The AI in Business Podcast Transparency for AI Systems, Regulations, and Humans in Agricultural Manufacturing - with Kun He of Bayer
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Dec 16, 2025 Kun He, Lead Scientific Advisor at Bayer Crop Science, shares insights on the intersection of AI and agriculture. He discusses how to balance data-driven efficiency with human intuition in decision-making. Kun emphasizes the importance of transparency in AI systems while navigating public skepticism and competitive secrets. He highlights the need for thoughtful regulations that protect without stifling innovation and addresses the limitations of AI in resolving complex human beliefs. Overall, it's a fascinating exploration of AI's transformative role in crop breeding and R&D.
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Keep Humans In The Decision Loop
- Do not hand decision power entirely to AI; combine AI recommendations with human discussion and brainstorming.
- Use multiple data inputs and human judgment to make final product decisions.
Public Bias Mirrors Tech Fear
- Public bias against large agricultural companies mirrors public fear of new technologies like AI.
- Transparency and inclusion help bridge trust gaps between companies and consumers.
Publish What Builds Trust—Not Your Playbook
- Share voluntary transparency but balance it with protecting competitive IP.
- Publish meaningful data and documents to build trust while safeguarding core playbooks.