Category: 2020

A Beginner’s Guide to Data Ethics

Ethical Standards, Harm Avoidance, Personally Identifiable Information

Author: Sophie Lou, Mark Yang; Publisher: Medium; Publication Year: 2020. The following article discusses how data ethics is a growing field and it demands our attention as data scientists because it will be one of…
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Differential Privacy at the U.S. Census

Data Privacy, Differential Privacy, Encryption Key, Transparency, U.S. Census

Author: Simson Garfinkel, Kyle Polich; Publisher: Data Skeptic; Publication Year: 2020. The following podcast episode features an interview with Simson Garfinkel who talks about his work with the U.S. Census and how they have changed…
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Data Ethics in Artificial Intelligence & Machine Learning

Artificial Intelligence, Consent, Facial Recognition Systems, Immigration and Customs Enforcement, Machine Learning

Author: Saurabh Mishra; Publisher: Medium; Publication Year: 2020. The following article discusses how data is very important when it comes to artificial intelligence (AI) and machine learning as it acts as the fuel source for…
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Ten Steps to Ethics-Based Governance of AI in Health Care

AI Bias, AI Strategy, AI Usage, Artificial Intelligence, Consent, Data Governance, Harm Avoidance, Transparency

Author: Satish Gattadahalli; Publisher: STAT; Publication Year: 2020. The following article talks about the usage of artificial intelligence (AI) in health care which raises ethical issues that are paramount and fundamental in order to avoid…
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How Racial Bias in Tech Has Developed the “New Jim Code”

Artificial Intelligence, Biased AI, Discriminatory Practices, Facial Recognition Systems, Human Bias, Machine Learning, Unethical AI

Author: Sarah E. Bon, Nyasha Junior; Publisher: Hyperallergic; Publication Year: 2020. The following article explores the use of artificial intelligence (AI) and machine learning in artistic research and reconstructions. Specifically, the authors explore the hidden…
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Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare

Algorithms, Artificial Intelligence, Bad Training Data, Biased AI, Patient Care

Author: Sara Gerke, Timo Minssen, and Glenn Cohen; Publisher: National Library of Medicine; Publication Year: 2020. The following article is dense, but its biggest takeaway is the impact of getting things wrong is extremely high…
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Ethics that Every Data Scientist Should Follow

Confidentiality, Conflicts of Interest, False Reality, Fraudulent Data Practices, Prejudiced Data

Author: Sameer Balaganur; Publisher: Analytics India Magazine; Publication Year: 2020. The following article focuses on the ethical considerations for data scientists working with company clients. Data scientists must consult with clients before making any decision…
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Big Tech and Data Ethics

Algorithmic Injustice, Artificial Intelligence, Autonomous Vehicles, Discrimination, Machine Learning, Personal Data, Robotics, Surveillance, User Interface Design

Author: Sam Gilbert; Publisher: Bennett Institute of Public Policy, Cambridge; Publication Year: 2020. The following article discusses the following topics with respect big tech companies: privacy and surveillance; bias; discrimination; and injustice in algorithmic decisioning;…
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Scientific Research and Big Data

Big Data, Ethical Constraints, Knowledge Generation, Machine Learning Algorithms, Personal Data

Author: N/A; Publisher: Stanford Encyclopedia of Philosophy; Publication Year: 2020. The following resource is primarily focused on the way that big data and machine learning algorithms has changed the process of knowledge generation. At the…
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