S3T Learning Path: Advanced Studies in Artificial Intelligence Governance.
Overview
Learning objectives
In this this 3 week advanced studies course course, participants will gain:
- A deep understanding of the principles of AI Governance
- A practical framework for setting up and managing an AI Governance function,
- A set of sample AI Governance artifacts that they can use to accelerate the establishment and development of a mature AI Governance committee.
How the curriculum enables learning and skill acquisition
- Sessions for learning key concepts,
- Discussion forums to enhance engagement and provide a platform for deeper exploration of topics, and facilitate peer-to-peer learning.
- Presentation days where participants and share their final deliverables and lessons learned.
Session schedule
This learning approach uses a 3 day per week cadence to introduce, activate and reinforce key lessons and skills:
- Monday: Introduction to Learning Objective for the week, and Key Concepts to master.
- Wednesday: Discussion & Clarification of Key Points, Initial Review of Draft Deliverables.
- Friday: Presentation of Final Deliverables. Reinforce and celebrate what we learned.
Curriculum Outline
Week 1: Introduction to AI Governance
Main Class (Monday): Foundations of AI Governance
- Overview of AI and its impact on society
- Key principles of AI governance
- Importance of ethical considerations in AI development and deployment
- Assignment: Write a 1 page charter for an AI Governance Committee.
Discussion Forum (Wednesday): Open Discussion on AI Governance Principles
- Interactive Q&A session on Monday's topics, and review of initial drafts of key deliverables for the week.
- Sharing insights and perspectives on AI governance
- Networking and collaborative discussion among participants
Follow-up (Friday): Case Studies in AI Governance
- Discussion on real-world examples of AI governance challenges and successes
- Analysis of current AI regulations and their effectiveness
Week 2: Policy and Regulatory Frameworks
Main Class (Monday): Global and Regional AI Policies
- Examination of international AI policies and regulatory frameworks
- Comparative analysis of AI regulations in different regions (e.g., EU, US, Asia)
- The role of governmental and non-governmental organizations in AI governance
- Assignment: Write a membership roster for an AI Governance Committee
Discussion Forum (Wednesday): Policy Debate and Discussion
- Debating different AI policy approaches
- Evaluating the effectiveness of existing regulations
- Engaging in a policy development brainstorming session
Follow-up (Friday): Policy Development Workshop
- Group activity: Drafting policy recommendations for AI governance
- Discussion on the role of stakeholders in policy-making
Week 3: Implementing and Enforcing AI Governance
Main Class (Monday): Strategies for Effective AI Governance
- Tools and methodologies for implementing AI governance
- Risk management and mitigation strategies in AI
- The role of transparency and accountability in AI systems
- Assignment: Write the Voting Rules for an AI Governance Committee.
Discussion Forum (Wednesday): Practical Challenges and Solutions
- Discussing practical challenges in implementing AI governance
- Sharing experiences and solutions
- Collaborative problem-solving session
- Review of Draft Voting Rules.
Follow-up (Friday): Practical Applications and Future Trends
- Exploring the future of AI governance: trends and predictions
- Interactive session on the implementation of governance strategies in various sectors
- Open discussion on the ethical implications of emerging AI technologies
Course Wrap-Up
- Summary of key learnings and takeaways
- Q&A session to address remaining questions and insights
- Final thoughts and reflections on the future of AI governance