Category: Blog Article

10 Data Science Ethics Questions

Bias Mitigation, Data Accuracy, Data Collection, Data Representation, Data Usage, Legal Rights, Project Scope

Author: Jeff Saltz; Publisher: Data Science Process Alliance; Publication Year: 2022. The following article provides 10 questions for a data science team to incorporate ethics into their projects. These questions address various aspects of ethics…
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On Data Ethics: An Interview with Jacob Metcalf

Ethical Consulting, Ethical Governance

Author: Jeff Kampfe; Publisher: Markkula Center for Applied Ethics; Publication Year: 2018. In the following article, Jeff and Jacob discuss the need for ethicists and social scientists to be employed by big data companies as…
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Key Virtues for Data Science

Compassion, Honesty, Humility, Rigor

Author: Jeff Kempfe; Publisher: Markkula Center for Applied Ethics; Publication Year: 2018. In the following article, Kampfe interviewed people in a variety of careers that all have exposure to data ethics and his goal was…
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The 4 Ethical Theories of Data Ethics Explained.

Deontological Ethics, Social Contract Theory, Utiliarianism, Virtue Ethics

Author: Jay LW; Publisher: Medium; Publication Year: 2021. The following article discusses how ethics can be evaluated through many lenses. There are many different theories that all might sound a little right when heard by…
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Rethinking when and how to use race appropriately in care delivery

Data Collection, Data Granularity, Data Standardization, Health Data

Author: Jay Bhatt, Heather Nelson, David Veroff, Christine Chang, Jessica Overman; Publisher: Deloitte. Insights; Publication Year: 2022. The following article discusses how part of proper healthcare is the collection of data regarding an individuals health.…
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How Can Data Science Fight Social Injustice?

Data Integration, Data Standardization, Law Enforcement

Author: James Nelson; Publisher: Medium; Publication Year: 2020. The following article delves into the divide between law enforcement and the communities that they are entrusted with protecting, and suggests that data science is a possible…
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Building Ethical Guardrails into AI-Driven Robotic Assistants

Accountability, Artificial Intelligence, Gender Bias, Racial Bias, Robotic Assistants, Transparency

Author: James Kobielus; Publisher: Transforming Data with Intelligence (TDWI); Publication Year: 2021. The following article focuses on why there are ethical boundaries needed when building robotic assistants in this article. Developers of the artificial intelligence…
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Tackling Bias in Artificial Intelligence

Artificial Intelligence, Fairness, Human Bias, Racial Disparities

Author: Jake Silberg, James Manyika; Publisher: McKinsey & Company; Publication Year: 2019. The following article discusses 2 opportunities that artificial intelligence (AI) presents to today’s society: the opportunity to reduce the effect of human bias,…
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Twelve Principles of Data Ethics

Data Collection, Data Utilization, Personal Data

Author: Jacob Metcalf; Publisher: Ethical Resolve; Publication Year: 2016. The following post provides a list of 12 “universal principles of data ethics.” Although the full reports from which these were derived are not available through…
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