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In AI research and practice, rigor remains largely understood in terms of methodological rigor — such as whether mathematical, statistical, or computational methods are correctly applied. We argue that this narrow conception of rigor has contributed to the concerns raised by the responsible AI community, including overblown claims about AI capabilities. Our position is that a broader conception of what rigorous AI research and practice should entail is needed. We believe such a conception — in addition to a more expansive understanding of (1) methodological rigor — should include aspects related to (2) what background knowledge informs what to work on (epistemic rigor); (3) how disciplinary, community, or personal norms, standards, or beliefs influence the work (normative rigor); (4) how clearly articulated the theoretical constructs under use are (conceptual rigor); (5) what is reported and how (reporting rigor); and (6) how well-supported the inferences from existing evidence are (interpretative rigor). In doing so, we also aim to provide useful language and a framework for much-needed dialogue about the AI community’s work by researchers, policymakers, journalists, and other stakeholders. 

The Malagasy species of Casearia Jacq. (Salicaceae) have no modern taxonomic treatment and present particular difficulties due to their similar flowers. Twentieth-century authors have adopted overly lumping classifications featuring broad circumscriptions of C. nigrescens Tul. Perrier de la Bâthie published three varieties within C. nigrescens sensu Tulasne: varieties onivensis H. Perrier, ovata H. Perrier, and subtrinervia H. Perrier. All of these are from eastern humid forests, farther inland and at higher elevations than is typical of variety nigrescens s. str. Study of the available specimens indicates that all are sufficiently distinct from variety nigrescens that they should be elevated to the rank of species. They are herein recognized as C. onivensis (H. Perrier) Ang. X. Wang & Philpott, C. angustifructa Ang. X. Wang & Appleq., and C. subtrinervia (H. Perrier) Ang. X. Wang & Appleq., respectively. All are rarely collected, and preliminary assessment of their conservation status suggests that all three are Endangered.