Generative AI: Lessons from Dickens for the Information Age, Duncan Brumby, TU/e 2025

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Title: Generative AI: Lessons from Dickens for the Information Age
For Bookings: speakers.acm.o...
Speaker: Professor Duncan Brumby, UCL
Contact: d.brumby@ucl.ac.uk
Location: Eindhoven University of Technology (TU/e)
Date: Tuesday 14 January 2025
Timestamps
- 00:00:00: Welcome by Minha Lee (TU/e)
- 00:01:14: Introduction-AI as a Tool
- 00:03:36: Part 1-The Human Quest to Make Artificial Life
- 00:16:16: Part 2-The Future of University Education
- 00:52:42: Part 3-The Hype Machine and AI Winter
- 01:02:53: Link- • A Christmas Carol - SNL
- 01:02:57: Q&A with the Transdisciplinary Research & Design (TR&D) group
Abstract
This talk explores how generative AI is reshaping work, education, and creativity, offering profound opportunities while addressing ethical and practical challenges. Through historical and cultural perspectives, it examines how AI extends human capabilities, enhances learning, and must be harnessed responsibly to avoid pitfalls like superficiality and ethical misuse.
Key Themes
- Historical Context and Parallels: Dickens’ portrayal of industrialization serves as a powerful analogy for the societal transformations driven by generative AI. Similar to the upheavals of the Victorian era, AI is reshaping education and professional landscapes. The talk highlights the tension between human creativity and machine efficiency, emphasizing the risks of over-reliance on automation and the importance of maintaining a balance.
- Generative AI in Knowledge Work: AI tools like ChatGPT are revolutionizing writing by enabling faster drafts and improving accessibility. However, these tools come with a "speed trap": the ease of generating content can result in superficial outputs without iterative refinement. The discussion underscores the need for deliberate engagement and thoughtful iteration to ensure quality.
- Education and Skill Development: Integrating AI into education offers opportunities to enhance critical thinking, writing, and metacognitive skills. Examples from the talk include using AI as a teaching tool to complement, rather than replace, human effort. The importance of fostering active learning habits and avoiding passive reliance on AI tools is a central theme.
- Ethical Considerations: The talk examines the ethical dimensions of AI, including biases, misuse, and the implications of AI-generated content. It emphasizes the necessity of developing AI literacy to help users understand the strengths and limitations of these tools. Interdisciplinary collaboration among technologists, educators, and policymakers is presented as crucial to addressing these challenges.
- Personal Anecdotes: Examples highlight AI's role as a supportive collaborator. One describes a writing pipeline where AI captures spoken ideas and, through active iteration guided by the human author, refines them into concise, impactful text, with success measured by how it resonates with the target audience. Another highlights driver-assistance technologies, where innovations like sensors have made human-driven vehicles safer, even as the goal of fully autonomous vehicles remains ever elusive. These stories emphasize the importance of human-centered AI integration.
Q&A Highlights
- Creativity and Collaboration: Discussions explored how to balance efficiency with creativity, emphasizing AI’s potential to enhance collaboration in writing teams by streamlining routine tasks and enabling greater focus on strategic and creative elements.
- Ethical and Academic Concerns: Questions about plagiarism and academic integrity were addressed with a focus on transparency and fostering a culture of ethical AI use. The talk underscored the importance of guidelines and active discussions to frame AI as a learning tool.
- Future Education: AI’s role in personalizing and transforming future education was a key topic. While its potential to support educators and tailor learning experiences is significant, caution was urged to prevent over-dependence and ensure foundational skills are preserved.
Conclusion
The talk emphasizes embracing generative AI thoughtfully, guided by principles of equity and human-centered design, to ensure it enhances rather than limits human potential. How will you engage with generative AI to enhance creativity and critical thinking in your field? Join the conversation and explore the possibilities.

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