最近一篇题为《AI没有安全指标》的论文认为，人工智能不应单独负责软件开发中的威胁建模。作者强调了人类监督对于验证 AI 生成的威胁评估的至关重要性。该论文还引用了一款名为“Elevation of MLSec”的游戏，可在 copi.owasp.org 上找到，旨在帮助用户理解与机器学习相关的风险。 AI
影响 强调了在 AI 驱动的安全流程中进行人类监督的必要性，表明 AI 工具需要验证。
排序理由 该集群讨论了一篇研究论文及其对 AI 安全实践的影响。
在 Mastodon — sigmoid.social 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
Did you read "No Security Meter for AI" (ref: berryvilleiml.com/docs/no-secu... ) If you did, you know that AI should not handle the threat modelling for your software without you double-checking the output. #security #appsec #threatmodeling #ai #machinelearning #ml #games berryv…
Did you read "No Security Meter for AI" (ref: https:// berryvilleiml.com/docs/no-secu rity-meter-ai.pdf ) If you did, you know that AI should not handle the threat modelling for your software without you double-checking the output. At copi.owasp.org, you can play Elevation of MLS…
Did you read "No Security Meter for AI" (ref: berryvilleiml.com/docs/no-secu... ) If you did, you know that AI should not handle the threat modelling for your software without you double-checking the output. #security #appsec #threatmodeling #ai #machinelearning #ml berryvilleiml…