Artificial intelligence (AI) promises immense benefits across sectors, yet also poses risks from dual-use potentials, biases, and unintended behaviors. This paper reviews emerging issues with opaque and uncontrollable AI systems and proposes an integrative framework called violet teaming to develop reliable and responsible AI. Violet teaming combines adversarial vulnerability probing (red teaming) with solutions for safety and security (blue teaming) while prioritizing ethics and social benefit. It emerged from AI safety research to manage risks proactively by design. The paper traces the evolution of red, blue, and purple teaming toward violet teaming, and then discusses applying violet techniques to address biosecurity risks of AI in biotechnology. Additional sections review key perspectives across law, ethics, cybersecurity, macrostrategy, and industry best practices essential for operationalizing responsible AI through holistic technical and social considerations. Violet teaming provides both philosophy and method for steering AI trajectories toward societal good. With conscience and wisdom, the extraordinary capabilities of AI can enrich humanity. But without adequate precaution, the risks could prove catastrophic. Violet teaming aims to empower moral technology for the common welfare.

翻译：人工智能（AI）在各领域展现出巨大潜力，但也因双重用途、偏见及意外行为而带来风险。本文梳理了不透明且不可控AI系统引发的新问题，并提出一种名为"紫队测试"的综合性框架，旨在开发可靠且负责任的AI系统。紫队测试将对抗性漏洞探测（红队测试）与安全防护解决方案（蓝队测试）相结合，同时优先考虑伦理准则与社会效益。该方法源于AI安全研究，旨在通过设计阶段主动管理风险。本文追溯了从红队、蓝队及紫队测试向紫队测试的演进历程，随后探讨了如何运用紫队技术应对AI在生物技术领域的生物安全风险。后续章节整合法律、伦理、网络安全、宏观战略及行业最佳实践等多维度视角，阐述通过全面的技术与社会考量实现负责任AI落地的关键要素。紫队测试既提供了引导AI走向社会福祉的哲学理念，也给出了实践方法。凭借良知与智慧，AI的非凡能力可造福人类；但若缺乏足够审慎，其风险或将酿成灾难。紫队测试旨在赋能道德技术，促进公共福祉。