Artificial intelligence (AI) has shown great potential in detecting and responding to large-scale biological attacks. However, the use of AI in such situations also poses significant operational risks that must be carefully considered. - Operational risks in AI response to biological attacks - Lack of human oversight in decision-making process - Potential for AI errors leading to misidentification of threats - Vulnerability to cyberattacks compromising AI systems - Difficulty in interpreting and acting upon complex data While AI can greatly enhance the speed and accuracy of response to biological attacks, it is crucial to have human oversight to ensure that decisions made by AI systems are reliable. Additionally, AI systems must be regularly updated and secured to prevent cyberattacks that could compromise their effectiveness. Interpreting and acting upon the vast amounts of data processed by AI can also present challenges that need to be carefully managed. In conclusion, the use of AI in responding to large-scale biological attacks offers both opportunities and risks. By addressing these operational risks and ensuring proper oversight and security measures, AI can be a valuable tool in mitigating the impact of biological threats.

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