A conversation with ChatGPT on contentious issues in senescence and cancer research.

Artificial Intelligence (AI) platforms such as Generative Pre-trained Transformer (ChatGPT) have achieved a high degree of popularity amongst the scientific community due to their util-ity in providing evidence-based reviews of the literature. However, the accuracy and reliability of the information output and the ability to provide critical analysis of the literature, espe-cially with respect to highly controversial issues, has generally not been evaluated. In this work, we arranged a Q/A session with ChatGPT regarding several unresolved questions in the field of cancer research relating to Therapy-Induced Senescence (TIS) including the topics of senescence reversibility, its connection to tumor dormancy, and the pharmacology of the newly emerging drug class of senolytics. ChatGPT generally provided responses consistent with the available literature, while occasionally overlooking essential components of the cur-rent understanding of the role of TIS in cancer biology and treatment. While ChatGPT, and similar AI platforms, have utility in providing an accurate evidence-based review of the liter-ature, their outputs should still be considered carefully, especially with respect to unresolved issues in tumor biology. Significance Statement Artificial Intelligence platforms have provided great utility for researchers to investigate the biomedical literature in a prompt manner. However, several issues arise when it comes to certain unresolved biological questions, especially in the cancer field. This work provided a discussion with ChatGPT regarding some of the yet to be fully elucidated conundrums of the role of Therapy-Induced Senescence in cancer treatment and highlights the strengths and weaknesses in utilizing such platforms for analyzing the scientific literature on this topic.