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The Norms of Algorithmic Credit Scoring · Study

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PreprintThe Norms of Algorithmic Credit Scoring

Nikita Aggarwal2020

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Preprintgreen2020

The Norms of Algorithmic Credit Scoring

Nikita Aggarwal

19 citations·0/0 files stored·SSRN Electronic Journal

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI FinTech, Crowdfunding, Digital Finance

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References

1981Credit Rationing in Markets with Imperfect Information 1975Frame Analysis: An Essay on the Organization of Experience.2014Big Data's Disparate Impact 1978The Private and Social Value of Information and the Reward to Inventive Activity 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 2017Human Decisions and Machine Predictions 2010Consumer credit-risk models via machine-learning algorithms 2021Consumer-lending discrimination in the FinTech Era

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2022Consumer Credit in The Age of AI – Beyond Anti-Discrimination Law 2023Algorithmic Credit Scoring in Vietnam: A Legal Proposal for Maximizing Benefits and Minimizing Risks 2024Role of UPI Application Usage and Mitigation of Payment Transaction Frauds: An Empirical Study

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2018Consumer Law and Artificial Intelligence: Challenges to the EU Consumer Law and Policy Stemming from the Business' Use of Artificial Intelligence - Final report of the ARTSY projectpreprint · 5 shared references 2023Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practiceschapter · 5 shared references 2021Data Subject Rights under the GDPRbook · 5 shared references 2023On Fairness and Calibrationchapter · 5 shared references 2021FinTech Lendingreport · 5 shared references 2022Consumer Credit in The Age of AI – Beyond Anti-Discrimination Lawpreprint · 5 shared references

Details

Year2020

Typepreprint

Published2020-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations19

Files0 public / 0

ShelfDigitalization, Law, and Regulation

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doi10.2139/ssrn.3569083

openalex_workW3107699519

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