About the AIC AI Chatbots Attribution
AIC AI Chatbots Attribution
Attribution can be used by individuals (authors, social media users, etc.) and legal entities (publishers, academic and educational institutions, etc.) under the terms and conditions of copyright law.
Terms and conditions for the AIC AI Chatbots attribution using:
1. Correctly selecting the AIC AI Chatbots Attribution (AIC “AI Chatbot Text” / AIC “AI Chatbot Image” / AIC “AI Chatbot Video” / etc.) option with a hyperlink to the website with the Terms and the Disclaimer.
2. Correctly citing the source (reference) in accordance with the copyright and license.
3. Specifying the Chatbot(s) used that legitimately allow others to remix and transform material.
2. Correctly citing the source (reference) in accordance with the copyright and license.
3. Specifying the Chatbot(s) used that legitimately allow others to remix and transform material.
The AIC AI Chatbots platform is intended to provide legitimacy for the use of AI-based Chatbots in academic research and publications, as well as a variety of practical activities in accordance with the ethical and legal standards of copyright law.
Options for the AIC AI Chatbots Attribution
The AIC AI Chatbots has 3 basic types of attribution:
AIC “AI Chatbot Text” Attribution has 41 specific types, which are mainly used in scientific publications to specify the contribution and role of the author(s) and Chatbot(s) to the manuscript.
In this attribution, the word “Text” is replaced by letters indicating the specific section of the manuscript where the Chatbot(s) were used. Authors or Publishers are encouraged to implement the manuscript section classification using this attribution type.
For example:
A – Study design;
B – Data collection;
C – Statistical analysis;
D – Data interpretation;
E – Manuscript preparation;
F – Literature search.
The letter designation is arranged alphabetically in AIC AI Chatbot Attribution: A, B, C, etc.
Selection of the AIC AI Chatbots Attribution
44 types of the AIC AI Chatbots Attribution allow users to select the most appropriate option.
