This position paper explores the broad landscape of AI potentiality in the
context of cybersecurity, with a particular emphasis on its possible risk
factors with awareness, which can be managed by incorporating human experts in
the loop, i.e., "Human-AI" teaming. As artificial intelligence (AI)
technologies advance, they will provide unparalleled opportunities for attack
identification, incident response, and recovery. However, the successful
deployment of AI into cybersecurity measures necessitates an in-depth
understanding of its capabilities, challenges, and ethical and legal
implications to handle associated risk factors in real-world application areas.
Towards this, we emphasize the importance of a balanced approach that
incorporates AI's computational power with human expertise. AI systems may
proactively discover vulnerabilities and detect anomalies through pattern
recognition, and predictive modeling, significantly enhancing speed and
accuracy. Human experts can explain AI-generated decisions to stakeholders,
regulators, and end-users in critical situations, ensuring responsibility and
accountability, which helps establish trust in AI-driven security solutions.
Therefore, in this position paper, we argue that human-AI teaming is worthwhile
in cybersecurity, in which human expertise such as intuition, critical
thinking, or contextual understanding is combined with AI's computational power
to improve overall cyber defenses.

人工智能在网络安全领域的潜力以及人工智能与人类合作的风险因素、伦理和法律问题等方面进行了深入探讨，强调了将人类专家的专业知识与人工智能的计算能力相结合以改善网络防御的重要性。