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Review

A comprehensive analysis of security risks and productivity impacts of AI-generated code

Shehnila Zardari M. Osama S. Ammar Raazia Imran Reshamwala Ariba Siddiqui
Jun 2026 · AI and Ethics · Vol 6 · 0 citations · 49 references
Computer Science

TL;DR

This systematic literature review examines the dual nature of AI-generated code by analyzing peer-reviewed research to quantify productivity benefits and identify associated risks, and develops a taxonomy categorizing risks into three domains.

DOI Semantic Scholar
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