The Global Digital Encounters (GDE) series has been a cornerstone of intellectual property (IP) discussions for nearly five years, bringing together thousands of participants and hundreds of distinguished speakers worldwide. Recognizing the rapid evolution of Artificial Intelligence (AI) and its growing impact on the IP landscape, GDE has expanded its scope with a new initiative: the Global AI/IP Talks.
This new series is developed in partnership between FIDE and the European Intellectual Property Teachers’ Network (EIPTN): EIPTN counts more than 900-members in its academic network. The new series is designed to empower academics and professionals to integrate AI into IP research, practice, and teaching. The AI/IP Talks aim to provide practical insights into using AI tools effectively while ensuring that human expertise remains central to intellectual creativity and decision-making.
This inaugural session of the Global AI/IP Talks explored how AI can be leveraged to create multiple-choice questions (MCQs) and quizzes for intellectual property law education, offering insights into both opportunities and limitations in AI-assisted teaching.
Objectives
- Introduce the Global AI/IP Talks as a dedicated series for IP academics and professionals to explore AI’s role in the field.
- Examine how AI can assist in creating multiple-choice questions (MCQs) and quizzes for IP education.
- Discuss best practices in designing AI-generated assessments while maintaining human oversight.
- Identify pitfalls and challenges in AI-assisted question generation, such as bias, accuracy, and complexity.
- Provide hands-on strategies to refine AI-generated questions and ensure they align with learning objectives.
Panel Members
- Vishv Priya Kohli – Professor of Law, Copenhagen Business School, EIPTN Executive Committee Member.
- Moderator: Laurent Manderieux – Professor of Intellectual Property Law at Bocconi University, Milan, and Director of TIPSA.
Key Discussions
1. The Evolution of AI in IP Education
- Laurent Manderieux introduced the Global AI/IP Talks, explaining that this new series will focus on AI’s growing role in the IP field. He emphasized the importance of empowering educators and professionals to use AI effectively while maintaining the centrality of human judgment in teaching and learning.
- He noted that four sessions are planned in this cycle, each exploring different AI applications in IP academia and practice.
2. AI for Multiple-Choice Question (MCQ) Generation: Approaches and Strategies
- Vishv Priya Kohli provided an overview of AI’s capabilities in creating MCQs for IP education, emphasizing two main approaches:
- AI-Prompt-Based Question Generation – Using tools like ChatGPT, Copilot, or LexisNexis to generate questions based on detailed prompts.
- AI-Assisted Text Analysis – Uploading legal texts (e.g., the Berne Convention) to generate questions based on key principles.
- She highlighted the importance of defining learning objectives clearly to guide AI-generated content effectively.
3. Designing High-Quality AI-Generated Questions
- Vishv Priya Kohli demonstrated how AI-generated questions can be refined and validated, stressing that educators should:
- Avoid ambiguity by structuring questions around clear legal principles.
- Ensure one correct answer while including plausible distractors.
- Use AI to assess question difficulty levels and provide alternative versions.
- Pilot test AI-generated questions in real classroom settings before full implementation.
4. Avoiding Pitfalls in AI-Generated MCQs
- Laurent Manderieux and Priya Kohli discussed common errors in AI-generated questions, including:
- Overly complex or misleading phrasing (e.g., using excessive negatives like «Which of the following is NOT untrue?»).
- Cultural biases and insensitive references, which should be manually reviewed before use.
- Factually incorrect or overly simplistic questions, requiring expert validation.
- Laurent Manderieux stressed that AI should be seen as a support tool rather than a replacement for educators’ judgment in designing assessments.
5. AI and Student Engagement: Opportunities & Ethical Concerns
- Laurent Manderieux raised concerns about AI being misused by students for exam preparation and potential cheating.
- Priya Kohli suggested strategies to mitigate these risks:
- Encouraging students to generate their own AI-based questions as a learning exercise (validated by educators).
- Designing scenario-based and application-oriented questions that require deeper understanding rather than rote memorization.
- Laurent Manderieux emphasized that the goal is not to prohibit AI use but to promote responsible AI-assisted learning.
6. Verifying AI-Generated Content for Accuracy & Bias
- Participants discussed how educators can ensure AI-generated questions remain accurate and unbiased:
- Cross-referencing AI-generated content with authoritative sources such as Google Scholar or official legal databases.
- Using multiple AI tools (e.g., Copilot, Claude, ChatGPT) to cross-check accuracy.
- Manually reviewing AI-generated questions for legal and logical consistency.
- Priya Kohli reiterated that AI is not infallible and should be treated as an assistant, not an authority.
Conclusion
The Global AI/IP Talks mark an exciting expansion of the Global Digital Encounters, focusing on equipping the IP academic and professional community with AI literacy and best practices.
Laurent Manderieux and Priya Kohli underscored the importance of balancing AI’s efficiency with human oversight, ensuring that AI-generated assessments remain rigorous, accurate, and ethically sound. They reinforced that the ultimate goal is to integrate AI responsibly into academic and professional IP work.
This first session set the foundation for future AI/IP Talks, with upcoming events covering:
📌 March 11: GDE | AI/IP Talks 2: Creating IP podcasts using AI
📌 April 24: GDE | AI/IP Talks 3: Making Reading guides using AI
📌 May 19: GDE | AI/IP Talks 4: Making IP case law summaries using AI
As AI continues to revolutionize the field of IP education and practice, the AI/IP Talks will serve as a practical forum for experimentation, knowledge-sharing, and critical discussions about the intersection of AI and intellectual property.
