Current number of sources:
45
Top 5 sources:
KPMG Data and Artificial Intelligence (AI) Ethics Navigator
AI Risk and Controls Matrix
Intro to data ethics
GDPR
Ethics guidelines for trustworthy AI
Source depth
Overall domain representation

Overall balance of levels

Overall balance of dimensions

Domain depth

This table shows how much information we can find on each of the domains based on indexed sources.
Lighter colours indicate more information, darker colours less.
[TODO: ADD DOMAIN LABELS]
level
Intention depth
Implementation depth
Information depth
Implication depth
1
Governance
2
Operations
3
Design
There are no rows in this table

Sources by primary domain
primary domain
title
url
Strategy
7
Developing a framework for responsible innovation
A Way of Being
https://www.amazon.co.uk/Way-Being-Carl-R-Rogers/dp/0395755301/
What is ethical leadership
https://www.wgu.edu/blog/what-is-ethical-leadership2001.html#close
ETHICS AT WORK An employer’s guide
https://www.cipd.co.uk/Images/7919-ethics-guide_tcm18-66759.pdf
Sustainability
2
Beijing AI Principles
https://www.baai.ac.cn/news/beijing-ai-principles-en.html
Infrastructure
6
Data Ethics Principles
https://dataethics.eu/data-ethics-principles/
Confronting the risks of artificial intelligence
https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/confronting-the-risks-of-artificial-intelligence
Materials
4
Guidelines for AI Procurement
https://www.gov.uk/government/publications/guidelines-for-ai-procurement/guidelines-for-ai-procurement
Guidelines for the Ethical Use of AI and Big Data Systems
https://www.project-sherpa.eu/wp-content/uploads/2019/12/use-final.pdf
Compliance
1

Sources Matrix

The matrix below assigns aspects from different frameworks to different domains within our Systemic Data Ethics Map. This form of system map will always have some fuzzy edges - it’s never possible to perfectly assign “everything” into 12 domains.

Filter by source :
ODI canvas


level
Intention
Implementation
Information
Implication
1
Governance
communicating your purpose
sharing data with others
engaging with people
Openness and transparency
[  ]
2
Operations
[  ]
[  ]
[  ]
Ongoing implementation
positive effects on people
negative effects on people
minimising negative impact
3
Design
Reasons for using data
Data sources
Rights around data sources
Limitations in data sources
Ethical and legislative context
reviews and iterations
[  ]
There are no rows in this table
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