Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

The word “privilege” has become a part of our everyday conversations. However, it is not evident whether the various interlocutors in discussions on privilege are using it in the same sense. While different instances of privilege like white, male, or caste privilege have been discussed in contemporary academic discourses, we believe there is a lack of clarity regarding the notion of privilege. We critically analyse existing accounts of privilege to show that they leave some room for improvement. We offer an (...) alternative account of privilege as “entitlements that fail to track deserts” that circumvents prevalent definitional ambiguities and emphasises the inherent undeserving nature of privilege. The hitherto underexplored links between privileges, deserts, entitlements, and rights can help us formulate a more accurate grasp of privilege. (shrink)

The current discourse on moral epistemology (ME), has hardly paid any attention to the question concerning the demarcation of the domain of ME within epistemology. Neither is the subject matter of ME considered unique, nor is the methodology adopted in its investigations considered distinct. We attempt to show in this paper that this omission does not restrict itself to a mere taxonomical oversight but rather leads to certain deeper conceptual concerns. We argue that a casual and porous understanding of the (...) subject matter of ME is the result of conflating moral beliefs and justification with non-moral beliefs and justification. If ME doesn't merit a clear demarcation within epistemology, then the very legitimacy of ME is brought under a cloud, thereby threatening the distinction between ethics and epistemology. We believe G. E Moore foresaw this predicament and our interpretation of his work could offer a possible solution. (shrink)