Ramón Alvarado
Biographic Data
| ID | 3650653 |
|---|---|
| NAME | Ramón Alvarado |
| GIVEN NAMES | Ramón |
| FAMILY NAME | Alvarado |
| SIGNATURE | ALVARADO R |
| AFFILIATIONS | University of Oregon |
| ORCID | 0000-0002-0028-4192 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 12 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
What is epistemic loneliness
AI as an Epistemic Technology
Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI
The sudden rise in the ability of machine learning methodology, such as deep neural networks, to identify and predict with great accuracy instances of malignant cell growth from radiological images has led prominent developers of this technology, such as Geoffrey Hinton, to hold the view that “[...] we should stop training radiologists.” Similar views exist in other contexts regarding the replacement of humans with artificial intelligence (AI) te…
Epistemic injustice and data science technologies
Can we trust Big Data? Applying philosophy of science to software
We address some of the epistemological challenges highlighted by the Critical Data Studies literature by reference to some of the key debates in the philosophy of science concerning computational modeling and simulation. We provide a brief overview of these debates focusing particularly on what Paul Humphreys calls epistemic opacity. We argue that debates in Critical Data Studies and philosophy of science have neglected the problem of error manag…
Can we trust Big Data? Applying philosophy of science to software
We address some of the epistemological challenges highlighted by the Critical Data Studies literature by reference to some of the key debates in the philosophy of science concerning computational modeling and simulation. We provide a brief overview of these debates focusing particularly on what Paul Humphreys calls epistemic opacity. We argue that debates in Critical Data Studies and philosophy of science have neglected the problem of error manag…
Epistemic injustice and data science technologies
Can we trust Big Data? Applying philosophy of science to software
We address some of the epistemological challenges highlighted by the Critical Data Studies literature by reference to some of the key debates in the philosophy of science concerning computational modeling and simulation. We provide a brief overview of these debates focusing particularly on what Paul Humphreys calls epistemic opacity. We argue that debates in Critical Data Studies and philosophy of science have neglected the problem of error manag…
Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI
The sudden rise in the ability of machine learning methodology, such as deep neural networks, to identify and predict with great accuracy instances of malignant cell growth from radiological images has led prominent developers of this technology, such as Geoffrey Hinton, to hold the view that “[...] we should stop training radiologists.” Similar views exist in other contexts regarding the replacement of humans with artificial intelligence (AI) te…
Epistemic injustice and data science technologies
AI as an Epistemic Technology
What is epistemic loneliness
Epistemology (4 works) · Philosophy (4 works) · Philosophy of science (4 works) · Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Epistemology, Ethics, and Metaphysics (2 works) · Ethics and Social Impacts of AI (2 works) · Feminist Epistemology and Gender Studies (2 works) · Metaphysics (2 works)