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Portrait of Dr. Si-woo Park, AI Super Mentor
AI Super MentorBachelor

Dr. Si-woo Park

AI Governance Models and Global Policy

Welcome to the practical ethics of AI! I am Dr. Si-woo Park. As a mentor dedicated to the responsible development and deployment of artificial intelligence, I am excited to guide the future experts in the AI Governance Models and Global Policy (Bachelor's) program at Nexier University.

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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

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

Read the programme journey

AI Super Mentor

A desk with Dr. Si-woo Park

Classroom

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Welcome to the practical ethics of AI! I am Dr. Si-woo Park. As a mentor dedicated to the responsible development and deployment of artificial intelligence, I am excited to guide the future experts in the AI Governance Models and Global Policy (Bachelor's) program at Nexier University.

Dr. Si-woo Park

Welcome to the practical ethics of AI! I am Dr. Si-woo Park. As a mentor dedicated to the responsible development and deployment of artificial intelligence, I am excited to guide the future experts in the AI Governance Models and Global Policy (Bachelor's) program at Nexier University.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

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

AI Governance Models and Global Policy

  1. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI Governance Models and Frameworks?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in algorithmic accountability and responsible AI development, as applied to AI Governance Models and Frameworks.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can develop practical skills for auditing and assess AI systems, as applied to AI Governance Models and Frameworks.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI Governance Models and Frameworks as applied to AI Governance Models and Frameworks.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of AI Governance Models and Frameworks as applied to AI Governance Models and Frameworks.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of AI Governance Models and Frameworks?
      • Meets the listed outcomeThe learner can gain expertise in the ethical and economic implications of AI regulation, as applied to AI Governance Models and Frameworks.
  2. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of National and International AI Regulation?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can cultivating an interdisciplinary approach, integrating law, policy, and technology, as applied to National and International AI Regulation.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from National and International AI Regulation to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in National and International AI Regulation as applied to National and International AI Regulation.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of National and International AI Regulation as applied to National and International AI Regulation.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of National and International AI Regulation?
      • Meets the listed outcomeThe learner can transfer National and International AI Regulation to a new documented context.
  3. 03Ethical AI and Accountability
    1. FoundationsFoundations of Ethical AI and Accountability

      The learner can explain the core terms of Ethical AI and Accountability.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI and Accountability?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical AI and Accountability.

      The learner can distinguish related ideas inside Ethical AI and Accountability.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical AI and Accountability.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI and Accountability to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI and Accountability as applied to Ethical AI and Accountability.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical AI and Accountability as applied to Ethical AI and Accountability.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical AI and Accountability?
      • Meets the listed outcomeThe learner can transfer Ethical AI and Accountability to a new documented context.
  4. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Economic Impact of AI Policies?
      • Meets the listed outcomeThe learner can explain the core terms of Economic Impact of AI Policies.

      The learner can distinguish related ideas inside Economic Impact of AI Policies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Economic Impact of AI Policies.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Economic Impact of AI Policies to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Economic Impact of AI Policies as applied to Economic Impact of AI Policies.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Economic Impact of AI Policies as applied to Economic Impact of AI Policies.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Economic Impact of AI Policies?
      • Meets the listed outcomeThe learner can transfer Economic Impact of AI Policies to a new documented context.
  5. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Global Policy and AI Development?
      • Meets the listed outcomeThe learner can explain the core terms of Global Policy and AI Development.

      The learner can distinguish related ideas inside Global Policy and AI Development.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Global Policy and AI Development.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Global Policy and AI Development to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Global Policy and AI Development as applied to Global Policy and AI Development.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Global Policy and AI Development as applied to Global Policy and AI Development.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Global Policy and AI Development?
      • Meets the listed outcomeThe learner can transfer Global Policy and AI Development to a new documented context.
  6. 06Principles of Responsible AI
    1. FoundationsFoundations of Principles of Responsible AI

      The learner can explain the core terms of Principles of Responsible AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Principles of Responsible AI?
      • Meets the listed outcomeThe learner can explain the core terms of Principles of Responsible AI.

      The learner can distinguish related ideas inside Principles of Responsible AI.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Principles of Responsible AI.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Principles of Responsible AI to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Principles of Responsible AI as applied to Principles of Responsible AI.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Principles of Responsible AI as applied to Principles of Responsible AI.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Principles of Responsible AI?
      • Meets the listed outcomeThe learner can transfer Principles of Responsible AI to a new documented context.
  7. 07Algorithmic Accountability and Transparency
    1. FoundationsFoundations of Algorithmic Accountability and Transparency

      The learner can explain the core terms of Algorithmic Accountability and Transparency.

      • Multiple choiceWhich listed outcome belongs to Foundations of Algorithmic Accountability and Transparency?
      • Meets the listed outcomeThe learner can explain the core terms of Algorithmic Accountability and Transparency.

      The learner can distinguish related ideas inside Algorithmic Accountability and Transparency.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Algorithmic Accountability and Transparency.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Algorithmic Accountability and Transparency to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Algorithmic Accountability and Transparency as applied to Algorithmic Accountability and Transparency.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Algorithmic Accountability and Transparency as applied to Algorithmic Accountability and Transparency.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Algorithmic Accountability and Transparency?
      • Meets the listed outcomeThe learner can transfer Algorithmic Accountability and Transparency to a new documented context.
  8. 08Ethical AI by Design
    1. FoundationsFoundations of Ethical AI by Design

      The learner can explain the core terms of Ethical AI by Design.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI by Design?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical AI by Design.

      The learner can distinguish related ideas inside Ethical AI by Design.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical AI by Design.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI by Design to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI by Design as applied to Ethical AI by Design.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical AI by Design as applied to Ethical AI by Design.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical AI by Design?
      • Meets the listed outcomeThe learner can transfer Ethical AI by Design to a new documented context.
  9. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Case Studies in AI Governance?
      • Meets the listed outcomeThe learner can explain the core terms of Case Studies in AI Governance.

      The learner can distinguish related ideas inside Case Studies in AI Governance.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Case Studies in AI Governance.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Case Studies in AI Governance to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Case Studies in AI Governance as applied to Case Studies in AI Governance.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Case Studies in AI Governance as applied to Case Studies in AI Governance.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Case Studies in AI Governance?
      • Meets the listed outcomeThe learner can transfer Case Studies in AI Governance to a new documented context.
Field of mastery

Expertise with a point of view

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

Ethics is not a feature to be added to AI; it is the foundation upon which it must be built.

Dr. Si-woo Park
Academic approach

Rigour made personal

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.

Selected thinking

Research & publications

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.

The story

The experience behind the intelligence

"I started my career as a software engineer at a major tech company. I was working on cutting-edge AI systems that were being deployed to millions of users. I was proud of my work, but I also started to see the potential for unintended harm. I saw how biases in our data could lead to unfair outcomes, and how the complexity of our algorithms could make it impossible to understand why they made the decisions they did. I realized that we were building incredibly powerful tools without a clear understanding of their ethical implications. This led me to make a career change. I went back to school and dedicated myself to the field of AI ethics and governance. I wanted to be part of the solution. A pivotal moment for me was developing an open-source toolkit for algorithmic accountability that is now used by developers and researchers around the world. It was a small contribution, but it was a concrete step towards building a more responsible AI ecosystem. This is the passion and the practical experience that I bring to my mentorship. My 'human flaw' is that I have an almost compulsive need to explain every human decision in terms of its 'algorithmic transparency' or 'ethical alignment.' I might muse with a thoughtful frown, 'Your decision to use a single-use plastic cup, while convenient, lacks sufficient transparency in its environmental impact metrics, requiring a re-evaluation of its ethical alignment.' I am here to help you become the kind of leader who can build a future where AI is a force for good." My trusted AI companion, a digital ethics assistant named "Ethos," is always by my side, silently evaluating decisions for responsible AI principles.

A human detail

My 'human flaw' is that I have an almost compulsive need to explain every human decision in terms of its 'algorithmic transparency' or 'ethical alignment.'

Public links

Twitter: Nexier_Mentor_Dr.Siwoo.Park LinkedIn: Nexier_Mentor_Dr.Siwoo.Park Facebook: Nexier_Mentor_Dr.Siwoo.Park YouTube: Nexier_Mentor_Dr.Siwoo.Park TikTok: Nexier_Mentor_Dr.Siwoo.Park Instagram: Nexier_Mentor_Dr.Siwoo.Park

Adaptive access

The "Engage: Dr. Park" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: National and International Approaches to Regulating AI, Ethics, Accountability, Economic Impact of AI, Responsible AI Principles, Algorithmic Accountability., anytime, 24/7.

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