I am sourcing expert commentary for an upcoming feature on how to responsibly use AI when coding. We are looking for experienced software engineers and developers to help define the ethical and professional standards for AI in modern workflows. We are seeking genuine professional perspectives. Please include a LinkedIn profile link for verification and a professional email address for follow-up. We may contact you directly to confirm authorship before publication. Questions: - How should developers define "original work" today? Is there an obligation to disclose when AI generates significant portions of code? - What does a responsible security audit look like for AI-generated code versus human-written code? - How can engineers mitigate automation bias and maintain healthy skepticism of AI-suggested logic? - What are best practices to ensure AI-generated snippets don’t introduce licensing or copyright risks into proprietary projects? - Should responsible use include being mindful of the environmental and compute costs of using LLMs for simple tasks? - When AI-assisted code fails in production, how should a team’s accountability framework handle responsibility?