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AI Ethics in Biosecurity and Chemical Research Fundamentals
"AI Ethics in Biosecurity and Chemical Research Fundamentals" offers a deep dive into ethical considerations in applying AI to dual-use biological and chemical domains. Participants learn risk governance, transparency, and misuse prevention strategies. Cybersecurity intersects here to ensure that sensitive datasets and AI models used in pathogen research are not misused or stolen. The course emphasizes ethical, secure AI practices in life science innovation.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Understand the ethical frameworks relevant to AI development and deployment.
- Analyze the ethical considerations in applying AI to biosecurity and chemical research.
- Evaluate the potential for AI misuse in sensitive research areas, highlighting the need for robust ethical cybersecurity guidelines.
- Identify strategies for responsible AI innovation that minimizes dual-use risks and maximizes societal benefit.
- Discuss the role of governance and regulation in ensuring ethical AI development in sensitive fields.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.