Category: 2020

Data Feminism Presents an Intersectional Feminist Way to Think About Data Science and Ethics

Discrimination, Gender, Gender Bias, Gender Gap

Author: Catherine D’Ignazio and Lauren Klein; Publisher: Ms. Magazine; Publication Year: 2020. The following article discusses how the dominant group of data scientists today are straight, white, cisgender man who has formal credentials and is…
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The CARE Principles for Indigenous Data Governance

Big Data, CARE Framework, Data Governance, Indigenous Peoples

Author: Stephanie Russo Carroll et al.; Publisher: The Data Science Journal; Publication Year: 2020. The following article discusses how Indigenous Peoples have been oppressed in numerous ways, and with the growth of big data and…
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Invisible Women

Data Disparity, Gender, Gender Bias, Gender Gap

Author: Caroline Criado Perez; Publisher: Vintage Books; Publication Year: 2020. The following book shows us how bias exists in even the most innocuous of circumstances. In systems that are primarily designed for and by men,…
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We Need to Close the Gender Data Gap By Including Women in Our Algorithms

Algorithms, Gender, Gender Bias, Gender Gap

Author: Caroline Criado Perez; Publisher: Time Magazine; Publication Year: 2020. The following article describes the way that so many aspects of our society is designed with men in mind instead of women. Examples of this…
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AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators

Artificial Intelligence, Data Collection, Discrimination, European Union, Gender, Gender Bias, Gender Gap

Author: Carmen Neithammer; Publisher: Forbes; Publication Year: 2020. The following article touches on the bias that is introduced into algorithms by using data sets that are comprised mainly of information about the male population. A…
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How To Solve AI’s Ethical Puzzles

Artificial Intelligence, Discrimination, Google, Machine Learning, Maven Project, Policing

Author: Cansu Canca; Publisher: TEDx Talks; Publication Year: 2020. The following video discusses how AI and machine learning raise many serious ethical concerns regards many areas and some of those algorithms’ biases manipulate or reinforce…
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Big Data in Food Safety – A Review

Big Data, Blockchain Technology, Food Safety, Labeling, Satellite Imagery, Social Media

Author: Cangyu Jin, Yamine Bouzembrak, Jiehong Zhou, Qiao Liang, Leonieke M.van den Bulk, Anand Gavai, Ningjing Liu, Lukas J.van den Heuvel, Wouter Hoenderdaal, Hans J.P. Marvin; Publisher: Current Opinion in Food Science; Publication Year: 2020.…
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Artificial Intelligence and Ethics: Sixteen Challenges and Opportunities

Artificial Intelligence, Machine Learning

Author: Brian Patrick Green; Publisher: Markkula Center for Applied Ethics, Santa Clara University; Publication Year: 2020. The following article discusses how AI and machine learning is transforming society. As these are emerging technologies, we are…
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The Alignment Problem: Machine Learning and Human Values

Black Box Algorithms, Google, Hiring Software, Protected Classes, vector computation, word2vec

Author: Brian Christian; Publisher: W. W. Norton & Company; Publication Year: 2020. The following book focuses on word2vec, an algorithm from 2013 that allows for vector computation of words. That is, word2vec allows for computations…
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