Mel AndrewsUniversity of Cincinnati | UC · Department of Philosophy
Mel Andrews
Doctor of Philosophy
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8
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Introduction
Skills and Expertise
Publications
Publications (8)
Fairness metrics are a core tool in the fair machine learning literature (FairML), used to determine that ML models are, in some sense, ``fair ''.Real-world data, however, are typically plagued by various measurement biases and other violated assumptions, which can render fairness assessments meaningless. We adapt tools from causal sensitivity anal...
The bigger picture
Machine learning has a pseudoscience problem. An abundance of ethical issues arising from the use of machine learning (ML)-based technologies—by now, well documented—is inextricably entwined with the systematic epistemic misuse of these tools. We take a recent resurgence of deep learning-assisted physiognomic research as a case s...
This paper contends with the widespread belief that the methods of machine learning (ML) have the capacity to radically disrupt the nature of scientific knowledge or practice on the grounds that these methods enable a form of theory-free inductive inference. Such views about scientific ML flow directly from what I term a theory-free ideal in scienc...
The principal target of this article is the reification Bruineberg et al. perceive of formalism within the literature on the variational free energy minimisation (VFEM) framework. The authors do not provide a definition of reification, as none yet exists. Here I offer one. On this definition, the objects of the authors’ critiques fall short of full...
The free energy principle (FEP) has seen extensive philosophical engagement— both from a general philosophy of science perspective and from the perspective of philosophies of specific sciences: cognitive science, neuroscience, and biology. The literature on the FEP has attempted to draw out specific philosophical commitments and entailments of the...
What does a generalization of evolutionary theory entail? Does such a theory exist in consensus use amongst biologists and philosophers of biology? The phrasing of the conference title itself suggests a positive reply. The conference, which took place from January 31st to February 3rd, 2018, at the Center for Logic and Philosophy of Science, Heinri...
This paper presents an introductory overview of a novel mathematical model of life and mind: the free energy principle. While extensions of the predictive and explanatory capacity of this framework continue to rapidly gain momentum, the details of the mathematical formalism—and what uses it may hold for philosophers and scientists—remain enigmatic...