Could you tell if this article was written by AI?
Artificial intelligence has moved from the background of technology into the center of daily experience. It recommends the shows we watch, guides the routes we travel, translates the texts we send, and filters the information we see online. In a short time, AI has shifted from a hidden layer of technology to something we actively notice and interact with every day.
That same shift is now reshaping how data is generated and understood in science.
Research today produces more data than ever before, and AI offers powerful ways to make sense of it all. It reveals patterns, predicts outcomes, and accelerates discovery. But speed and scale alone do not guarantee reliability. To draw meaningful scientific conclusions, researchers need to trust the quality of the data behind AI outputs. That trust depends on transparency and reproducibility: knowing not just what the results are, but how they were produced.