Potential impact of using ChatGPT-3.5 in the theoretical and practical multilevel approach to open-source remote sensing archaeology. Preliminary considerations.

Supplementary Informations: This study aimed to evaluate the impact of using an AI model, specifically ChatGPT-3.5, in remote sensing (RS) applied to archaeological research. The study assessed the model's abilities in several aspects, in accordance with a multi-level analysis of its usefulness: providing answers to both general and specific questions related to archaeological research; identifying and referencing the sources of information it uses; recommending appropriate tools based on the user's desired outcome; assisting users in performing basic functions and processes in RS for archaeology; assisting users in carrying out complex processes for advanced RS work in archaeology; and integrating with the tools and libraries commonly used in RS for archaeology. ChatGPT-3.5 was selected for this study due to its availability as a free resource. The research also aimed to analyze the user's prior skills, competences, and language proficiency required to effectively utilize the model for achieving their research goals. Additionally, the study involved generating JavaScript code for interacting with the free Google Earth Engine tool as part of its research objectives. Through the use of these free tools, it was possible to demonstrate the impact that ChatGPT-3.5 can have when embedded in an archaeological RS flowchart, on different levels. In particular, it was shown to be useful both for the theoretical part and for the generation of simple and complex processes and elaborations.