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The Source Database
Current number of sources:
45
Top 5 sources:
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
Governance
Operations
Design
There are no rows in this table
Sources by primary domain
primary domain
title
url
Strategy
7
2009 National Business Ethics Survey
Developing a framework for responsible innovation
A Way of Being
https://www.amazon.co.uk/Way-Being-Carl-R-Rogers/dp/0395755301/
Integrity, business ethics and the resilient organisation
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
Accountability
2
Transparency
2
Sustainability
2
Beijing AI Principles
https://www.baai.ac.cn/news/beijing-ai-principles-en.html
Ethical AI Governance Framework
Fairness
4
Big Data and AI Executive Survey 2021
KPMG Data and Artificial Intelligence (AI) Ethics Navigator
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
Infrastructure
6
Intro to data ethics
Data Ethics Principles
https://dataethics.eu/data-ethics-principles/
THE PRINCIPLES OF SAFE AI
AI Risk and Controls Matrix
Confronting the risks of artificial intelligence
https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/confronting-the-risks-of-artificial-intelligence
Application
3
Understanding AI ethics and safety
Ethically Aligned Design
Ethics guidelines for trustworthy AI
Consequences
3
Responsible Innovation: A Best Practices Toolkit
Responsible Stakeholder Considerations - A Starter for Ten
Materials
4
Accenture’s universal principles of data ethics
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
Inclusivity
1
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
ODI canvas
level
Intention
Implementation
Information
Implication
Governance
communicating your purpose
sharing data with others
engaging with people
Openness and transparency
[ ]
Operations
[ ]
[ ]
[ ]
Ongoing implementation
positive effects on people
negative effects on people
minimising negative impact
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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