AI Code Checker

Use code checker to detect AI generated code, collusion and plagiarism

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CodeChecker

Why use AI Aware’s Code Checker?

Code Checker uses a proprietary and unique approach to AI code detection, collusion and plagiarism

AI code detection

Code Checker uses a unique and robust model, developed by computer scientists from the University of London, for detecting the use of AI in generating code. It also detects if code was copied so that you know exactly how your code was created.

With the sophistication of AI for generating code expanding, knowing what’s in your code and where it comes from is increasingly important. This will become even more of an issue with future advances in AI such as Chat GPT 5.

Academic compliance for educational institutions

Use Code Checker to check for collusion amongst students. Check up to 500 code coursework submissions against each other.

Detect plagiarism by identifying code copied from publicly available sources and AI-generated code, even if it has been manipulated by the student.

LLM generated code is more likely to have security vulnerabilities

Benchmarking by Meta involving seven models from the Llama2, codeLlama, and OpenAI GPT large language model (LLM) families, has demonstrated that AI generated code is more likely to contain security vulnerabilities.1

Additionally, large scale empirical research over AI training sets has found problems such as undefined variables and dangerous functions that leak into generative AI coding output for both
open-source (GPT-CC) and closed-source (GitHub Copilot)
code generation tools2.

Code Checker identifies AI generated code to assist with identifying these problems of cybersecurity risks and poorly written code.

Copyright and IP issues for companies

AI generated code is not copyrightable which risks IP protection for companies. If the models used to train AI to create code have been built with your rivals code and AI is then used for your code, you could be exposed to IP infringement. There is a more direct threat with plagiarism, which Code Checker also checks for.

Code Checker visualises plagiarism and AI creation. It highlights potentially AI generated, plagiarised and paraphrased code, making it easy for you to identify it and quantify the issues contextually.

Detect AI code and plagiarism across multiple coding languages

All major coding languages supported including, CSS, C++, C, C#, JavaScript, Java Markdown, Python,, and PHP, Ruby, TypeScript

Code Checker is a market-leading AI-generated code & plagiarism detection tool

AI Aware has built it’s AI code detection systems using a combination of innovative data science techniques and large scale machine learning to identify the differences between AI-generated and human written code for use by companies and educational institutions.

With Code Checker, educational establishments can check up to 500 student coding project submissions against each and compare student coding with external source to check for plagiarism.

Why Choose AI Aware?

We were founded with City University data scientists and have over 15 years of experience with AI. We are building complex and adaptive AI detection models to increase transparency and trust in Artificial Intelligence.

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  1. Meta, Dec, 2023 – Benchmarking Cybersecurity risks of Large Language Models ↩︎
  2. Siddiq et al – An Empirical Study of Code Smells in Transformer-based Code Generation Techniques. ↩︎