Artificial Intelligence and Ethical Dilemma: Chat-GPT Uses' In Scientific Research

Abstract

This study examines the ethical implications and biases of using Chat-GPT in scientific research
and proposes a framework for fairness. The main question is whether a standardized framework can
address bias in Chat-GPT. Objectives include exploring ethical dilemmas and proposing a framework
for unbiased use. The research covers bias in training data, the applicability of ethical frameworks,
standardization challenges, and the impact of bias versus benefits of Chat-GPT.
Results show that training data and algorithms introduce biases, existing ethical frameworks have
limitations, and standardization is complex. Despite biases, Chat-GPT offers benefits, necessitating
ethical guidelines. Addressing bias requires frameworks, critical thinking, and continuous ethical
considerations.