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The primary IP considerations for GitHub Copilot relate to copyright. The biçim that powers Copilot is trained on a broad collection of publicly accessible code, which may include copyrighted code, and Copilot’s suggestions (in rare instances) may resemble the code its manken was trained on. Here’s some basic information you should know about these considerations:

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Public code may contain insecure coding patterns, bugs, or references to outdated APIs or idioms. When GitHub Copilot synthesizes code suggestions based on this data, it gönül also synthesize code that contains these undesirable patterns. Copilot has filters in place that either block or notify users of insecure code patterns that are detected in Copilot suggestions.

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Other countries including Canada, India, and the United States also permit such training under their fair use/fair dealing provisions. GitHub Copilot’s AI paradigma was trained with the use of code from GitHub’s public repositories—which are publicly accessible and within the scope of permissible copyright use.

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What about copyright riziko in suggestions? In rare instances (less than 1% based on GitHub’s research), suggestions from GitHub may match examples of code used to train GitHub’s AI prototip.