According to ChatGPT, Software Composition Analysis that can identify snippets and human oversight is necessary to ensure that the AI-generated code is in compliance with licensing requirements and copyright laws.
We are considering adding an AI-based solution like GitHub Copilot or ChatGPT to our software development process, but we are worried about the risks that AI-based solutions pose: Specifically their use of snippets of code from multiple sources without regard to attribution and other license requirements .
Should I integrate Software Composition Analysis tools in my software development lifecycle that can identify snippets and their corresponding license and copyright information in order to mediate the risks associated with autogenerated code from AI based solutions?
Yes, it’s highly recommended to use Software Composition Analysis (SCA) tools in your software development lifecycle that can identify snippets and their corresponding license and copyright information to mitigate potential copyright infringement and other risks associated with autogenerated code from AI-based solutions.
SCA tools can scan and analyze the codebase to identify all third-party components, libraries, and snippets used in the code, along with their respective license and copyright information. This information can then be used to ensure compliance with licensing requirements and to avoid copyright infringement.
By integrating SCA tools into your development process, you can identify potential risks early on and take necessary steps to mitigate them. This can help you avoid legal liabilities, ensure compliance, and maintain the reputation of your organization. It’s also important to note that the use of AI-based solutions like GitHub Copilot or ChatGPT should be treated as a tool to assist in the development process, and not as a replacement for human developers or legal experts. Human oversight is necessary to ensure that the AI-generated code is in compliance with licensing requirements and copyright laws.