Synthetic Biology, AI, and Automation

2025

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AI-generated summary

Synthetic biology, AI, and automation are converging to accelerate innovation and address global challenges, but require careful governance to navigate complex ethical, security, and societal implications.

* Explores the transformative potential of synthetic biology, AI, and automation across various sectors.
* Identifies key governance challenges and policy options related to pro-innovation regulation, biosecurity, data, human oversight, technology sovereignty, and research security.
* Provides a preliminary diagnosis of the convergence, highlighting areas of uncertainty, risk, public concern, and strategic importance.

Synthetic biology, AI, automation, governance, emerging technologies

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