Category: Education & Training

FAIR Principles

Accessibility, Fairness, Findability, GO FAIR, Implementation Networks, Interoperability, Reusability

Author: N/A; Publisher: GO FAIR; Publication Year: 2016. The following article focusses on GO FAIR, a stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles. They use Implementation Networks to define and…
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AI Ethics (AI Code of Ethics)

Artificial Intelligence, Explainability, Fairness, Inclusivity, Misuse, Responsibility

Author: George Lawton, Ivy Wigmore; Publisher: Tech Target; Publication Year: N/A. The following definition discusses how an artificial intelligence (AI) code of ethics is important because it is able to provide guidance to stakeholders to…
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The Racial Data Gap: Lack of Racial Data as a Barrier to Overcoming Structural Racism

Data Collection, Data Reporting, Public Health, Racial Gaps, Structural Racism

Author: Geoffrey Holtzman, Neda Khoshkhoo, Elaine Nsoesie; Publisher: The American Journal of Bioethics; Publication Year: 2022. The following article discusses how there is a consistent racial disparity in data, particularly as this article points out,…
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Mitigating Bias in Artificial Intelligence: An Equity Fluent Leadership Playbook

Artificial Intelligence, Bias Mitigation, Business

Author: Genevieve Smith, Ishita Rustagi; Publisher: Berkeley Haas, Center for Equity, Gender and Leadership; Publication Year: N/A. The following resource is a business playbook for mitigating bias in artificial intelligence (AI). It has several real-life…
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When Good Algorithms Go Sexist: Why and How to Advance AI Gender Equity

Apple, Credit Score, Feminist Data Practices, Gender Bias, Underrepresented Communities

Author: Genevieve Smith, Ishita Rustagi; Publisher: Stanford Social Innovation Review; Publication Year: 2021. The following article discusses the effect of gender bias in data science. A very interesting example is the credit lines and credit…
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Why Marketers Must Embrace Ethical Data Use

Advertising, Customer Trust, Data Confidentiality, Marketing, Personal Data, Transparency

Author: Gabrielle Robitaille; Publisher: World Federation of Advertisers; Publication Year: 2020. The following article focuses on how gaining consumer trust is key for business success, and the adoption of data ethics in marketing and advertising…
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Children and the Data Cycle: Rights and Ethics in a Big Data World

Big Data, Child Rights, Children

Author: Gabrielle Berman, Kerry Albright; Publisher: United Nations Children’s Fund (UNICEF) Office of Research; Publication Year: 2017. The following article calls attention to a group of people that will be some of the most affected…
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Why We Must Act Now to Close the Gender Gap in AI

Artificial Intelligence Development, Gender Gap, Global Gender Gap Report 2022

Author: Gabriela I. Ramos Patiño; Publisher: World Economic Forum; Publication Year: 2022. The following article provides nicely linked research studies – and it is a quick high-level read but highlights an important issue in artificial…
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Ethics in Natural Language Processing

Aggregation Bias, Deployment Bias, Evaluation Bias, Learning Bias, Natural Language Processing Technology, Slang

Author: Future Analytica; Publisher: Medium; Publication Year: 2022. The following article discusses data ethics in context of natural language processing. Several types of bias that we need to watch out for are learning bias, evaluation…
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