This page allows you to explore the underlying sources that inform our System Map. You will find many duplicates and repeating elements because many different frameworks will address the same aspects.
We are actively refining our labelling processes, and so you may notice some inconsistencies, but the essential themes have become well stable.
Many sections can be expanded - click on the little triangles.
The Systemic Data Ethics Domains
The Systemic Data Ethics framework is a stable, whole system, view of data ethics. Instead of defining principles, it establishes a set of 12, interconnected, areas of practice called “domains”.
Select a domain to explore
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The organization’s principles, and it’s approach to the opportunity and risks related to using and commercialising data.
Word cloud visualisations provide a quick insight into the concepts relevant in each domain.
Source aspect word cloud
These are the words that appear most often in the aspects of each source document assigned to this domain.
This second word cloud (not currently available for all domains) shows the tags we’ve assigned to our source documents.
Systemic framework attributes
Within the Systemic Data Ethics framework, the
domain is defined by combining these different attributes.
The work required at an organizational level to use and manage data and AI within an economic or social context. This includes a business decisions and it’s strategy to commercialise data, an organization’s structure, the way in which it communicates (and listens to) the public as well as the long term, social and environmental impact of any data or AI use.
The ethical decisions required to achieve goals and objectives, at an individual/design level, day-to-day operations and strategy.
The Systemic Data Ethics structure allows us to categorise “aspects” of other data ethics frameworks and systems to build a big, whole system picture of each domain, and data ethics in general.
As we process each of our sources, we identify key sections of text, and assign each to a level and dimension. This process is, by definition, a little blurry. Ideas will often apply to multiple domains, but we are generally able to be sufficiently accurate.
These sources focus primarily on this domain.
These sources all have aspects relevant to this domain
Jack Stilgoe,Richard Owen,Phil Macnaghten
Western Governors University
Gov.uk Data ethics framework
Institute of Business Ethics
Jessica Morley, Luciano Floridi, Libby Kinsey, Anat Elhalal
Beijing academy of artificial intelligence
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