Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

Researchers and practitioners are increasingly using machine-generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

The structuralist Andre-Weil–Claude-Levi-Strauss transformation formula (CF), initially applied to kinship systems, mythology, ritual, artistic design and architecture, was rightfully criticized for its rationalism and tendency to reduce complex transformations to analogical structures. I present a revised non-mathematical revision of the CF, a general transformation formula (rCF) applicable to networks of complementary semantic binaries in conceptual value-fields of culture, including comparative religion and mythology, ritual, art, literature and philosophy. The rCF is a rule-guided formula for combinatorial conceptualizing in non-representational, presentational mythopoetics (...) and other cultural symbolizations. I consider poststructuralist category-theoretic and algebraic mathematical interpretations of the CF as themselves only mathematical analogies, which serve to stimulate further revision of the logic model of the rCF. The rCF can be used in hypothesis-making to advance understanding of the evolution and prehistory of human symbolic behaviour in cultural space, philosophical ontologies and categories, definitions and concepts in art, religion, psychotherapy, and other cultural-value forms. (shrink)

Roy Harrod; III—The General Structure of Inductive Argument, Proceedings of the Aristotelian Society, Volume 61, Issue 1, 1 June 1961, Pages 41–56, https://doi.

Though the early church practiced almsgiving as a normative act of piety its role as a formative spiritual discipline has been largely ignored in contemporary evangelical works on the disciplines. In this article, I argue that intentional and real care for the poor, though rarely mentioned today as a formative practice in evangelical circles, ought to be included in normative discussions of the spiritual disciplines.

It is the purpose of the following pages to reconsider the basic problem of induction. According to Hume the concomitance of A with B on one or more occasions gives no valid presumption that A will be accompanied by B on any other occasion. The data of experience may give rise to an association of ideas or set up mental habits, but they provide no reasonable grounds for expecting similar concomitances or sequences in future. If this is correct, we have (...) no starting point for the formation of any valid opinions about matters of fact; we remain ice-bound in a region of total scepticism. (shrink)

The late Professor J. L. Austin was a man of the highest character and considerable intellectual ability. Those who heard him lecture testify that he made a strong and deep impression. He seemed to be completely master of his subject, his mind moved with great rapidity and he manifested a rare integrity of spirit. His death in early middle age is not only mourned by his colleagues; it is one of those events that make a deep gash, causing people to (...) wonder why things are sometimes arranged so perversely in this world. He had so much to give. (shrink)