The Responsible AI Forum 2026 Panel On AI And Education

Value of the Information & Strength of the Argument

The panel provides valuable insights from multiple perspectives: educational sciences, language teaching, and technical development. The arguments are well-reasoned and grounded in personal teaching experiences and ongoing research projects. For instance, Anna Korhonen’s example of using AI image generation to enhance student projects illustrates a concrete application, while Sneha Das’s point about the shift from ‘how’ to ‘why’ in coding education highlights a critical pedagogical shift. The discussion is balanced, acknowledging both benefits and risks, and avoids one-sided enthusiasm. However, the arguments are largely anecdotal and lack empirical evidence, which limits their generalizability. The panelists do not engage in deep critical analysis of specific AI tools or their long-term impacts, but they raise important questions for further exploration.

Scientific Rigor, Source Quality, Title Accuracy

The panel is scientifically rigorous in its reliance on the panelists’ expertise and references to ongoing projects like alignAI. However, no formal citations are provided during the discussion, and the sources cited in the description (alignAI, IEAI, etc.) are institutional rather than specific research papers. The title accurately reflects the content, which is a panel discussion on AI in education. The discussion is well-structured and stays on topic, though it occasionally veers into broader ethical considerations. The lack of specific data or references to published studies slightly reduces the scientific rigor, but the panelists’ credibility and the balanced nature of the discussion compensate for this.

The title accurately reflects the content: a panel discussion on AI in education.

7/10

Panel discussion with academic experts from diverse fields (education, computer science, psychology) providing balanced perspectives. No formal citations, but references to ongoing projects (alignAI) and personal teaching experiences. Moderate scientific rigor due to lack of empirical data.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 01:00Introduction of panelists and their backgrounds.
• 05:00Discussion on how AI has influenced teaching practices, with examples from writing courses.
• 10:00Exploration of AI's role in fostering creativity and the risks to creative processes.
• 15:00Discussion on information overload and the challenges of navigating unstructured information.
• 20:00Addressing student anxiety and the 'bad conscience' associated with using AI.
• 25:00Examples of using AI to address bias and stereotypes in multicultural classrooms.
• 30:00Discussion on AI literacy and using AI as a tool for learning.
• 35:00Examples of AI in language education and communication practice.
• 40:00Discussion on using AI for creative projects and gender equity in STEM.
• 45:00Debate on potential bans on AI in schools and the importance of critical thinking.

• alignAI — Mentioned as a project on educational use cases for AI.
• IEAI - Institute for Ethics in Artificial Intelligence — Organizer of the Responsible AI Forum.
• The Responsible AI Forum — Event website.
• Amerikahaus — Venue and video footage provider.

• UNESCO - AI in Education — Global perspective on AI's role in education, aligning with the panel's emphasis on responsible integration.

• The New York Times - The AI Classroom — Raises concerns about AI's impact on critical thinking and academic integrity, contrasting with the panel's more optimistic view.

• ieai.sot.tum.de
• www.ieai.sot.tum.de