印度空军正在转向对关键任务实行信任的AI自治,要求近乎零误差率和本土技术。 India’s air force is moving to trusted AI autonomy for critical missions, demanding near-zero error rates and homegrown tech.

空军副元帅Ajay Kunnath说,印度空军正在从传统的自动化转向信任的高级航空任务AI自主权,强调需要概率AI模型,以实现近零误差率。 Air Vice Marshal Ajay Kunnath said the Indian Air Force is shifting from traditional automation to trusted AI autonomy for high-stakes missions, emphasizing the need for probabilistic AI models to achieve near-zero error rates. 在AI影响首脑会议上发言时,他概述了从人流动到完全自主的转变,强调AI必须适合航空的独特需求。 Speaking at the AI Impact Summit, he outlined a move from human-in-the-loop to full autonomy, stressing that AI must be tailored to aviation’s unique demands. 他警告说,即使人工智能预测中5%的不确定性也可能导致重大故障,并强调需要更好的数据、改良模型和本土技术,以确保可靠和安全的系统。 He warned that even 5% uncertainty in AI predictions could lead to critical failures, highlighting the need for better data, improved models, and homegrown technology to ensure reliable, secure systems.