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http://dx.doi.org/10.2337/dc25-1985 | DOI Listing |
Diabetes Care
September 2025
Manchester Diabetes, Endocrine and Metabolism Centre, Manchester Royal Infirmary, Manchester University Hospitals National Health Service Foundation Trust, Manchester, U.K.
Behav Brain Sci
May 2024
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Jerusalem, Israel.
Identifying the conditions of proxy treadmilling is crucial for determining whether reliable signals can persist over time. I present a framework that maps evolutionary models of reliable signals according to their assumptions regarding the effects of Goodhart's law. This framework can explain the contrasting outcomes of different modelling approaches, and identify in which models proxy treadmilling is expected to occur.
View Article and Find Full Text PDFJ Comput Mediat Commun
July 2023
Department of Communication Studies, The University of Texas at Austin, Austin, TX, USA.
The future of work will be measured. The increasing and widespread adoption of analytics, the use of digital inputs and outputs to inform organizational decision making, makes the communication of data central to organizing. This article applies and extends signaling theory to provide a framework for the study of analytics as communication.
View Article and Find Full Text PDFBehav Brain Sci
June 2023
Institute for Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany.
When a measure becomes a target, it ceases to be a good measure. For example, when standardized test scores in education become targets, teachers may start "teaching to the test," leading to breakdown of the relationship between the measure - test performance - and the underlying goal - quality education. Similar phenomena have been named and described across a broad range of contexts, such as economics, academia, machine learning, and ecology.
View Article and Find Full Text PDFJ Chem Inf Model
July 2023
Iktos, 65 rue de Prony, 75017, Paris, France.
Generative models are being increasingly used in drug discovery, very often coupled with absorption, distribution, metabolism, and excretion (ADME) bioassays or quantitative structure-activity relationship (QSAR) models to optimize a given set of properties. The molecules proposed by these algorithms are often revealed to be false positives; that is, they are predicted to be active and turn out to be inactive after synthesis and testing, mostly due to overoptimization of the predicted scores, which leads to an actual decrease or stagnation of the real scores. This behavior is also known as the "hacking" of the predictive models by the generative model during the optimization step.
View Article and Find Full Text PDF