Future Ethics: GenAI, Academic Integrity, and the Next Decade

Anticipate the ethical challenges of AI in higher education. Explore how generative AI reshapes academic integrity, policy, and practice — and prepare for the dilemmas of the next decade.

Hands-On Learning

Gain practical experience through hands-on projects and real-world applications.

Expert Guidance

Learn from industry experts with years of experience in Generative AI research.

Flexible Schedule

Study at your own pace with our online platform, allowing you to balance work and learning effectively.

About the Course

Our Future Ethics: GenAI, Academic Integrity, and the Next Decade course is designed for educators, policy makers, and academic leaders who want to future-proof their integrity strategies in an AI-enabled world. You will examine emerging risks, shifting definitions of misconduct, and the balance between deterrence, trust, and innovation. Combining ethical theory, institutional policy insights, and scenario-based exercises, this course helps you critically evaluate how generative AI will challenge academic norms over the next decade. You will leave with practical frameworks for safeguarding equity and integrity, while also recognising opportunities to redesign assessments and feedback in ways that embrace AI responsibly.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops practical, responsible and future-focused approaches to digital learning and emerging technology. Drawing on over 20 years of experience in higher education, research and digital innovation, his work explores how technology can support learning, analysis and knowledge creation. His work spans generative and agentic AI, digital learning design, interactive learning systems, educational technology and open-source development. A particular focus is translating emerging technologies into practical tools, workflows and learning experiences while maintaining transparency, critical judgement and human oversight. Through CloudPedagogy, Jonathan develops courses, frameworks, demonstrations and open-source projects designed to help learners and professionals understand complex ideas, experiment with new technologies and apply them in meaningful real-world contexts.

Curriculum

8 Chapters · 76 Lessons

1. Welcome to the Course Free preview
2. How This Course Works Free preview
3. Legal Disclaimer & Terms of Use Free preview
4. Download: Universal AI Practice Workbook Free preview
1. (Included in full purchase)
  10.1.1 What Happens When Students Use Multimodal AI?
2. (Included in full purchase)
  10.1.2 Preparing for Agent-Based Learning Systems
3. (Included in full purchase)
  10.1.3 AI as Research Collaborator — Implications for Study
4. (Included in full purchase)
  10.1.4 Ethics of AI Feedback Loops in Learning Platforms
5. (Included in full purchase)
  10.1.5 Planning for Rapid Technological Shifts in Integrity Practice
6. (Included in full purchase)
  10.1.6 Key Takeaways
7. (Included in full purchase)
  10.1.A Practical Use Cases
8. (Included in full purchase)
  10.1.B Learning Activities
9. (Included in full purchase)
  10.1.C Prompt Templates
10. (Included in full purchase)
  10.1.D Innovative Use Cases
11. (Included in full purchase)
  10.1.E Reflection & Discussion
12. (Included in full purchase)
  10.1.F Productivity Tips
13. (Included in full purchase)
  10.1.G Prompt Library
14. (Included in full purchase)
  10.1.H Applying the AI Capability Framework
1. (Included in full purchase)
  10.2.1 Moving from Static Policies to Adaptable Frameworks
2. (Included in full purchase)
  10.2.2 Integrating Foresight Thinking into HE Planning
3. (Included in full purchase)
  10.2.3 Scenario Planning for AI Disruption
4. (Included in full purchase)
  10.2.4 Using Environmental Scanning to Update Guidance
5. (Included in full purchase)
  10.2.5 Agility in Professional Development and Training
6. (Included in full purchase)
  10.2.6 Key Takeaways
7. (Included in full purchase)
  10.2.A Practical Use Cases
8. (Included in full purchase)
  10.2.B Learning Activities
9. (Included in full purchase)
  10.2.C Prompt Templates
10. (Included in full purchase)
  10.2.D Innovative Use Cases
11. (Included in full purchase)
  10.2.E Reflection & Discussion
12. (Included in full purchase)
  10.2.F Productivity Tips
13. (Included in full purchase)
  10.2.G Prompt Library
14. (Included in full purchase)
  10.2.H Applying the AI Capability Framework
1. (Included in full purchase)
  10.3.1 Designing for Meaningful AI Use, Not Avoidance
2. (Included in full purchase)
  10.3.2 Ethics in Prompt Engineering and Task Design
3. (Included in full purchase)
  10.3.3 Collaborative, Creative, and Open Assessment Models
4. (Included in full purchase)
  10.3.4 Critical Thinking in AI-Centric Assignments
5. (Included in full purchase)
  10.3.5 Assessment for Meta-Learning and AI Reflection
6. (Included in full purchase)
  10.3.6 Key Takeaways
7. (Included in full purchase)
  10.3.A Practical Use Cases
8. (Included in full purchase)
  10.3.B Learning Activities
9. (Included in full purchase)
  10.3.C Prompt Templates
10. (Included in full purchase)
  10.3.D Innovative Use Cases
11. (Included in full purchase)
  10.3.E Reflection & Discussion
12. (Included in full purchase)
  10.3.F Productivity Tips
13. (Included in full purchase)
  10.3.G Prompt Library
14. (Included in full purchase)
  10.3.H Applying the AI Capability Framework
1. (Included in full purchase)
  10.4.1 Equity of Access to AI Tools and Guidance
2. (Included in full purchase)
  10.4.2 Disproportionate Surveillance and Academic Freedom
3. (Included in full purchase)
  10.4.3 Supporting Marginalised Students in the AI Landscape
4. (Included in full purchase)
  10.4.4 Addressing Algorithmic Bias in Integrity Policies
5. (Included in full purchase)
  10.4.5 Designing Inclusive Integrity Cultures
6. (Included in full purchase)
  10.4.6 Key Takeaways
7. (Included in full purchase)
  10.4.A Practical Use Cases
8. (Included in full purchase)
  10.4.B Learning Activities
9. (Included in full purchase)
  10.4.C Prompt Templates
10. (Included in full purchase)
  10.4.D Innovative Use Cases
11. (Included in full purchase)
  10.4.E Reflection & Discussion
12. (Included in full purchase)
  10.4.F Productivity Tips
13. (Included in full purchase)
  10.4.G Prompt Library
14. (Included in full purchase)
  10.4.H Applying the AI Capability Framework
1. (Included in full purchase)
  10.5.1 Transferable Integrity for AI Use in the Workplace
2. (Included in full purchase)
  10.5.2 Teaching Students to Evaluate Real-World AI Ethics
3. (Included in full purchase)
  10.5.3 Embedding GenAI Responsibility in Graduate Employability
4. (Included in full purchase)
  10.5.4 Developing AI-Conscious Professional Identity
5. (Included in full purchase)
  10.5.5 Higher Education as a Steward of AI-Ethical Citizenship
6. (Included in full purchase)
  10.5.6 Key Takeaways
7. (Included in full purchase)
  10.5.A Practical Use Cases
8. (Included in full purchase)
  10.5.B Learning Activities
9. (Included in full purchase)
  10.5.C Prompt Templates
10. (Included in full purchase)
  10.5.D Innovative Use Cases
11. (Included in full purchase)
  10.5.E Reflection & Discussion
12. (Included in full purchase)
  10.5.F Productivity Tips
13. (Included in full purchase)
  10.5.G Prompt Library
14. (Included in full purchase)
  10.5.H Applying the AI Capability Framework
1. (Included in full purchase)
  Course Complete: Share Your Feedback
1. (Included in full purchase)
  End of Course Survey

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Future Ethics: GenAI, Academic Integrity, and the Next Decade