The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing

The inability to update training data in real-time also poses concerns regarding the potential inclusion of outdated information [4], particularly in rapidly evolving fields. [...]exercising caution when considering outputs from these models is crucial, as they may encompass inaccuracies, fabrications (e.g. erroneous references), and potential instances of plagiarism [5]. [...]their use could warrant disclosure to ensure transparency and ethical reporting [8]. [...]policies may serve to mitigate the risk of the echo chamber effect, where biases in AI-assistance tools might go unnoticed if reviewers rely on the same tools for evaluation (Table 1).