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Ethical Data Analytics — What Every Business Needs to Know
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Author: Tom Jongen; Publisher: Medium; Publication Year: 2021. The following article discusses how if any company uses customer data to make customer-facing decisions, there are ethical issues that need to be considered. Also, it asks us to consider “When ‘Know Your Customer’ goes too far;” and the issues related to Facebook/Cambridge Analytica political influence scandal…
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A Beauty Contest was Judged by AI and the Robots Didn’t like Dark Skin
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Author: Sam Levin; Publisher: The Guardian; Publication Year: 2016. The following article discusses how in 2016, the first artificial intelligence (AI) judged beauty contest was conducted. The objective factors included facial symmetry and wrinkles. Beauty.AI, created by Youth Laboratories and supported by Microsoft, received 6,000 submissions from over 100 countries to identify those who resembled…
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Fighting Bias in AI With Ethics Training
2022, Bias, Blog Article, Communities of Practice, Diversity, Equity & Inclusion, Education & Traininglnbressa
Author: Paul Mah; Publisher: CDO Trends; Publication Year: 2022. The following article describes how according to a recent study, over $77.5 billion was invested in artificial intelligence (AI) in 2021. But with the growth of AI, the concern about bias has grown as well. Even though organizations are not actively trying to perpetuate and amplify…
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5 Ways AI Bias Hurts Your Business
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Author: Mary Pratt; Publisher: TechTarget; Publication Year: 2021. The following article features artificial intelligence (AI) experts who pointed to a Microsoft-designed chatbot called Tay as an example of how bias works and how it can hurt a business. Microsoft used machine learning and natural language processing technologies to create Tay, a chatbot meant to learn…
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Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
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Author: Kenny Peng, Arunesh Mathur, Arvind Narayanan; Publisher: 35th Conference on Neural Information Processing Systems; Publication Year: 2021. The following research paper was done on how the most common method of removal of unethical data does not work as most expect or intend. Essentially, deleting unethical data is often not enough as the information is…
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Gender Shades
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Author: Joy Buolamwini, Timnit Gebru; Publisher: MIT Media Lab; Publication Year: 2018. The following video discusses the Gender Shades project which evaluates the bias of 3 commercial artificial intelligence (AI) gender classification products (Microsoft, Face++, and IBM). Their focus and motivations are to show the need for increased transparency in the performance of any AI…
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Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It
2019, Bias, Diversity, Equity & Inclusion, News Article, Notable People, Social Justice, Underrepresented Authorlnbressa
Author: Joy Buolamwini; Publisher: Time Magazine; Publication Year: 2019. In the following article, notable data ethics advocate Joy Buolamwini shares her journey combating gender and racial bias in artificial intelligence (AI). After encountering biased facial analysis software that could not recognize dark-skinned faces, the author was motivated to seek similar examples of discriminatory AI in…
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Using Unethical Data to Build a More Ethical World
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Author: Jaime Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how it is commonly known that there are lots of algorithms that are biased in one way or another. In this paper, the researchers did not block any bias from forming in their model to see what they can learn from that…
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Amazon Schooled on AI Facial Technology By Turing Award Winner
2019, Bias, Code of Ethics, Criminal Justice, Education & Training, Frameworks, Legal & Policy, News Articlelnbressa
Author: Dina Bass; Publisher: Bloomberg; Publication Year: 2019. The following article details 26 artificial intelligence (AI) researchers calling for Amazon to stop selling their AI facial recognition software to police departments. The group joined together after a study came out that the AI software had higher predictive error rates for darker-skinned women. The American Civil…
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