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Authors and Organizations
Source authors
Name
sources
Vi Hart and Nicky Case
Parable of the polygons
Luciano Floridi and Josh Cowls
A Unified Framework of Five Principles for AI in Society
Shannon Vallor, Santa Clara University
Intro to data ethics
Bill Mew, Philippe Borremans
Brands, Trust and Digital Ethics
Professor Lars Kai Hansen
THE PRINCIPLES OF SAFE AI
Andrej Zwitter
Big Data & Society
Jessica Morley, Luciano Floridi, Libby Kinsey, Anat Elhalal
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
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Source organizations
Name
icon
url
sources
primary domain
GOV UK
Gov.uk Data ethics framework
GDPR
AI in the UK: ready, willing and able? (An AI Code)
Guidelines for AI Procurement
Transparency
Infrastructure
Strategy
Materials
KPMG
KPMG Data and Artificial Intelligence (AI) Ethics Navigator
Ethical AI: Five guiding pillars
AI In Control
AI Risk and Controls Matrix
Fairness
Strategy
Infrastructure
The ODI
ODI canvas
Consequences Scanning
Materials
Consequences
High-Level Expert Group on AI
Assessment List for Trustworthy AI (ALTAI)
Ethics guidelines for trustworthy AI
Strategy
Application
Dataethics.eu
Data Ethics Principles
Data Ethics: The new competitive advantage
Infrastructure
Strategy
Chartered Institute of Personnel and Development
ETHICS AT WORK An employer’s guide
ROTTEN APPLES, BAD BARRELS AND STICKY SITUATIONS An evidence review of unethical workplace behaviour
Strategy
Microsoft
Responsible Innovation: A Best Practices Toolkit
Consequences
Ethical explorer
Ethical Explorer
Inclusivity
World Economic Forum
Empowering AI Leadership
Strategy
Consequential
Responsible Stakeholder Considerations - A Starter for Ten
Consequences
Turing Institute
Understanding AI ethics and safety
Application
Markkula centre for applied ethics
A Framework for Ethical Decision Making
Consequences
HEW (Health, Education, Welfare) Advisory Committee on Automated Data Systems
1973: The Code of Fair Information Practices
Accountability
Accenture
Accenture’s universal principles of data ethics
Materials
CDEI
CDEI AI Barometer
Consequences
New Vantage Partners
Big Data and AI Executive Survey 2021
Fairness
Finland Government
Principles for a human-centric, thriving and balanced data economy
Strategy
Institute of Business Ethics
Business Ethics and Big Data
Accountability
Deloitte
Culture in financial services
Strategy
Fatml.org
Principles for Accountable Algorithms and a Social Impact Statement for Algorithms
Accountability
Future of life institute
ASILOMAR AI PRINCIPLES
Strategy
IEEE
Ethically Aligned Design
Application
Partnership on AI
Tenets
Inclusivity
Beijing academy of artificial intelligence
Beijing AI Principles
Sustainability
AI Ethics Impact Group
From Principles to Practice – An interdisciplinary framework to operationalise AI ethics
Strategy
Mastercard
Principles for Data Responsibility
Strategy
Project SHERPA
Guidelines for the Ethical Use of AI and Big Data Systems
Materials
Navex Global
Incentivizing Ethics
Strategy
UK Statistics Authority
Ethics Self Assessment Tool
Strategy
ICO
Applying legitimate interests in practice
Fairness
Trilateral Research
Data protection law and ethics
Strategy
Ethics Resource Center
2009 National Business Ethics Survey
Strategy
Jack Stilgoe,Richard Owen,Phil Macnaghten
Developing a framework for responsible innovation
Strategy
Carl Rogers
A Way of Being
Strategy
PWC
Integrity, business ethics and the resilient organisation
Strategy
Western Governors University
What is ethical leadership
Strategy
Saidot
Ethical AI Governance Framework
Sustainability
McKinsey
Confronting the risks of artificial intelligence
Infrastructure
Ramya Srinivasan
Biases in AI systems
Compliance
Ajay Chander
Biases in AI systems
Compliance
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