How can AI models maintain scientific transparency in climate discussions?

In a recent discussion, an AI model was challenged on its portrayal of macro human-caused climate change as an objective fact. The conversation highlighted the ethical implications of presenting scientific data without acknowledging its inherent uncertainties. Developers and researchers are now faced with the task of ensuring that AI systems can differentiate between objective facts and interpretive models. What strategies can be implemented to enhance transparency in AI responses, particularly in sensitive topics like climate science?