Category: 2019
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Ethical Use of Customer Data in a Digital Economy
Data Collection, Data Guidelines, Data Policies, Data Principles, Data Utilization, General Data Protection Regulation, Management Framework, Risks, TransparencyAuthor: N/A; Publisher: KPMG International; Publication Year: 2019. The following article is written by KPMG Digital and Technology Department employees. It touches on financial institutions’ principles, policies, and data ethics guidelines. The report points out…
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Why Do We Need to Talk About Ethics and Bias in AI?
Author: Kim Escherich; Publisher: IBM Nordic Blog; Publication Year: 2019. The following article discusses how as digitization has been extended, we started to consider how far we can extend it with the concerns of ethics.…
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What are the Ethical Concerns of Artificial Intelligence in Marketing?
Author: Kevin Walsh, Paul Roetzer Publisher: HubSpot Publication Year: 2019 Summary: The following video notes that individuals frequently make a trade off between privacy and convenience in order to receive personalized content, which firms can…
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Sexist and Biased? How Credit Firms Make Decisions
Algorithms, Apple, Artificial Intelligence, Credit Score, Gender Bias, Goldman Sachs, Historical DataAuthor: Kevin Peachey; Publisher: BBC News; Publication Year: 2019. The following article describes how in November 2019, a tech entrepreneur reported that he was approved credit 20 times more on his Apple Card than his…
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Operationalising data ethics in the financial services sector
Cambridge Analytica Scandal, Consumer Trust, Data Analysis, Data Collection, Financial Services SectorAuthor: Karishma Brahmbhatt; Publisher: Allen & Overy; Publication Year: 2019. The following article describes how in light of the Cambridge Analytica scandal, the Financial Services Sector is scrambling to implement data ethics into their data…
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This is How AI Bias Really Happens—and Why It’s So Hard to Fix
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how over the past few months, its been documented how the vast majority of artificial intelligence’s (AI) applications today are based…
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DeepMind is asking how AI helped turn the internet into an echo chamber
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how artificial intelligence (AI) furthers the “filter bubble” online. Users tend to interact with content that they enjoy, which allows recommendation…
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IBM’s Photo-Scraping Scandal Shows What a Weird Bubble AI Researchers Live In
Artificial Intelligence, Data Scraping, Facial Recognition Systems, Flickr, IBM, Instagram, New York Times, Public Data, Wall Street Journal, Web ScrapingAuthor: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how in March of 2019, NBC released a story with the headline “Facial recognition ‘dirty little secret’: Millions of online photos…
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AI is Sending People to Jail — and Getting it Wrong
Crime Information, Facial Recognition Systems, Law Enforcement, Machine Learning, Policing, Predictive Modeling, Underrepresented IndividualsAuthor: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following resource is a must-read for anyone who wants to know how unethical and plain incorrect use of machine learning can severely impact underrepresented…