Category: Communities of Practice

Why Marketers Should Explore These 4 Emerging Technology Trends

Artificial Intelligence, Deepfake, Digital Twin of a Customer, DToCs, Identity Fraud, Marketing, Transparency

Author: Claudia Ratterman; Publisher: CMSWIRE; Publication Year: 2022; The following article describes how there are 3 emerging technologies that will transform companies’ marketing abilities. The first development is artificial intelligence (AI) software that can detect…
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Understanding Data Quality: How Data Quality Problems Arise

Ambiguous Data, Data Entry Errors, Data Quality, Data Transformation Errors, Duplicate Data, Information Gaps, OCR Errors, Operating Systems

Author: Christopher Tozzi; Publisher: Precisely; Publication Year: 2022. The following article discuses how data quality is the data set’s ability to serve a business for its intended use. Data quality is essential because It allows…
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Emerging Ethical Issues Regarding Digital Health Data. On the World Medical Association Draft Declaration on Ethical Considerations Regarding Health Databases and Biobanks

Biomedical Studies, Consent, Health Biobanks, Health databases, Human Materials, Personally Identifiable Information, WMA, World Medical Association

Author: Christine Aicardi Publisher: National Library of Medicine Publication Year: 2016. The following article talks about the World Medical Association (WMA) draft on Ethical Considerations Regarding Health Databases and Biobanks. The draft Declaration indeed stresses…
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Standards of Practice Handbook

Data Governance, Data Management, Regulations

Author: N/A; Publisher: The Chartered Financial Analyst (CFA) Institute; Publication Year: 2014. Summary: The following handbook discusses regulation in relation to ethics of financial analysts. It covers how to keep privacy of data, to transfer…
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4 Principles of Responsible AI and Best Practices to Adopt Them

Data Access, Data Classification, Data Encryption, Fairness, Representation in Training Datasets, Responsible Artificial Intelligence, Synthetic Data, Training Data, Transparency, Usage Restrictions

Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by…
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Data Feminism

Binaries, Context, Data Collection, Hierarchies, Indigenous Peoples, Intersectionality, Power Distribution, Power Structures

Author: Catherine D’Ignazio and Lauren Klein; Publisher: MIT Press; Publication Year: 2020. In the following book D’Ignazio and Klein present a new lens for thinking about data science and ethics. Their ideas are based on…
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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 Indigenous World 2021: Indigenous Data Sovereignty

COVID-19, Indigenous Peoples, Sovereignty

Author: Stephanie Russo Carroll, Tahu Kukutai, Maggie Walter; Publisher: The International Work Group for Indigenous Affairs (IWGIA); Publication Year: 2021. The following article builds on the theme of Indigenous data sovereignty, with an additional focus…
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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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