Diversity, Equity & Inclusion

Resources that discuss frameworks on how to encourage participation from everyone, notably for those who have been underrepresented or discriminated against.

A 20-Year Community Roadmap for Artificial Intelligence Research in the U.S.

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Author: Y. Gil and B. Selman; Publisher: Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI); Publication Year: 2019. The following paper touches on such a broad spectrum of societal facets artificial intelligence (AI) affects and should be considered more closely. The different areas stimulated ideas such as highlighting the AI Open Knowledge network need. Currently the major tech companies have access to a majority of this resource so it is imperative to open…

Best Practices: Optimizing Analytics for Diversity, Equity, Inclusion, and Belonging

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Author: N/A; Publisher: Workday; Publication Year: 2022. The following article discusses a survey from PwC shows that while diversity is a stated value or priority area for 75% of organizations, 32% of respondents still feel diversity is a barrier to employee progression. To optimize analytics for diversity, equity, inclusion, and belonging (DEIB), the author recommended companies to take the following 3 actions: 1)…

Privacy Wars Fueled by the GDPR

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Author: Will Horvath; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how with countries fighting against the growing threat of privacy invasion (and many losing), Europe implemented in 2018 the General Data Protection Regulation (GDPR) that provides the ‘most sweeping protection of user privacy rights yet passed in the world.’ France’s CNIL used the GDPR to fine Google for $57 million…

Global Megatrends 2022

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Author: Wanda Curlee; Publisher: Project Management Institute; Publication Year: 2022. The following article covers the application of data ethics in projects and it provides a framework that this website approves of. The author provides an overview of guidelines that they followed when creating their framework. One that was eye-catching was to go beyond the letter of the law. Laws have not caught up to data science and so it’s up to…

The Key Concepts of Ethics of Artificial Intelligence

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Author: Ville Vakkuri, Pekka Abrahamsson; Publisher: IEEE Xplore; Publication Year: 2018. The following article seeks to find out what the reoccurring themes are in artificial intelligence (AI) ethics discourse as a way of understanding the current state of AI ethics as well as determining a direction for AI ethics going forward by using these themes to create a framework. 1062 papers were analyzed and 37 reoccurring keywords words related to AI…

An Ethics Framework for Big Data in Health and Research

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Author: Vicki Xafis, G. Owen Schaefer, Markus K. Labude, Iain Brassington, Angela Ballantyne, Hannah Yeefen Lim, Wendy Lipworth, Tamra Lysaght, Cameron Stewart, Shirley Sun, Graeme T. Laurie & E Shyong Tai; Publisher: Asian Bioethics Review; Publication Year: 2019. The following paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and Policy-relevant Ethics in Singapore (SHAPES) Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts…

It’s Never too Early to Get Your AI Ethics Right

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Author: Veronica Irwin; Publisher: Protocol; Publication Year: 2022. The following article discusses how startups, especially early-stage ones, are focused on making evangelical sales to large enterprises. Even with good intentions, it is easy for founders to think of cutting corners, which can have bad consequences. If investors do not trust the team or the product, the startup can be in deep trouble. If the artificial…

Data Ethics, AI and Responsible Innovation

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Author: University of Edinburgh; Publisher: edX; Publication Year: N/A. The following online class was created by the University of Edinburgh which is available for free on edX. The course is 7-weeks long and requires only 3-4 hours of work per week, but the course covers a large variety of material relating to data ethics, artificial intelligence (AI), and responsible innovation. The course focuses on educating the student on…

Code of Ethics and Standards

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Author: N/A; Publisher: United States Data Science Institute (USDSI); Publication Year: N/A. The following article is a framework for how the USDSI operates from an ethical perspective and it is an excellent overview for a code of standards for ethics. The article starts with the 3 pillars as the the “three Vs”: Vision, values, and virtues. For vision, they state that they seek to achieve its vision to adhere to the quality standards of providing quality data…