8 citations · 13 across the 5 of their papers we have counts for
6 papers
The life cycle of scientific principles -- a template for characterizing physical principles
Radin Dardashti, Enno Fischer, Robert Harlander
Scientific principles can undergo various developments. While philosophers of science have acknowledged that such changes occur, there is no systematic account of the development o…
What should AI see? Using the Public's Opinion to Determine the Perception of an AI
Robin Chan, Radin Dardashti, Meike Osinski +7
Deep neural networks (DNN) have made impressive progress in the interpretation of image data, so that it is conceivable and to some degree realistic to use them in safety critical…
No-Go Theorems: What Are They Good For?
Radin Dardashti
No-go theorems have played an important role in the development and assessment of scientific theories. They have stopped whole research programs and have given rise to strong ontol…
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation
Robin Chan, Matthias Rottmann, Radin Dardashti +3
Neural networks for semantic segmentation can be seen as statistical models that provide for each pixel of one image a probability distribution on predefined classes. The predicted…
On the Empirical Consequences of the AdS/CFT Duality
Radin Dardashti, Richard Dawid, Sean Gryb +1
We provide an analysis of the empirical consequences of the AdS/CFT duality with reference to the application of the duality in a fundamental theory, effective theory and instrumen…
Hawking Radiation and Analogue Experiments: A Bayesian Analysis
Radin Dardashti, Stephan Hartmann, Karim P. Y. Thébault +1
We present a Bayesian analysis of the epistemology of analogue experiments with particular reference to Hawking radiation. First, we prove that such experiments can be confirmatory…