Category: Bias

Data Ethics and Global Cultural Differences

Ethical Frameworks, European Union, Transparency

Author: Soren Juul Jorgensen; Publisher: Nature; Publication Year: N/A. The following article discusses how as individual data becomes more exploited by companies in the name of profit and advancement of humanity, Jorgensen looks at studies…
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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 Bias

Author: 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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Why It’s So Damn Hard to Make AI Fair and Unbiased

Fairness, Statistics

Author: Sigal Samuel; Publisher: Vox; Publication Year: 2022. The following article introduced the idea of bias in a statistical sense and how bias is interpreted in society. This is an important distinction to recognize and…
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Capitol Records Drops ‘Offensive’ AI Rapper FN Meka After Outcry Over Racial Stereotyping

Factory Now, FN Meka, Racism

Author: Sian Cain; Publisher: The Guardian; Publication Year: 2022. In the following article, FN Meka highlights the importance of considering marginalized communities when making decisions involving data. FN Meka was immediately met with backlash by…
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Data Ethics? Not My Problem, Say 42% of UK Data Workers

Apple, Data Lifecycle, Goldman Sachs, Moral Responsibility, Personally Identifiable Information

Author: Shubnam Sharma; Publisher: UKTN; Publication Year: 2021. In the following article, data ethics deals with the moral obligations of gathering, protecting, and using personally identifiable information, and how it affects individuals. Upon surveying 1,000…
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An Introduction to Data Ethics

Amazon, FAANG Companies, Google, Meta, Netflix

Author: Shannon Vallor, William J Rewark; Publisher: Santa Clara University; Publication Year: N/A. The following article provides a deep dive into the risks and benefits that data can present. After that, the authors talk about…
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Algorithmic Bias in Data-Driven Innovation in the Age of AI

Algorithmic Bias, Data Driven Innovation Phases, Data Driven Process

Author: Shahriar Akter, Grace McCarthy, Shahriar Sajib, Katina Michael, Yogesh Dwivedi, John D’Ambra; Publisher: International Journal of Information Management; Publication Year: 2021. The following paper provided a thorough framework for algorithmic biases in data driven…
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Algorithmic Accountability

Accountability, Data Collection, Digital Totalitarianism, Transparency, Trustworthiness

Author: Hetan Shah; Publisher: National Library of Medicine; Publication Year: 2017. The following article reviews ways in which researchers can improve trustworthiness. The authors argue that transparency alone cannot lead to accountability. Additionally, legislation for…
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Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings

Algorithms, Educational Outcomes, Human Bias, K-12, Systematic Bias

Author: Selin Akgun, Christine Greenhow; Publisher: AI and Ethics; Publication Year: 2022. The following article discusses the current and proposed uses of artificial intelligence (AI) in promoting educational outcomes for K-12 students. It asserts that,…
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