The emergence of AI tools in cybersecurity creates many opportunities and uncertainties. A focus group with advanced graduate students in cybersecurity revealed the potential depth and breadth of the challenges and opportunities. The salient issues are access to open source or free tools, documentation, curricular diversity, and clear articulation of ethical principles for AI cybersecurity education. Confronting the "black box" mentality in AI cybersecurity work is also of the greatest importance, doubled by deeper and prior education in foundational AI work. Systems thinking and effective communication were considered relevant areas of educational improvement. Future AI educators and practitioners need to address these issues by implementing rigorous technical training curricula, clear documentation, and frameworks for ethically monitoring AI combined with critical and system's thinking and communication skills.

翻译：人工智能工具在网络安全领域的应用带来了诸多机遇与不确定性。一项面向网络安全专业高年级研究生的焦点小组研究揭示了这些挑战与机遇的潜在深度与广度。关键议题包括开源或免费工具的获取、文档建设、课程多样性以及人工智能网络安全伦理原则的明确阐述。应对人工智能网络安全工作中的"黑箱"思维至关重要，而更深入的基础人工智能教育可使其重要性加倍。系统思维与有效沟通被视为教育改进的相关领域。未来的人工智能教育者与实践者需通过实施严格的技术训练课程、建立清晰的文档体系、构建伦理监控人工智能框架，并结合批判性思维、系统思维与沟通技能来应对上述问题。