In this stage, we still have a lot of work ahead of us: We need to familiarize ourselves with this technology, we need to train the AI to recognize specific types of handwriting, and we have to develop new, appropriate methodologies for our field. Thanks to the development of the so-called “handwritten text recognition” (HTR), these texts will soon be made searchable and readable much faster than ever before. Traditionally, reading these manuscripts requires a lot of training in palaeography and – even more importantly – time. These contain often unknown texts written in complicated scripts. It is therefore no surprise that AI is making its way into the field of medieval studies and it comes with a huge promise: There are hundreds of thousands of medieval manuscripts in libraries and archives. Even this very blog post you are reading, was written in a new text editor (LEX) that allowed me to write it more quickly, efficiently and with better English than I – a non-native speaker – would have (but it was still corrected by my kind human colleagues at the institute). We can use it to generate surprisingly high-quality images (e.g., Stable Diffusion), it helps us with text translation (DeepL), we can chat with it (ChatGTP), or use it to create computer code based on our requests (GitHub Copilot). Instead of something that was more experimental or reserved for an academic or big business environment, it is slowly making its way to us, the everyday users. In the last few years, huge strides have been made in artificial intelligence. Janu| Jan Odstrčilík | Historical Identity Research Blog
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