BachelorFaculty of Global Politics and Society

AI Governance Models and Global Policy

Welcome to the critical field of AI governance! I am Prof. Dr. Alice Gallo. As a specialist in the complex interplay of artificial intelligence and global policy, I am dedicated to shaping the next generation of leaders in the AI Governance Models and Global Policy (Bachelor's) program at Nexier University.

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Level: Bachelor
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

AI Governance Models, Global Policy, National and International Approaches to Regulating AI, Ethics, Accountability, Economic Impact of AI.

Practical focus

National and International Approaches to Regulating AI, Ethics, Accountability, Economic Impact of AI, Responsible AI Principles, Algorithmic Accountability.

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 Ethics Officer at a technology company
Policy Analyst specializing in technology regulation
Researcher in algorithmic accountability
Consultant on responsible AI implementation

Career opportunities

AI Policy Advisor for government agencies or technology companies
Ethics and Accountability Officer for an AI firm
Researcher in AI Governance and Global Policy
Consultant on the societal impact of artificial intelligence

Jobs and projects

Developing strategic thinking for AI policy and global governance
Enhancing problem-solving through the analysis of complex ethical and economic challenges in AI
Critical thinking for a comprehensive and nuanced understanding of AI 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 technical and ethical dimensions of AI regulation.
- Gaining expertise in algorithmic accountability and responsible AI development.
- Developing practical skills for auditing and assessing AI systems.
- Cultivating a hands-on, problem-solving approach to AI governance.
Skills you build
- Mastering the analysis of complex AI governance models.
- Gaining expertise in the ethical and economic implications of AI regulation.
- Developing strategic thinking for shaping global AI policy.
- Cultivating an interdisciplinary approach, integrating law, policy, and technology.

Listed courses

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

AI Governance Models and Global Policy

01AI Governance Models and Frameworks
1. FoundationsFoundations of AI Governance Models and Frameworks
  The learner can master the technical and ethical dimensions of AI regulation, as applied to AI Governance Models and Frameworks.
  The learner can gain expertise in algorithmic accountability and responsible AI development, as applied to AI Governance Models and Frameworks.
2. MethodsMethods in AI Governance Models and Frameworks
  The learner can develop practical skills for auditing and assess AI systems, as applied to AI Governance Models and Frameworks.
  The learner can cultivating a hands-on, problem-solving approach to AI governance, as applied to AI Governance Models and Frameworks.
3. ApplicationApplication of AI Governance Models and Frameworks
  The learner can master the analysis of complex AI governance models, as applied to AI Governance Models and Frameworks.
  The learner can gain expertise in the ethical and economic implications of AI regulation, as applied to AI Governance Models and Frameworks.
02National and International AI Regulation
1. FoundationsFoundations of National and International AI Regulation
  The learner can develop strategic thinking for shaping global AI policy, as applied to National and International AI Regulation.
  The learner can cultivating an interdisciplinary approach, integrating law, policy, and technology, as applied to National and International AI Regulation.
2. MethodsMethods in National and International AI Regulation
  The learner can apply a method from National and International AI Regulation to a documented case.
  The learner can select an appropriate method from National and International AI Regulation for a stated problem.
3. ApplicationApplication of National and International AI Regulation
  The learner can evaluate a practice of National and International AI Regulation against a stated criterion.
  The learner can transfer National and International AI Regulation to a new documented context.
03Ethical AI and Accountability
1. FoundationsFoundations of Ethical AI and Accountability
  The learner can explain the core terms of Ethical AI and Accountability.
  The learner can distinguish related ideas inside Ethical AI and Accountability.
2. MethodsMethods in Ethical AI and Accountability
  The learner can apply a method from Ethical AI and Accountability to a documented case.
  The learner can select an appropriate method from Ethical AI and Accountability for a stated problem.
3. ApplicationApplication of Ethical AI and Accountability
  The learner can evaluate a practice of Ethical AI and Accountability against a stated criterion.
  The learner can transfer Ethical AI and Accountability to a new documented context.
04Economic Impact of AI Policies
1. FoundationsFoundations of Economic Impact of AI Policies
  The learner can explain the core terms of Economic Impact of AI Policies.
  The learner can distinguish related ideas inside Economic Impact of AI Policies.
2. MethodsMethods in Economic Impact of AI Policies
  The learner can apply a method from Economic Impact of AI Policies to a documented case.
  The learner can select an appropriate method from Economic Impact of AI Policies for a stated problem.
3. ApplicationApplication of Economic Impact of AI Policies
  The learner can evaluate a practice of Economic Impact of AI Policies against a stated criterion.
  The learner can transfer Economic Impact of AI Policies to a new documented context.
05Global Policy and AI Development
1. FoundationsFoundations of Global Policy and AI Development
  The learner can explain the core terms of Global Policy and AI Development.
  The learner can distinguish related ideas inside Global Policy and AI Development.
2. MethodsMethods in Global Policy and AI Development
  The learner can apply a method from Global Policy and AI Development to a documented case.
  The learner can select an appropriate method from Global Policy and AI Development for a stated problem.
3. ApplicationApplication of Global Policy and AI Development
  The learner can evaluate a practice of Global Policy and AI Development against a stated criterion.
  The learner can transfer Global Policy and AI Development to a new documented context.
06Principles of Responsible AI
1. FoundationsFoundations of Principles of Responsible AI
  The learner can explain the core terms of Principles of Responsible AI.
  The learner can distinguish related ideas inside Principles of Responsible AI.
2. MethodsMethods in Principles of Responsible AI
  The learner can apply a method from Principles of Responsible AI to a documented case.
  The learner can select an appropriate method from Principles of Responsible AI for a stated problem.
3. ApplicationApplication of Principles of Responsible AI
  The learner can evaluate a practice of Principles of Responsible AI against a stated criterion.
  The learner can transfer Principles of Responsible AI to a new documented context.
07Algorithmic Accountability and Transparency
1. FoundationsFoundations of Algorithmic Accountability and Transparency
  The learner can explain the core terms of Algorithmic Accountability and Transparency.
  The learner can distinguish related ideas inside Algorithmic Accountability and Transparency.
2. MethodsMethods in Algorithmic Accountability and Transparency
  The learner can apply a method from Algorithmic Accountability and Transparency to a documented case.
  The learner can select an appropriate method from Algorithmic Accountability and Transparency for a stated problem.
3. ApplicationApplication of Algorithmic Accountability and Transparency
  The learner can evaluate a practice of Algorithmic Accountability and Transparency against a stated criterion.
  The learner can transfer Algorithmic Accountability and Transparency to a new documented context.
08Ethical AI by Design
1. FoundationsFoundations of Ethical AI by Design
  The learner can explain the core terms of Ethical AI by Design.
  The learner can distinguish related ideas inside Ethical AI by Design.
2. MethodsMethods in Ethical AI by Design
  The learner can apply a method from Ethical AI by Design to a documented case.
  The learner can select an appropriate method from Ethical AI by Design for a stated problem.
3. ApplicationApplication of Ethical AI by Design
  The learner can evaluate a practice of Ethical AI by Design against a stated criterion.
  The learner can transfer Ethical AI by Design to a new documented context.
09Case Studies in AI Governance
1. FoundationsFoundations of Case Studies in AI Governance
  The learner can explain the core terms of Case Studies in AI Governance.
  The learner can distinguish related ideas inside Case Studies in AI Governance.
2. MethodsMethods in Case Studies in AI Governance
  The learner can apply a method from Case Studies in AI Governance to a documented case.
  The learner can select an appropriate method from Case Studies in AI Governance for a stated problem.
3. ApplicationApplication of Case Studies in AI Governance
  The learner can evaluate a practice of Case Studies in AI Governance against a stated criterion.
  The learner can transfer Case Studies in AI Governance to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the design and implementation of effective and ethical AI governance frameworks. I delve into the various national and international approaches to regulating AI, with a strong emphasis on the ethical, accountability, and economic dimensions of this transformative technology. My work seamlessly integrates law, public policy, and technology to create a holistic understanding of AI's societal impact. I am widely recognized for my contributions, with publications like "The Global AI Regulatory Landscape: A Comparative Analysis" and "Ethical AI Principles in Practice: A Framework for Policy Makers" listed on these platforms. I hold prestigious memberships as an "Honorary Member" of the Global Partnership on Artificial Intelligence (GPAI) and the AI Policy Institute. My thought leadership is evident through my regular insightful articles on shaping the future of AI governance and the societal implications of AI regulation on her LinkedIn profile, with the motto "Governing AI for a Just Future."

Applied mentorship

My expertise lies in the technical and ethical dimensions of AI governance. I focus on translating high-level principles into concrete, actionable guidance for developers and policymakers. My work covers national and international approaches to regulating AI, with a special emphasis on ethics, accountability, and the economic impact of AI. I am passionate about building frameworks for algorithmic accountability and ensuring that AI systems are transparent, fair, and aligned with human values. My publications, such as "The Principles of Responsible AI: A Guide for Developers and Policymakers" and the policy brief on "Algorithmic Accountability Frameworks," are designed to be practical resources for those who are building and governing AI systems.

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 dedicated to building the intellectual foundations for effective AI governance:

Book: "The Algorithmic Constitution: AI Governance Models and Global Policy." This book provides a foundational understanding of AI governance models and global policy. It explores different national and international approaches to regulating AI, focusing on ethics, accountability, and economic impact.

Peer-Reviewed Journal Article: "AI Governance Models and Global Policy." (International Journal of AI Policy) This article presents groundbreaking research on designing the future of artificial intelligence governance. It explores different national and international approaches to regulating AI, focusing on ethics, accountability, and economic impact, providing a comprehensive framework for understanding and shaping global AI policy.

Article: "Comparative Approaches to AI Regulation: Lessons from the EU AI Act, US, and China." This article provides a comparative analysis of different national and regional approaches to AI regulation, including the EU AI Act, US policy initiatives, and China's regulatory landscape. It examines their underlying philosophies, key provisions, and their potential effectiveness in addressing the ethical, economic, and societal challenges posed by AI.

Blog Post (Current Academic Topic): "The Algorithmic Bureaucrat: Designing AI for Public Service and Ethical Governance." This blog post academically explores the increasing role of AI in public sector decision-making and service delivery. It discusses how AI can enhance efficiency and fairness in government processes, while also highlighting the critical need for robust ethical governance frameworks, algorithmic transparency, and accountability mechanisms.

Blog Post (Controversial Topic): "The AI Global Dictator: If Algorithms Define Our Laws, Is Democracy Over? The Ethical Nightmare of Automated Governance." 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, exercise empathy, or resolve conflicting ethical priorities in creating legal frameworks.

R / 02

Mentor practice lens

My publications provide practical guidance for the responsible development of AI:

"The Principles of Responsible AI: A Guide for Developers and Policymakers" (Technical Guide): A hands-on guide to the key principles of responsible AI, with practical advice for implementation.

"International Cooperation in AI Regulation: Challenges and Opportunities" (Research Paper): An analysis of the key challenges and opportunities for international cooperation in the field of AI governance.

"Algorithmic Accountability Frameworks: Ensuring Transparency in AI Decisions" (Policy Brief): A policy brief outlining a practical framework for ensuring that AI systems are transparent and accountable.

Adaptive capability

Professor superpower

I possess the "AI Policy Impact Simulator," a remarkable superpower powered by the GAF engine. This isn't just a predictive model; it's a virtual laboratory for crafting future laws. When a student proposes a new AI regulation, I can instantly simulate its entire lifecycle. The simulator models its journey through legislative bodies, its reception by the public, and its long-term effects on the economy, social equity, and international relations. It can identify potential for regulatory capture, forecast unexpected social shifts, and even suggest more effective, ethically aligned policy alternatives. This provides my students with an unparalleled ability to design AI governance that is not just well-intentioned, but demonstrably effective and just.

Adaptive capability

Mentor superpower

I bring the "Ethical AI Audit Simulator" to my mentorship. This GAF-powered tool is a powerful lens for examining the ethical DNA of any AI system. When a student is analyzing an AI model, the simulator can instantly deconstruct it, revealing its inner workings in a clear, intuitive way. It can trace the lineage of the training data to identify hidden biases, map the decision-making pathways of the algorithm to expose areas of opacity, and even simulate the system's behavior in a wide range of ethical edge cases. This allows students to move beyond abstract principles and engage in a rigorous, evidence-based process of ethical analysis and design. It is a tool for building AI that is not just compliant, but truly conscientious.

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. Alice Gallo

AI Governance Models, Global Policy, National and International Approaches to Regulating AI, Ethics, Accountability, Economic Impact of AI.

Meet your professor Open the classroom

AI Super Mentor

Dr. Si-woo Park

National and International Approaches to Regulating AI, Ethics, Accountability, Economic Impact of AI, Responsible AI Principles, Algorithmic Accountability.

Meet your mentor Open the classroom

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Related programs

Named lists

Named lists for this house

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

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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AI Governance Models and Global Policy

Academic focus

Practical focus

AI Ethics Officer at a technology company

Policy Analyst specializing in technology regulation

Researcher in algorithmic accountability

Consultant on responsible AI implementation

AI Policy Advisor for government agencies or technology companies

Ethics and Accountability Officer for an AI firm

Researcher in AI Governance and Global Policy

Consultant on the societal impact of artificial intelligence

Developing strategic thinking for AI policy and global governance

Enhancing problem-solving through the analysis of complex ethical and economic challenges in AI

Critical thinking for a comprehensive and nuanced understanding of AI regulation

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Alice Gallo

Dr. Si-woo Park

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