Say goodbye to tedious analysis tasks and increase your coding speed with our AI-driven assistance. We are proud to announce a groundbreaking step in the field of qualitative data analysis: AI Coding Beta – our new solution that makes full-automatic data coding a reality, fueled by OpenAI’s GPT model.
Gone are the days of countless hours spent manually coding data. With AI Coding Beta, ATLAS.ti offers the first AI assistance to automatically perform open and descriptive coding for your text material, saving you enormous amounts of time and energy. This way, you can focus on the important things – analysis and interpretation of your data for better and faster insights.
Maintain full control for optimized scientific accuracy
Think of it as your personal research assistant: AI Coding Beta generates fully automated code proposals while allowing you to review and refine results quickly – ensuring 100% transparency and human supervision.
Your key benefits:
Please note: AI Coding is currently in Beta. You may experience slower response times during that stage due to high demand. We're working hard to improve performance.
With our new slider control in ATLAS.ti Desktop, you can now customize the granularity of AI Coding results based on your specific needs. Get fewer, broader categories or more fine-grained, nuanced ones with just a click. View an interactive graph that visualizes your coding clusters for full transparency. Achieve the ideal balance of automatic support and human refinement.
At ATLAS.ti, we believe that AI will change how people approach data analysis, making it faster and more efficient than ever. As the first and only software provider in our sector, we have integrated and tailored OpenAI's GPT model, which is known for its ability to understand and interpret language at a human-like level.
OpenAI is considered one of the world's leading research organizations in artificial intelligence. Our experts have spared no time or effort to optimize the integration, providing astonishing results for our users. By leveraging OpenAI technology, we can ensure that your data will be coded accurately and efficiently.
Coming soon: In the near future, we will also allow you to work with your own code sets, making the solution even more powerful.
Designed for students, researchers, and businesses alike, ATLAS.ti makes data analysis easier and more accessible than ever before. We are excited to see the impact that AI Coding will have on the future of qualitative data analysis.
You can now try AI Coding Beta in our desktop apps on Windows and macOS or our Web version for browsers. Get started today!
Analyzing documents using inductive coding can be a daunting task. It takes a long time, and you need to keep an alert eye. Our AI-driven assistance helps you by automatically analyzing your texts. It breaks down your text into paragraphs, creates quotations from those paragraphs, and automatically applies inductive codes to every quotation.
After analysis, AI Coding provides an intuitive interface to review the codes, add or remove codes, remove quotations, or rename codes. All codes used in AI Coding can be found in the code group ‘AI Codes’ so you can easily continue your research.
If you do not use AI Coding, none of your data will be uploaded to OpenAI.
Before starting AI Coding, ATLAS.ti will ask for your consent before uploading data to servers by ATLAS.ti, as well as OpenAI servers.
ATLAS.ti has an opt-out agreement with OpenAI. This means your data will not be used for OpenAI model training. OpenAI will forget your data after AI analysis.
GPT models by OpenAI are highly advanced language models that have been designed to enable organizations and researchers to create innovative AI applications that are both safe and beneficial to humanity.
Here are some key facts about GPT by OpenAI:
GPT is a generative pre-trained transformer (GPT) that has been fine-tuned on a massive scale, using supervised and reinforcement learning algorithms to improve performance. This means that the models have been trained using both human trainers and advanced machine-learning techniques to enhance their language capabilities. The GPT models are designed to analyze text with high accuracy and have been trained using a large corpus of text created by humans. This ensures they can understand and process text in a way consistent with human thinking patterns.
OpenAI uses cutting-edge techniques such as reinforcement learning, deep learning, and transfer learning to train its models. These techniques are backed by rigorous scientific research and testing, ensuring the models are highly accurate and reliable.
Artificial intelligence and machine learning are rapidly evolving fields of study. OpenAI is constantly working to improve their Services to make them more accurate, reliable, safe and beneficial. Given the probabilistic nature of machine learning, the use of our services may in some situations result in incorrect output that does not accurately reflect real people, places, or facts. You should evaluate the accuracy of any output as appropriate for your use case, including by using human review of the output.
Please keep in mind that AI Coding uses artificial intelligence. Therefore, some safeguards need to be in place. For example, we might block the following types of content: hate, harassment, violence, self-harm, sexual, political, spam, deception, and malware.
Note that each time you use AI Coding, the results for automatically generated codes may differ for the same material. If you ask a human the same question twice, you will not get 100% mechanically similar results. AI Coding will also not give you 100% exactly the same results every time.
In some cases, GPT models encode social biases, e.g. via stereotypes or negative sentiment towards certain groups.
AI Coding proposes codes for the paragraphs in your texts. The results are based on "reading between the lines" in these paragraphs. AI Coding was tested on scientific texts, closed and open-ended interviews and delivered high-quality results. As a solution driven by artificial intelligence, AI Coding might produce bias, "hallucinations," and other undesired outputs. Check your results at the end of the analysis.
In the trial version, AI Coding is limited to 6000 to 12.000 words (depending on language and text formatting). To be able to perform AI Coding multiple times, we therefore recommend testing with documents under 500 words.