Category: Banking & Finance
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Teaching Ethics and AI for Ethics
Author: Steven M. Mintz; Publisher: Strategic Finance; Publication Year: 2021. The following article discusses how data ethics is vital for young professionals to learn in a new automated, decision-making world in finance. For this reason,…
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Algorithmic Bias, Financial Inclusion, and Gender
Bias Mitigation, Credit Score, Data Collection, Fairness, Gender Bias, Labeling Bias, Outcome Proxy Bias, Sampling BiasAuthor: Sonja Kelly, Mehrdad Mirpourian; Publisher: Women’s World Banking; Publication Year: 2021. The following report discussed where gender-based bias originates and how to mitigate such biases in the emerging digital credit space. The report discussed…
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Understanding AI Bias in Banking
Author: Pedro Saleiro; Publisher: Feedzai; Publication Year: 2020. The following document discusses how recent events pushed organizations and individuals to push back against biases in financial institutes. In the digital age, however, it is not…
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What Should Data Ethics Mean to Financial Service Providers?
Author: N/A; Publisher: Symphony AI; Publication Year: N/A. The following source discusses how data ethics in finance is a topic that has not been talked about enough as the rise of artificial intelligence (AI) and…
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Ethics and Financial Markets: The Role of the Analyst
Author: Marianne M. Jennings; Publisher: The Research Foundation of CFA Institute; Publication Year: 2013. The following article discusses how the ethical issues that financial professionals face are no different from the ethical issues in any…
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The importance of an ethical AI implementation in the financial industry
Author: Marc Garay Publisher: NTT Data Publication Year: 2021 Summary: The following article discusses how a financial institution can implement compatible ethical guidelines when trying to implement machine learning to keep up with the needs…
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AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data
Anti-Money Laundering, Artificial Intelligence, Data Control, Data Misuse, Know-Your-Customer Regulatory Checks, Payment Fraud, UnderwritingAuthor: Lisa Shields; Publisher: Inside BIG DATA; Publication Year: 2020. The following article talks about how over the past few years, the financial services industry has made huge strides in adopting new technologies like artificial…
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Bias in Machine Learning Examples: Policing, Banking, COVID-19
Author: Lisa Morgan; Publisher: Tech Target; Publication Year: 2020. The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes…