The Double-Edged Sword of AI in Security Reporting

This chapter discusses the pitfalls of using AI for security issue submissions in software development, particularly the misleading nature of AI-generated bug reports. It highlights the necessity of human oversight to ensure quality and accuracy, as well as the challenges that arise in distinguishing genuine reports from flawed AI outputs. The chapter also addresses the responsibilities of platforms like GitHub in managing AI-related submissions and the need for tools to enhance report quality.