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AI's Impact on the Future of Science | Nobel Prize Dialogue Seoul 2026

Overview

The Nobel Prize Dialogue Seoul 2026, hosted jointly by Nobel Prize Outreach and the Korean Academy of Science and Technology (KAST), brought together Nobel Laureates, AI researchers, and scholars to discuss “AI’s Impact on the Future of Science.”

The full event video is available on YouTube: AI’s Impact on the Future of Science | Nobel Prize Dialogue Seoul 2026.

Key Themes & Discussions

1. Is AI Changing the Nature of Discovery?

  • Redefining the Scientific Method: AI models (e.g., AlphaFold, LLMs in chemistry and physics) accelerate hypothesis generation, data collection, and pattern recognition beyond human speed.

  • The Role of Serendipity: Nobel Laureate Craig Mello emphasized that many major breakthroughs—including his own discovery of RNA interference—happened completely by accident. AI algorithms, trained on historical data, might label anomalous findings as errors rather than breakthroughs if not carefully designed. Protecting human intuition and unintended discoveries remains paramount.

2. Science in the Age of AI & Essential Scientific Skills

  • Augmentation, Not Replacement: AI should serve as an amplifier for scientists rather than a substitute.

  • Critical Evaluation & Auditing: As highlighted by Su-In Lee and Alison Noble, auditing AI models in biology and healthcare is crucial. Knowing how AI reaches conclusions and evaluating its reliability are now essential core scientific skills.

  • Understanding vs. Output: Using AI tools without understanding the underlying mechanisms risks diminishing scientific literacy. True progress requires human insight to interpret AI-generated outputs.

3. Ethics, Equity, and Access

  • Broad Distribution of Benefits: Panel discussions questioned who stands to benefit most from AI-enabled science. Speakers highlighted the need for equitable access to AI infrastructure and research datasets so that benefits do not accrue solely to tech monopolies or wealthy nations.

  • Proactive Guardrails: Nobel Laureate Brian Schmidt noted the necessity of actively guiding AI development to maximize public benefit while putting up appropriate guardrails to prevent potential risks.

4. Communication, Education, and Science Policy

  • New Learning Models: As scientific workflows shift, educational institutions must update curricula to emphasize ethics, interdisciplinary thinking, and AI auditing over rote learning.

  • Ethics as a Compass: Panelists noted that technology without ethics becomes control, while science guided by human ethics ensures progress serves society as a whole.

Key Takeaways

  1. Protect Serendipity: AI excels at optimizing inside existing parameters, but human curiosity and accidental findings drive radical breakthroughs.

  2. Focus on Interpretability: The scientific community must ensure AI models in healthcare, physics, and chemistry remain verifiable and transparent.

  3. Equitable Access: Global policy must focus on democratizing AI technologies across research communities globally.

  4. Human-Centric Future: AI is a vital tool for tackling complex global challenges, but human judgment, values, and curiosity remain the core drivers of science.

September 20, 2026 ∙ ai science nobel-prize ethics technology