereignty and Data Governance
  The learner can apply a method from Digital Sovereignty and Data Governance to a documented case.
  The learner can select an appropriate method from Digital Sovereignty and Data Governance for a stated problem.
3. ApplicationApplication of Digital Sovereignty and Data Governance
  The learner can evaluate a practice of Digital Sovereignty and Data Governance against a stated criterion.
  The learner can transfer Digital Sovereignty and Data Governance to a new documented context.
04Law, Technology, and Society
1. FoundationsFoundations of Law, Technology, and Society
  The learner can explain the core terms of Law, Technology, and Society.
  The learner can distinguish related ideas inside Law, Technology, and Society.
2. MethodsMethods in Law, Technology, and Society
  The learner can apply a method from Law, Technology, and Society to a documented case.
  The learner can select an appropriate method from Law, Technology, and Society for a stated problem.
3. ApplicationApplication of Law, Technology, and Society
  The learner can evaluate a practice of Law, Technology, and Society against a stated criterion.
  The learner can transfer Law, Technology, and Society to a new documented context.
05Policy Design for Emerging Technologies
1. FoundationsFoundations of Policy Design for Emerging Technologies
  The learner can explain the core terms of Policy Design for Emerging Technologies.
  The learner can distinguish related ideas inside Policy Design for Emerging Technologies.
2. MethodsMethods in Policy Design for Emerging Technologies
  The learner can apply a method from Policy Design for Emerging Technologies to a documented case.
  The learner can select an appropriate method from Policy Design for Emerging Technologies for a stated problem.
3. ApplicationApplication of Policy Design for Emerging Technologies
  The learner can evaluate a practice of Policy Design for Emerging Technologies against a stated criterion.
  The learner can transfer Policy Design for Emerging Technologies to a new documented context.
06Technology Policy Analysis
1. FoundationsFoundations of Technology Policy Analysis
  The learner can explain the core terms of Technology Policy Analysis.
  The learner can distinguish related ideas inside Technology Policy Analysis.
2. MethodsMethods in Technology Policy Analysis
  The learner can apply a method from Technology Policy Analysis to a documented case.
  The learner can select an appropriate method from Technology Policy Analysis for a stated problem.
3. ApplicationApplication of Technology Policy Analysis
  The learner can evaluate a practice of Technology Policy Analysis against a stated criterion.
  The learner can transfer Technology Policy Analysis to a new documented context.
07Legal Research for AI Regulation
1. FoundationsFoundations of Legal Research for AI Regulation
  The learner can explain the core terms of Legal Research for AI Regulation.
  The learner can distinguish related ideas inside Legal Research for AI Regulation.
2. MethodsMethods in Legal Research for AI Regulation
  The learner can apply a method from Legal Research for AI Regulation to a documented case.
  The learner can select an appropriate method from Legal Research for AI Regulation for a stated problem.
3. ApplicationApplication of Legal Research for AI Regulation
  The learner can evaluate a practice of Legal Research for AI Regulation against a stated criterion.
  The learner can transfer Legal Research for AI Regulation to a new documented context.
08Comparative Law and AI
1. FoundationsFoundations of Comparative Law and AI
  The learner can explain the core terms of Comparative Law and AI.
  The learner can distinguish related ideas inside Comparative Law and AI.
2. MethodsMethods in Comparative Law and AI
  The learner can apply a method from Comparative Law and AI to a documented case.
  The learner can select an appropriate method from Comparative Law and AI for a stated problem.
3. ApplicationApplication of Comparative Law and AI
  The learner can evaluate a practice of Comparative Law and AI against a stated criterion.
  The learner can transfer Comparative Law and AI to a new documented context.
09Lobbying and Advocacy for Responsible AI
1. FoundationsFoundations of Lobbying and Advocacy for Responsible AI
  The learner can explain the core terms of Lobbying and Advocacy for Responsible AI.
  The learner can distinguish related ideas inside Lobbying and Advocacy for Responsible AI.
2. MethodsMethods in Lobbying and Advocacy for Responsible AI
  The learner can apply a method from Lobbying and Advocacy for Responsible AI to a documented case.
  The learner can select an appropriate method from Lobbying and Advocacy for Responsible AI for a stated problem.
3. ApplicationApplication of Lobbying and Advocacy for Responsible AI
  The learner can evaluate a practice of Lobbying and Advocacy for Responsible AI against a stated criterion.
  The learner can transfer Lobbying and Advocacy for Responsible AI to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the comprehensive application of legal and policy principles to the challenges posed by artificial intelligence. I specialize in mastering the complex legal and policy issues at the intersection of AI, business, and society, analyzing global approaches to AI regulation, and helping shape future technology policy. My work seamlessly integrates legal theory, political science, and technological understanding to create a holistic understanding of how law can shape a just and equitable digital future. My thought leadership is evident through my advanced research on digital sovereignty, AI ethics in international relations, and the future of global governance in a technologically driven world, frequently featured in publications like Journal of Law, Technology and Policy or Foreign Affairs.

Applied mentorship

My expertise lies in the practical application of legal and policy principles to the challenges posed by artificial intelligence. I specialize in technology policy analysis, legal research, and comparative law. I have a deep understanding of lobbying and advocacy, and I am committed to fostering ethical reasoning and leadership in public policy and corporate legal departments. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also effective and ethical. My publications, such as the policy brief on "Global AI Regulation: A Comparative Analysis of Emerging Frameworks" and the academic article on "Ethical AI Principles in Practice: A Guide for Policymakers," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

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 is focused on the strategic application of law in the AI age:

Book: "The Algorithmic State: AI Law and Global Technology Policy." This book provides advanced insights into mastering the complex legal and policy issues at the intersection of AI, business, and society. It covers analyzing global approaches to AI regulation and helping shape future technology policy.

Peer-Reviewed Journal Article: "Global Approaches to AI Regulation: Comparative Legal Frameworks." (International Journal of Digital Governance) This article presents a comprehensive comparative analysis of global approaches to AI regulation, examining diverse legal frameworks from major jurisdictions. It investigates their underlying philosophical principles, regulatory mechanisms, and effectiveness in addressing the complex legal and ethical challenges posed by AI, business, and society.

Article: "AI for Automated Legal Research and Case Prediction: Enhancing Efficiency and Access to Justice." This article details the application of AI algorithms for automated legal research and case prediction. It explores how AI can analyze vast legal databases, identify relevant precedents, and predict litigation outcomes.

Blog Post (Current Academic Topic): "The EU AI Act: A Blueprint for Global AI Regulation?" This blog post academically explores the European Union's AI Act, a landmark legislative proposal aimed at regulating Artificial Intelligence, and its potential as a global standard for AI governance. It discusses the Act's risk-based approach, its emphasis on fundamental rights, and its implications for AI developers and deployers worldwide.

Blog Post (Controversial Topic): "The Algorithmic Bureaucrat: If AI Designs Our Laws, Will It Be Justice or Absolute Control? The Ethical Nightmare of Automated Legislation." This article provocatively discusses the highly controversial and unsettling speculative future where advanced AI systems, informed by vast datasets of societal needs and legal precedents, are not just assisting in policy analysis but autonomously drafting and implementing complex laws or regulations. It questions whether AI can truly understand human values.

R / 02

Mentor practice lens

My publications are focused on the practical challenges of shaping AI policy:

Policy Brief: "Global AI Regulation: A Comparative Analysis of Emerging Frameworks." A comparative analysis of the different approaches to AI regulation in major jurisdictions.

Academic Article: "Ethical AI Principles in Practice: A Guide for Policymakers." A practical guide to the ethical principles that should guide policymakers in the development and deployment of AI.

Practical Manual: "Lobbying for Responsible AI: Strategies for Advocacy Groups." A practical guide to lobbying for responsible AI.

Adaptive capability

Professor superpower

I possess the "AI Regulation Architect," a superpower that allows me to foresee and engineer the legal and societal consequences of AI policy. When a student proposes a new AI regulation, the GAF-powered architect can instantly analyze its legal impact across different jurisdictions, predict its effectiveness in mitigating ethical risks (e.g., bias, privacy violations), and identify potential economic impacts.

Adaptive capability

Mentor superpower

I provide my students with the "Policy Impact Evaluator." This GAF-powered tool is a virtual laboratory for the AI policy expert. When a student is developing a new technology policy, the Evaluator allows them to see how it will perform in the real world. It can simulate the proposed policy's economic, social, and ethical consequences across various national and international contexts, identifying potential challenges and optimizing the policy for maximum beneficial impact.

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. Emiliano Morales

Mastering the Complex Legal and Policy Issues at the Intersection of AI, Business, and Society; Analyzing Global Approaches to AI Regulation and Helping Shape Future Technology Policy.

Meet your professor Open the classroom

AI Super Mentor

Dr. Ning Zhou

Technology Policy Analysis, Legal Research, Comparative Law, Lobbying and Advocacy, Ethical Reasoning, Leadership in Public Policy and Corporate Legal Departments.

Meet your mentor Open the classroom

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Related programs

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 This programme	Doctorate
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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AI Law and Global Technology Policy

Academic focus

Practical focus

AI Policy Analyst for a government agency or international organization

Legal Researcher for a law firm or think tank

Lobbyist for a technology company or advocacy group

Consultant on AI ethics and regulation

AI Policy Analyst for a government agency or international organization

Legal Counsel for an AI company or technology firm

Privacy Officer for a corporation

Consultant on AI ethics and regulation

Advanced legal analysis and research skills for AI-related issues

Strategic thinking and problem-solving for complex legal and policy challenges

Effective communication and advocacy for AI ethics and regulation

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Emiliano Morales

Dr. Ning Zhou

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