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
23
Overall domain representation
2

Overall balance of levels
1

Overall balance of dimensions
1

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
23
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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