Diff-Based Tool Traces Line-Level Provenance of Human vs. AI Text Edits

A new approach uses diff-based analysis to track whether individual lines of text were written by a human or generated by an AI, specifically in contexts where agents iteratively edit documents. This provides granular provenance, making it easier to audit mixed human-AI contributions. The technique matters for maintaining transparency and accountability in AI-assisted writing workflows.

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