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.

AI 工具在网络安全领域的出现带来了诸多机遇和不确定性。一项针对网络安全领域高级研究生的焦点小组讨论揭示了挑战和机遇的潜在深度和广度。主要问题包括获取开源或免费工具、文件文献、课程多样性以及明确的人工智能网络安全教育伦理原则的表达。解决 “黑匣子” 思维在人工智能网络安全工作中的问题至关重要，同时还需要更加深入和优先教授基础人工智能知识。系统思维和有效沟通也被认为是教育改进的相关领域。未来的人工智能教育家和从业者需要通过实施严格的技术培训课程、明确的文件文献和用于伦理监控人工智能的框架，结合批判性思维和系统思维和沟通技巧来解决这些问题。