Scholarlink

This chapter, “Quality Assurance Framework for AI Ethics by Design,” explores the systematic integration of ethical principles into the AI development lifecycle through a robust Quality Assurance (QA) framework. The chapter emphasizes the importance of embedding ethical considerations—such as fairness, accountability, transparency, privacy, and societal alignment—into every stage of AI development, from design to post-deployment. It introduces key methodologies, tools, and best practices for implementing QA tailored to AI ethics, highlighting the role of continuous monitoring, interdisciplinary collaboration, and adherence to global standards. The chapter also examines case studies, challenges, and opportunities in scaling QA processes for large AI systems, while discussing emerging trends like autonomous QA systems, blockchain-based assurance, and global harmonization of AI ethics standards.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quality Assurance Framework for AI Ethics by Design

  • 章节

  • 发表日期：

    2026年

查看全文
  • Muthu Ramachandran

摘要

This chapter, “Quality Assurance Framework for AI Ethics by Design,” explores the systematic integration of ethical principles into the AI development lifecycle through a robust Quality Assurance (QA) framework. The chapter emphasizes the importance of embedding ethical considerations—such as fairness, accountability, transparency, privacy, and societal alignment—into every stage of AI development, from design to post-deployment. It introduces key methodologies, tools, and best practices for implementing QA tailored to AI ethics, highlighting the role of continuous monitoring, interdisciplinary collaboration, and adherence to global standards. The chapter also examines case studies, challenges, and opportunities in scaling QA processes for large AI systems, while discussing emerging trends like autonomous QA systems, blockchain-based assurance, and global harmonization of AI ethics standards.