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#theoryfreescience — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #theoryfreescience, aggregated by home.social.

  1. Miguel Afonso Caetano @[email protected] ·

    "This paper contends with the notion that the methods of machine learning (ML) are unique among the tools of science in enabling a form of theory-free inductive inference. I challenge these assertions of epistemic distinctness, attributing the prevalence of these views to an untenable conception of scientific objectivity: what I term a theory-free ideal, in homage to its normative counterpart. ML, as a formal method of induction, must rely on conceptual or theoretical resources to get inference off the ground. By means of two case studies, I argue that this theory-free ideal has a deleterious effect on the epistemic standing of ML-involving science."

    link.springer.com/article/10.1

    #ML #MachineLearning #Theory #Science #TheoryFreeScience #Epistemology #PhilosophyOfTechnology

    #ml #machinelearning #theory #science #theoryfreescience #epistemology
  2. Miguel Afonso Caetano @[email protected] ·

    "This paper contends with the notion that the methods of machine learning (ML) are unique among the tools of science in enabling a form of theory-free inductive inference. I challenge these assertions of epistemic distinctness, attributing the prevalence of these views to an untenable conception of scientific objectivity: what I term a theory-free ideal, in homage to its normative counterpart. ML, as a formal method of induction, must rely on conceptual or theoretical resources to get inference off the ground. By means of two case studies, I argue that this theory-free ideal has a deleterious effect on the epistemic standing of ML-involving science."

    link.springer.com/article/10.1

    #ML #MachineLearning #Theory #Science #TheoryFreeScience #Epistemology #PhilosophyOfTechnology

    #ml #machinelearning #theory #science #theoryfreescience #epistemology
  3. Miguel Afonso Caetano @[email protected] ·

    "This paper contends with the notion that the methods of machine learning (ML) are unique among the tools of science in enabling a form of theory-free inductive inference. I challenge these assertions of epistemic distinctness, attributing the prevalence of these views to an untenable conception of scientific objectivity: what I term a theory-free ideal, in homage to its normative counterpart. ML, as a formal method of induction, must rely on conceptual or theoretical resources to get inference off the ground. By means of two case studies, I argue that this theory-free ideal has a deleterious effect on the epistemic standing of ML-involving science."

    link.springer.com/article/10.1

    #ML #MachineLearning #Theory #Science #TheoryFreeScience #Epistemology #PhilosophyOfTechnology

    #ml #machinelearning #theory #science #theoryfreescience #epistemology
  4. Miguel Afonso Caetano @[email protected] ·

    "This paper contends with the notion that the methods of machine learning (ML) are unique among the tools of science in enabling a form of theory-free inductive inference. I challenge these assertions of epistemic distinctness, attributing the prevalence of these views to an untenable conception of scientific objectivity: what I term a theory-free ideal, in homage to its normative counterpart. ML, as a formal method of induction, must rely on conceptual or theoretical resources to get inference off the ground. By means of two case studies, I argue that this theory-free ideal has a deleterious effect on the epistemic standing of ML-involving science."

    link.springer.com/article/10.1

    #ML #MachineLearning #Theory #Science #TheoryFreeScience #Epistemology #PhilosophyOfTechnology

    #philosophyoftechnology #epistemology #theoryfreescience #science #theory #machinelearning
  5. Miguel Afonso Caetano @[email protected] ·

    "This paper contends with the notion that the methods of machine learning (ML) are unique among the tools of science in enabling a form of theory-free inductive inference. I challenge these assertions of epistemic distinctness, attributing the prevalence of these views to an untenable conception of scientific objectivity: what I term a theory-free ideal, in homage to its normative counterpart. ML, as a formal method of induction, must rely on conceptual or theoretical resources to get inference off the ground. By means of two case studies, I argue that this theory-free ideal has a deleterious effect on the epistemic standing of ML-involving science."

    link.springer.com/article/10.1

    #ML #MachineLearning #Theory #Science #TheoryFreeScience #Epistemology #PhilosophyOfTechnology

    #ml #machinelearning #theory #science #theoryfreescience #epistemology