Huiren Bai
Datos Biográficos
| ID | 8898347 |
|---|---|
| NOMBRE | Huiren Bai |
| NOMBRES | Huiren |
| APELLIDO | Bai |
| FIRMA | BAI H |
| AFILIACIONES | Zhejiang University |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 2 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
The Epistemology of Machine Learning
This paper argues that machine learning is a knowledge-producing enterprise, since we are increasingly relying on artificial intelligence. But the knowledge discovered by machine is completely beyond human experience and human reason, becoming almost incomprehensible to humans. I argue that standard calls for interpretability that focus on the epistemic inscrutability of black-box machine learning may be misplaced. The problems of transparency an…
Epistemic Injustice and Scientific Knowledge Distribution
This paper describes two kinds of epistemic injustice – discriminatory and distributive. The former is provided by Miranda Fricker; the latter is based on David Coady’s work which means unequal access to epistemic goods, especially knowledge. I will firstly identify distributive epistemic justice within an epistemic structure of society and discuss its basic principles for distributing knowledge. Then I will argue that there is Fricker’s discrimi…
Sin obras prominentes en esta página.
Epistemic Injustice and Scientific Knowledge Distribution
This paper describes two kinds of epistemic injustice – discriminatory and distributive. The former is provided by Miranda Fricker; the latter is based on David Coady’s work which means unequal access to epistemic goods, especially knowledge. I will firstly identify distributive epistemic justice within an epistemic structure of society and discuss its basic principles for distributing knowledge. Then I will argue that there is Fricker’s discrimi…
The Epistemology of Machine Learning
This paper argues that machine learning is a knowledge-producing enterprise, since we are increasingly relying on artificial intelligence. But the knowledge discovered by machine is completely beyond human experience and human reason, becoming almost incomprehensible to humans. I argue that standard calls for interpretability that focus on the epistemic inscrutability of black-box machine learning may be misplaced. The problems of transparency an…
Epistemology (2 obras) · Epistemology, Ethics, and Metaphysics (2 obras) · Philosophy (2 obras) · Artificial Intelligence (1 obra) · Cognitive science (1 obra) · Computer Science (1 obra) · Distributive justice (1 obra) · Distributive property (1 obra) · Economic Justice (1 obra) · Ethics and Social Impacts of AI (1 obra)