Category: Education & Training
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Bias, Racism and Lies: Facing Up to the Unwanted Consequences of AI
AI Development, Artificial Intelligence, Consumer Privacy, Facebook, International AI Regulation, Misinformation, TwitterAuthor: N/A; Publisher: United Nations News; Publication Year: 2020. The following article discusses how artificial intelligence (AI) development is especially problematic for countries where governments do not have the ability to effectively regulate consumer privacy…
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Why the World Needs More Women Data Scientists
Author: Ugonma Nwankwo, Michael Pisa; Publisher: Center for Global Development; Publication Year: 2021. The following article discusses how evidence-based policy making is ineffective when it relies on biased information, a potential source for this is…
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Algorithmic Bias Explained
Author: N/A; Publisher: TRT World; Publication Year: 2018. The following video discusses how because algorithms are written by humans, they are not any more objective than we are. Some examples of algorithmic bias include: Amazon’s…
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Simple Analysis of Police Policies in the U.S.
Author: Trisha Sanghal, Coco Sun, and Sina Ghandian; Publisher: Medium; Publication Year: 2020. The following article discusses findings regarding policies related to deaths caused by police departments. Is crime a predictor for violent force policies?…
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The Human Insights Missing from Big Data
Author: Tricia Wang; Publisher: TED; Publication Year: N/A. In the following video, Wang suggests that insight through an emotional lens often eludes big-data findings. Wang explains that while big data is important, the subsequent decisions…
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Mitigating Gender Bias in Natural Language Processing: Literature Review
Artificial Intelligence, Bias Mitigation, Debiasing, Gender Bias, Natural Language Processing TechnologyAuthor: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even…
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Ethical Data Analytics — What Every Business Needs to Know
Amazon, Cambridge Analytica Scandal, Customer Data, Facebook, Google, Hiring, Image Recognition, Microsoft, Tay, TwitterAuthor: 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…
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Author: Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.; Publisher: Arxiv; Publication Year: 2016. The following article discusses how machine learning applied blindly runs the risk of amplifying biases in data. Word embedding, a popular…