  This article examines the advantages and disadvantages of Large Language
Models (LLMs) and Artificial Intelligence (AI) in research and education and
proposes the urgent need for an international statement to guide their
responsible use. LLMs and AI demonstrate remarkable natural language
processing, data analysis, and decision-making capabilities, offering potential
benefits such as improved efficiency and transformative solutions. However,
concerns regarding ethical considerations, bias, fake publications, and
malicious use also arise. The objectives of this paper are to critically
evaluate the utility of LLMs and AI in research and education, call for
discussions between stakeholders, and discuss the need for an international
statement. We identify advantages such as data processing, task automation, and
personalized experiences, alongside disadvantages like bias reinforcement,
interpretability challenges, inaccurate reporting, and plagiarism. Stakeholders
from academia, industry, government, and civil society must engage in open
discussions to address the ethical, legal, and societal implications. The
proposed international statement should emphasize transparency, accountability,
ongoing research, and risk mitigation. Monitoring, evaluation, user education,
and awareness are essential components. By fostering discussions and
establishing guidelines, we can ensure the responsible and ethical development
and use of LLMs and AI, maximizing benefits while minimizing risks.
