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Meet the Activists Perfecting the Craft of Anti-Surveillance
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Author: Hannah Murphy; Publisher: Financial Times; Publication Year: 2021. The following article describes how activists are fighting against the collusion between big tech companies and government security apparatus. Public anxiety has grown over state surveillance comes as the state forces use of increasingly sophisticated tools to monitor and track people which include: Facial monitoring, stingray…
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How Flawed Data Aggravates Inequality in Credit
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Author: Edmund L. Andrews; Publisher: Stanford University; Publication Year: 2021. The following article discusses how artificial intelligence (AI) models used to determine credit worthiness for lending are less accurate for lower-income and minority borrowers, in part due to less information on their credit reports. This leads to fewer loans to these borrowers and perpetuates the…
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Why Data Ethics Leadership Needs to Become the New Normal in Finance
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Author: David Sweenor; Publisher: Global Banking and Finance Review; Publication Year: N/A. The following article discusses how the influx of data in today’s digital world quickly passed the infrastructure necessary to monitor data automation. For this reason, it is now integral to create leadership positions for data ethics within their institutions and continue to be…
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Data Ethics Principles
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Author: N/A; Publisher: Danske Bank; Publication Year: 2022; The following document from Danske Bank that demonstrates the data ethics principles that they have applied to promote a sound and ethical data culture within their business relationship. It shows how data ethics is embodied in the current finance industry…
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Overconfidence Bias: The False Assumption That Someone is Better Than Others
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Author: N/A; Publisher: The Corporate Financial Institute; Publication Year: 2023. The following article covers multiple forms of overconfidence that can be found in analysts in the financial industry. There were 4 types that are discussed: 1). Over Ranking, 2). Illusion of Control, 3). Timing Optimism, and 4). Desirability Effect…
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Artificial Intelligence Risk & Governance
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Author: Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS); Publisher: University of Pennsylvania; Publication Year: N/A. The following paper explores the potential risks of AI and provides a standardized practical categorization of these risks: data-related risks, AI/ML attacks, testing & trust, and compliance. AI governance frameworks could help organizations learn, govern, monitor, and mature…
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Operationalizing Data Ethics in the Financial Services Sector
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Author: N/A; Publisher: Allen & Overy; Publication Year: 2019. The following article discusses how like almost all industries, financial services is also being revolutionized by data and artificial intelligence algorithms, but artificial intelligence has its shortcomings. Though it can’t be blindly trusted in financial service decisions, and this article lists 9 suggestions for operationalizing data…
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AI Solutions to Change Your Business
Banking & Finance, Blog Article, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Healthcare, Industry-Specificlnbressa
Author: N/A; Publisher: Accenture; Publication Year: N/A. The following framework is unique in that it is not published by a third party, a data ethics organization, or an educator. Rather, this is the ethical framework that Accenture, a Fortune 500 IT and consulting company, uses to guide its practices and publications for others in the…
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Reducing Bias in AI-Based Financial Services
2020, Banking & Finance, Bias, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Frameworks, Industry-Specific, News Articlelnbressa
Author: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions. As AI technologies have grown to more prominence, so have issues that have arisen with them. There have already been…
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AI in Banking: Survey Reveals Factors for Success | SAS
Banking & Finance, Bias, Blog Article, Education & Training, Frameworks, Industry-Specific, Notable Peoplelnbressa
Author: N/A; Publisher: SAS Insights; Publication Year: N/A. The following post is about where AI is being implemented in banking, what it is being used for, and who is in charge of keeping an eye on the results. The post utilizes bar charts to illustrate the information. The post talks about how banks are currently…
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