Runshan Fu

Carnegie Mellon University

PhD Student

5000 Forbes Ave.

Pittsburgh, PA 15213-3890

United States

SCHOLARLY PAPERS

3

DOWNLOADS
Rank 36,827

SSRN RANKINGS

Top 36,827

in Total Papers Downloads

1,686

SSRN CITATIONS

8

CROSSREF CITATIONS

4

Scholarly Papers (3)

1.

'Un'Fair Machine Learning Algorithms

Number of pages: 49 Posted: 04 Jul 2019 Last Revised: 15 Apr 2021
Carnegie Mellon University, University of Pittsburgh - Katz Graduate School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 668 (50,365)
Citation 3

Abstract:

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algorithmic bias, fair algorithms, machine learning bias, equality of opportunity, algorithms and bias, machine learning, bias

2.

Crowds, Lending, Machine, and Bias

Number of pages: 40 Posted: 21 Jul 2018 Last Revised: 25 Jun 2020
Runshan Fu, Yan Huang and Param Vir Singh
Carnegie Mellon University, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 588 (59,362)
Citation 4

Abstract:

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fintech, peer-to-peer lending, crowdfunding, machine learning, algorithmic bias, machine vs humans

3.

AI and Algorithmic Bias: Source, Detection, Mitigation and Implications

Number of pages: 35 Posted: 16 Oct 2020
Runshan Fu, Yan Huang and Param Vir Singh
Carnegie Mellon University, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 430 (87,315)
Citation 2

Abstract:

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artificial intelligence; machine learning; fair machine learning; algorithms; unintended consequence of algorithms; algorithmic bias; algorithmic transparency