Fostering Honesty and Integrity in the Age of Gen-AI: Rethinking Ethical Scientific Attitudes in Science Education Research

Abstract

The rapid adoption of Gen-AI tools such as ChatGPT and Gemini in science education has created unprecedented opportunities for learning, while simultaneously threatening core ethical scientific attitudes. This conceptual paper examines how honesty and integrity, as foundational values in science, are being tested in an AI-mediated educational environment. The paper argues that the ease of fabricating data, generating lab reports, and obscuring AI use necessitates a rethinking of how ethical scientific attitudes are taught, assessed and modelled in science education research. Based on literature in science ethics and educational technology, a three-dimensional ‘‘AI Disclosure-Accountability Model’’ is proposed emphasizing truthfulness in reporting, transparency in AI use, and responsibility for verifying AI outputs. The paper further discusses pedagogical strategies, assessment redesigns, and institutional policies needed to foster honesty and integrity among students and researchers. It concludes that intentional cultivation of ethical attitudes is essential to preserve the credibility and integrity of science education in the age of Gen-AI