From Biological AI Risk Assessment to Computational Sequence Screening, Research Safety and Responsible Innovation
To equip students, researchers, faculty members and industry professionals with practical knowledge and computational skills in biological AI safety, dual-use risk assessment, sequence screening and responsible governance, enabling them to evaluate biological research risks, implement basic computational safeguards and promote secure, ethical and responsible innovation in biotechnology.
Artificial Intelligence is transforming modern biotechnology, genomics and biological design, creating new opportunities for scientific discovery while introducing important biosafety, biosecurity and ethical challenges. This three-day hands-on workshop explores how AI-driven biological research can be evaluated, monitored and governed responsibly. Participants will gain practical experience in dual-use risk assessment, computational DNA sequence screening using Python and Biopython, screening performance evaluation and responsible AI governance. Through guided case studies, public resources and safe synthetic datasets, participants will develop practical skills applicable to academic research, biotechnology, pharmaceutical development and institutional biosafety management.
Topics Covered:
Applications of AI in biotechnology, genomics and synthetic biology.
Biosafety, biosecurity and dual-use research concerns.
Biological AI risk identification, classification and mitigation.
Risk-assessment frameworks and their applications in research and industry.
Hands-on 1: Evaluate fictional biological AI research scenarios using a structured risk assessment matrix.
Output: Biosecurity risk assessment matrix and risk visualization.
Topics Covered:
Fundamentals of DNA sequence screening and biological data analysis.
Sequence similarity analysis using BLAST and Biopython.
Screening performance: Precision, recall, sensitivity and false positives.
Computational safeguards and responsible sequence screening practices.
Hands-on 1: Analyze curated benign DNA sequences using a prepared Biopython notebook and interpret similarity results.
Output: Sequence analysis report and screening performance evaluation.
Topics Covered:
WHO biosecurity guidance and responsible biological research principles.
AI model safety, access controls, monitoring and documentation.
Institutional biosecurity governance and research compliance.
Implementation of biosecurity risk management in biotechnology and pharmaceutical research.
Hands-on 1: Evaluate a fictional biotechnology project against a responsible AI governance checklist.
Output: Responsible AI governance checklist and research biosecurity implementation plan.
November 30, 2026
IST 5:00 PM
November 30, 2026 – December 2, 2026
IST 5:30 PM
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
