Biosecurity Risk Assessment for the Use of Artificial Intelligence in Synthetic Biology

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Dr. Priyadharsini C; S.AFRIN; A.N.KAVYA

Biosecurity Risk Assessment for the Use of Artificial Intelligence in Synthetic Biology

Authors: Dr. Priyadharsini C, S.AFRIN, A.N.KAVYA

Unique Paper ID: 178547
Volume: 11
Issue: 12
PageNo: 5641-5649

Keywords: Biosecurity Artificial Intelligence Synthetic Biology Risk Assessment Biorisk Management AI Safety Governance of Emerging Technologies Responsible Innovation.

Abstract:
The convergence of Artificial Intelligence (AI) and synthetic biology is unlocking new possibilities in scientific innovation, yet it also introduces unprecedented biosecurity concerns. As AI models, particularly large language models, become more capable of designing biological systems and suggesting genetic modifications, the potential for misuse— whether accidental or deliberate—becomes a significant risk. This study proposes a specialized biosecurity risk assessment framework tailored to evaluate AI applications in synthetic biology. It outlines systematic tools and methodologies developed to assist risk management professionals in identifying, analyzing, and mitigating potential biosecurity threats. Using a real-world case study of "ChatGPT 4.0" applied in synthetic biology contexts, the assessment process demonstrates how structured evaluations can help forecast misuse scenarios and implement preventive strategies. The findings highlight the urgent need for proactive governance, transparent model usage policies, and enhanced technical safeguards to responsibly integrate AI technologies in the biological sciences. By addressing these challenges early, the scientific community can ensure that AIdriven innovation continues to benefit society while minimizing risks associated with synthetic biology advancements.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 5641-5649

Biosecurity Risk Assessment for the Use of Artificial Intelligence in Synthetic Biology

Available:https://ijirt.org/article?manuscript=178547

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