Generative AI detection

Detect AI generated content

Here’s a demo of a generative AI detector. This tool only covers very short documents, but if you’d like to run a more thorough analysis, please get in touch.

This tool attempts to detect signs that a document has been written by a generative AI model such as ChatGPT, GPT-3, BARD or similar.

You can try the API in the browser:

Breaking the Ice: Your Guide to Contributing to Open Source Projects

Feeling a bit intimidated by the thought of stepping into the world of open source contributions? You're not alone! Many developers, even experienced ones, hesitate to take that first step. But here's the secret: you don't have to be a seasoned expert to make a difference.

Here are some tips to guide you through the process:

1. Start Small, Think Big:

Don't feel pressured to tackle the most complex issues right away. Look for smaller tasks that align with your skills and interests.
These could be fixing typos in documentation, improving code readability, or adding simple features that haven't been prioritized yet.
Remember, every contribution, no matter how small, adds value to the project.
2. Find Your Niche:

Choose a project that aligns with your passions and expertise. This engagement will fuel your motivation and make the learning curve more enjoyable.
Explore projects you already use and appreciate, or discover new ones that pique your curiosity.
3. Embrace the Learning Curve:

Contributing to open source is a fantastic way to learn and grow as a developer.
Don't be afraid to dive into unfamiliar codebases. Take your time, explore, and don't hesitate to ask questions if you get stuck.
Even experienced contributors started as beginners—everyone's been there!
4. Embrace Imperfection:

Your first contribution might not be perfect, and that's perfectly okay!
The open source community values learning and collaboration. Experienced developers are often happy to provide feedback and guidance to help you improve.
Be open to constructive criticism and use it as an opportunity to learn and refine your skills.
5. Celebrate the Wins:

Every contribution, no matter how small, is a victory. Take pride in your accomplishments and celebrate your progress.
Each contribution builds your confidence and skills, paving the way for even greater contributions in the future.
Remember: Open source communities thrive on diversity and inclusivity. Your unique perspective and skills are valuable, so don't be afraid to share them with the world. Take that first step, start small, and watch your contributions grow alongside your confidence. Together, we can shape the future of open source, one contribution at a time!

Results appear below. Green means that a word is likely not AI generated, red means it is probably AI generated, and orange means that the word could have been AI generated but it's not the top choice of our AI in that context.

Results

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Generative AI and stylometry analysis

Analyse documents

Accused of cheating, plagiarism, or using Generative AI or GPT for an assignment? Do you have a legal dispute over authorship?

Is it possible to prove whether a document was written by AI?

It’s not possible to prove unequivocally whether a person used generative models to write a document. However, we can look at the content of the document and check what a generative model such as GPT-4 would predict as the next word given the preceding tokens, and what probability it would assign to the words that actually appear in the document.

We can quantify how surprised a generative model would be if it saw the document under investigation, and use this to derive a probability that the document was authored by an AI. This measurement of the degree of surprise is called perplexity.

Can you prove authorship of a document?

For cases of disputed authorship among humans, where parties dispute who wrote a document, we can perform a stylometric analysis. This field is known as forensic stylometry. You can try a similar demo of a trained forensic stylometry model using the Burrows' Delta algorithm.

Expert advisor and expert witness reports

Thomas Wood undertakes expert witness and expert advisor engagements for clients in the area of text analysis. Recent engagements include a civil dispute over authorship of documents in the legal sphere by a multinational accountancy firm.

Detecting generative AI texts using Faststylometry library

In 2024, Stefan Björk-Olsén experimented with our open source Faststylometry Python library on detecting AI-generated texts:

Björk-Olsén, Stefan, Detektering av genererade texter: Stilometri - Är språkmodeller för genomsnittliga?, Bachelors thesis (2024)