A Framework for Identifying, Categorizing, and Explaining Bias in AI-Generated Code

arXiv:2609.30642 · cs.SE, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.SE, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Alignment — 21× in this paper · explained in 1 episode
• Accuracy — 20× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Explainability — 9× in this paper · explained in 3 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Accountability — 5× in this paper · explained in 2 episodes
• In-Context Learning — 5× in this paper · explained in 4 episodes
• Large Language Models — 5× in this paper
• Grounding — 4× in this paper · explained in 3 episodes
• Natural Language Processing — 3× in this paper
• Prompt Engineering — 3× in this paper · explained in 4 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Causal Reasoning — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Decision-Support Tool — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Human-in-the-Loop — 2× in this paper · explained in 3 episodes
• In-Context Learning (ICL) — 2× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Structured Reasoning — 2× in this paper · explained in 3 episodes
• AI Foundation Model — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment Problem — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Annotation Ambiguity — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Code Bias Score — 1× in this paper
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning — 1× in this paper

Sources

• Phi-4 Technical Report
• Human-AI Collaboration and the Transformation of Software Engineering Work
• Qwen3-Coder-Next Technical Report
• DeepSeek-V3 Technical Report
• Inherent Trade-Offs in the Fair Determination of Risk Scores
• Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

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