Category: Research Article

Mitigating Gender Bias in Natural Language Processing: Literature Review

Artificial Intelligence, Bias Mitigation, Debiasing, Gender Bias, Natural Language Processing Technology

Author: 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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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Biased Data, Debiasing, Google, Machine Learning, Stereotypes

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…
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Datasheets for Datasets

Algorithmic Misuse, Data Collection, Dataset Creation, Machine Learning, Reinforced Bias

Author: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford; Publisher: Microsoft; Publication Year: 2019. The following proposal identifies that as the field of machine learning has grown,…
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It’s Good to Share: Why Environmental Scientists’ Ethics Are Out of Date

Data Sharing, Environmental Science, Policymakers, Round-Table Model, Transparency

Author: Patricia A. Soranno, Kendra S. Cheruvelil, Kevin C. Elliott, Georgina M. Montgomery; Publisher: National Library of Medicine; Publication Year: 2015. The following article discusses how as data-sharing policies and ethics have become more prevalent…
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Case Study: An Ethics Case Study of HIV Prevention Research on Facebook: The Just/Us Study

Facebook, Sexual Education Programming

Author: Sheana S. Bull, PhD, Lindsey T. Breslin, MSSW, Erin E. Wright, MA, Sandra R. Black, DVM, Deborah Levine, MA, John S. Santelli, MD; Publisher: Journal of Pediatric Psychology; Publication Year: 2011. In the following…
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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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