arXiv:2505.01514cs.CRcs.AI2025-05被引 1

AI驱动的语音系统需融合安全、合规与伦理,构建可信交互新防线。

Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration

  • 提出融合敏捷安全、数据合规与用户伦理的治理框架
  • 强调隐私设计与透明性,提升系统抗风险能力
  • 适合关注AI语音服务安全与合规的开发者及管理者

通信系统的快速数字化使交互式语音应答(IVR)成为客户互动的关键接口。随着人工智能(AI)驱动平台的发展,确保系统安全、合规与伦理设计比以往更加重要。AI赋能的IVR利用自然语言处理(NLP)和机器学习(ML)实现个性化交互、自动化服务与体验优化,但同时也面临数据隐私泄露、决策黑箱化及模型安全漏洞等风险。本文分析了从静态代码到自适应AI系统的IVR演进过程,提出以网络安全为中心的治理框架,整合敏捷安全原则、全球数据法规合规要求与用户导向伦理规范。通过隐私优先设计、动态风险建模与透明机制,论证伦理集成不仅是功能特性,更是战略必需。在此多维度视角下,现代IVR可转型为智能、安全且可问责的数字前线,抵御新兴威胁并契合社会期待。

原文摘要 · Abstract (English)

The rapid digitalization of communication systems has elevated Interactive Voice Response (IVR) technologies to become critical interfaces for customer engagement. With Artificial Intelligence (AI) now driving these platforms, ensuring secure, compliant, and ethically designed development practices is more imperative than ever. AI-powered IVRs leverage Natural Language Processing (NLP) and Machine Learning (ML) to personalize interactions, automate service delivery, and optimize user experiences. However, these innovations expose systems to heightened risks, including data privacy breaches, AI decision opacity, and model security vulnerabilities. This paper analyzes the evolution of IVRs from static code-based designs to adaptive AI-driven systems, presenting a cybersecurity-centric perspective. We propose a practical governance framework that embeds agile security principles, compliance with global data legislation, and user-centric ethics. Emphasizing privacy-by-design, adaptive risk modeling, and transparency, the paper argues that ethical AI integration is not a feature but a strategic imperative. Through this multidimensional lens, we highlight how modern IVRs can transition from communication tools to intelligent, secure, and accountable digital frontlines-resilient against emerging threats and aligned with societal expectations.

AI语音安全治理伦理AI数据合规

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