Runshan Fu

Carnegie Mellon University

PhD Student

5000 Forbes Ave.

Pittsburgh, PA 15213-3890

United States

SCHOLARLY PAPERS

3

DOWNLOADS
Rank 49,003

SSRN RANKINGS

Top 49,003

in Total Papers Downloads

1,063

SSRN CITATIONS

6

CROSSREF CITATIONS

3

Scholarly Papers (3)

1.

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 455 (75,673)
Citation 4

Abstract:

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

2.

'Un'Fair Machine Learning Algorithms

Number of pages: 49 Posted: 04 Jul 2019 Last Revised: 15 Apr 2021
Carnegie Mellon University, Katz Graduate School of Business at University of Pittsburgh, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 406 (86,329)
Citation 3

Abstract:

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

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 202 (179,958)

Abstract:

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