Huiren Bai
Biographic Data
| ID | 8898347 |
|---|---|
| NAME | Huiren Bai |
| GIVEN NAMES | Huiren |
| FAMILY NAME | Bai |
| SIGNATURE | BAI H |
| AFFILIATIONS | Zhejiang University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 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…
No prominent works on this page.
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 works) · Epistemology, Ethics, and Metaphysics (2 works) · Philosophy (2 works) · Artificial Intelligence (1 work) · Cognitive science (1 work) · Computer Science (1 work) · Distributive justice (1 work) · Distributive property (1 work) · Economic Justice (1 work) · Ethics and Social Impacts of AI (1 work)