Intro to Security in AI system

随着AI系统在医疗、金融、交通、安全等关键领域的广泛应用，其安全性问题日益受到行业关注。JR Academy本次推出的主题公开课《AI系统中的安全性，你真的了解吗？》将围绕AI系统的核心安全议题展开，带你从技术与伦理两个维度，全面理解AI的“安全”内涵。 本次讲座将从“Security”和“Safety”的区别讲起，结合软件工程与AI工程的实际开发流程，逐步深入到AI系统设计中的关键安全问题，如数据隐私保护、模型鲁棒性、系统架构安全、攻击类型识别与防御策略等。课程也会探讨AI系统在面对法律法规、道德合规、以及实际部署中的系统性风险时应如何应对。 讲师将通过多个真实案例和当前前沿研究，引导听众思考：在日益复杂的AI环境下，系统如何自我防护？开发者如何在项目初期就考虑AI安全性？如何理解“AI合规”这一新兴概念，并将其转化为系统设计要素？ 本次活动特别适合AI/ML开发者、系统架构师、AI产品经理及对AI安全感兴趣的技术人员参加。如果你希望在未来的AI系统设计中占据先机，这将是一场极具价值的前沿分享。 As AI systems become integral to industries such as healthcare, finance, transportation, and public safety, the issue of AI security is more critical than ever. JR Academy's upcoming public lecture, *"Do You Really Understand the Security of AI Systems?"*, offers an in-depth exploration into the multi-layered concept of AI system safety—from both technical and ethical perspectives. The session will begin by distinguishing “Security” from “Safety” in the context of software and AI engineering. From there, it will dive into core areas of AI system risk, including data privacy, model robustness, secure system architecture, and common attack vectors such as adversarial inputs. The workshop will also address how AI systems can be aligned with regulatory compliance and ethical standards, especially in production-level deployments. Through real-world use cases and insights from cutting-edge research, the instructor will guide participants in thinking critically about AI self-defense, threat detection, and secure-by-design strategies. Attendees will gain clarity on emerging concepts like “AI Compliance” and how to incorporate them early in system development to avoid future risks. This session is ideal for AI/ML practitioners, software engineers, system architects, product managers, and anyone interested in building safe and responsible AI solutions. Whether you're developing, deploying, or designing AI-powered systems, this is a valuable opportunity to understand the foundational and evolving landscape of AI security.