A RAD Approach to iBlastoids with a Moral Principle of Complexity

The reflexive, anticipatory, and deliberative (RAD) approach proposed by Ankeny, Munsie, and Leach (2022) to iBlastoids, while worthwhile, requires an anchor to ensure that each process of its approach has sufficiently been undertaken. Otherwise, the reflections, anticipations, and deliberations may veer off course or finish prematurely. We suggest anchoring the RAD approach to a moral principle of complexity; the more ontologically and epistemologically complex the (current or potential) organoid-entity, the greater the moral consideration is needed regarding that entity. Building on Preiser and Cilliers (2010), the complexity of an organoid-entity can have two key elements; the features and functions of the organoid-entity (ontological complexity), and at the same time the function of our present understanding of the organoid-entity (epistemological complexity). The greater degree of these complexities, the greater the need for the RAD approach to focus on these elements—lest we overlook a potentially morally salient feature, function, or piece of knowledge. For example, reflections, anticipations, and deliberations probably do not need to be as robust with gut organoids as they perhaps ought to be with brain organoids, iBlastoids, or multicellular engineered living systems (MCELS) (Sample et al. 2019). This is at least in part because organoid-entities such as brain organoids, iBlastoids, or M-CELS, possess a degree of complexity that exceeds that of a gut organoid. Furthermore, there are elements of their complex features and functions which may be deemed as morally salient. Thus, the RAD processes would require further time and focus in order to address such features, functions, and present understandings. Previous iterations of responsible research innovation (RRI) frameworks place their focus on better understanding motivations, social dimensions, public engagement, applications, or risk-benefit analysis (Stilgoe, Owen, and Macnaghten 2013; Owen and Pansera 2019). This appears to be a similar focus for the RAD approach. Our suggestion of adding organoidentity complexity as a key area of the RAD approach focus should not be taken as a rejection of the previous focuses of these frameworks. Rather, it ought to be taken as a needed complementary focus or anchor for these approaches. Focusing the RAD processes (or indeed any RRI process) solely on an organoid-entity’s complexity would be a grave error. But ignoring it for other focuses would also be a mistake. What, then, does a RAD approach with an anchor in complexity look like for organoid-entities? It would be quite similar to the RAD approach prescribed by Ankeny et al. The processes of the RAD approach would be the same. Indeed, we agree very much with the processes described and believe them to be worthwhile. But the complexity of an organoid-entity would be an additional key focus in each of the methods of the RAD approach as developed by Ankeny et al. Here we provide some basic definitions of the RAD processes based on the definitions provided by Ankeny et al. (2022). Anticipation on organoid-entity complexity, therefore, involves developing systematic thinking about the opportunities and risks in further developing the features, functions, or working knowledge of an organoid-entity. Reflexivity on organoid-entity complexity involves a combination of practices of reflection and critical imagination on the features, functions, or working knowledge of an organoid-entity. The aim is to improve the researchers’ abilities to anticipate