Category: Communities of Practice

AI can be Sexist and Racist — It’s Time to Make it Fair

Accuracy, Algorithms, Artificial Intelligence, Cultural Bias, Ethnic Bias, Gender Bias, Training Data

Author: James Zou, Londa Schiebinger; Publisher: Nature; Publication Year: 2018. The following article discusses different sources of bias, how to recognize the bias, and what to do about it. They bring up that a major…
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What Do We Do About the Biases in AI?

Algorithms, Amazon, Artificial Intelligence, Bias Mitigation, Explainability, Fairness, Human Bias, Racial Bias, Transparency

Author: James Manyika, Jake Silberg, Brittany Presten Publisher: Harvard Business Review Publication Year: 2019 Summary: The following article discusses how artificial intelligence (AI) can help identify and reduce the impact of human biases. But it…
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A.I. for Good

Artificial Intelligence, Sustainable Development Goals

Author: James Hodson, Jon Krohn; Publisher: Super Data Science; Publication Year: 2021. The following podcast episode is an interview with James Hodson who founded AI for Good. He started the organization to focus on using…
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Data Science for Social Good with Datakind’s Jake Porway

Data Science, Datakind, Social Good

Author: Jake Porway; Publisher: O’Reilly Media; Publication Year: 2015. The following video discusses how data for good is becoming very popular, but many people are not thinking deeply about ethics as they do it, and…
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Good Practice Principles for Data Ethics in the Public Sector

Data Sharing, Government, Open Data, Open Government, Organization for Economic Cooperation and Development, Public Sector, Transparency

Author: Jacob Arturo Rivera Pérez; Publisher: Organization for Economic Cooperation and Development; Publication Year: N/A. The following document is written by the Organization for Economic Cooperation and Development (OECD) within the Open and Innovative Government…
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What Moral Decisions Should Driverless Cars Make?

Algorithms, Autonomous Vehicles, Car Accidents

Author: Iyad Rahwan; Publisher: TEDx Talks; Publication Year: N/A. The following talk focuses on how driverless cars use algorithms to reduce car accidents which are occurred by human errors. However, it is difficult to determine…
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Erasing Bias in Emerging Technologies – 3 Considerations

Data Collection, Generalizability, Race-Based Models

Author: Ivor Horn, Kulleni Gebreyes; Publisher: World Economic Forum; Publication Year: 2022. In the following article, 2 healthcare industry professionals walk through 3 considerations all providers should make. The first big pitfall most providers fall…
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INFORMS Ethics Guidelines

Accountability, Cooperation, Honesty, Rigor, Vigilance

Author: N/A; Publisher: INFORMS; Publication Year: N/A. The following resource provides a set of ethical guidelines for INFORMS members in reference to society, their organizations, and the profession as a whole. They recognize that data…
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Ethical Use of Big Data in Financial Services

Algorithms, Big Data, Data Architecture, System Architecture

Author: N/A; Publisher: Institute of Chartered Accountants in England and Wales. Publication Year: N/A. The following article introduced 3 groups of principles and respective examples that could potentially identify, prevent and resolve ethical tensions in…
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