AI Principles
CAIDP, Universal Guidelines for AI, 2018
OECD, AI Principles, 2019 & 2024
European Commission High Level Expert Group on AI, Ethics Guidelines for Trustworthy AI, 2019
European Union, AI Act - Regulation (EU) 2024/1689, harmonised rules on artificial intelligence 2024
UNESCO, Recommendation on Ethics of AI, 2021
UNESCO, Windhoek Statement on Artificial Intelligence in Southern Africa, Windhoek (Namibia), 2022
Ministerial and High-Level Authorities Summit of Latin America and the Caribbean, “Declaración de Santiago", 2024
G7, Hiroshima AI Process Framework, 2023
G20, Ministerial Declaration on Digital Inclusion, 2024
Council of Europe, The Framework Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law, 2024
Council of Europe: Graphical visualization of the distribution of strategic and ethical frameworks relating to artificial intelligence
United Nations, Resolution on AI - A/78/L.49 ,2024
United Nations, Global Digital Compact ,2024
United Nations, High-Level AI Advisory Board Final Report ,2024
US - Executive Order 13859 (Maintaining American Leadership in Artificial Intelligence), 2019
US - Executive Order 13960 (Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government), 2020
US - Blueprint for an AI Bill of Rights, 2022
US - Executive Order 14110 (Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI), 2023
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Accenture, Universal Principles of Data Ethics, 2016
AI Ethics Lab, Toolbox Dynamics of AI Principles
Alan Turing Institute, Understanding Artificial Intelligence Ethics and Safety, 2019
Artificial Intelligence Industry Alliance (AIIA), Joint Pledge on Artificial Intelligence Industry Self-Discipline, 2019
AI Now Institute, AI Now Report, December 2018
AI4People (Atomium - European Institute for Science, Media and Democracy), Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Allied Media Projects: Guidelines for Equitable Open Data
Amnesty International & Access Now, The Toronto Declaration: Protecting the right to equality and non-discrimination in machine learning systems, 2018
Association for Computing Machinery, Statement on Algorithmic Transparency and Accountability, 2017
Association for Progressive Communication, Feminist Principles of the Internet
Australia's Ethics Framework, 2019
Baidu, Four Principles of AI Ethics
Bejing Academy of Artificial Intelligence, Bejing AI Principles
Bertelsmann Stiftung & iRights.lab, AlgoRules
Center for Democracy & Technology (CDT): Digital Decisions
Centre for International Governance Innovation (CIGI), Toward a G20 Framework for Artificial Intelligence in the Workplace (CIGI Paper No. 178), 2018
(CENTRIC) and the Europol Innovation Lab, Accountability Principles for Artificial Intelligence (AP4AI)
CIGREF, Digital Ethics, 2018
Expert Group on Data Ethics (Dataetik), Data for the Benefit of the People, 2018
Data Ethics, Data Ethics Principles, 2017
Deep Mind, Ethics and Society Principles
Defense Innovation Board, Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense, 2019
Department of Defense, Ethical Principles for Artificial Intelligence
Design Justice Network, Principles
Deutsche Telekom, Guidelines for Artificial Intelligence
European Commission, Code of Practice on Disinformation, 2018
European Commission for the Efficiency of Justice (CEPEJ): European ethical Charter on the use of Artificial Intelligence in judicial systems and their environment, 2018
European Commission, European Group on Ethics in Science and New Technologies Statement on Artificial Intelligence, Robotics and ‘Autonomous’ Systems, 2018
European Data Protection Supervisor: Ethics Advisory Group Report 2018
FAT/ML, Principles for Accountable Algorithms and a Social Impact Statement for Algorithms
Floridi, L., & Cowls, J.: A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1, 2019
Future of Life Institute, Asilomar AI Principles, 2017
Future of Privacy Forum, Privacy Principles for Facial Recognition Technology in Commercial Applications, 2018
GE Healthcare, AI Principles
Germany’s Federal Government set up the Data Ethics Commission, Opinion
Global Indigenous Data Alliance (GIDA), CARE Principles for Indigenous Data Governance
The Good Technology Collective, The Good Technology Standard (GTS:2019-Draft-1)
Google, AI @ Google:Responsible AI Practices, 2018
Google, People + AI Research (PAIR): People + AI Guidebook
Harvard University - Berkman Klein Center for Internet and Society, Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-based Approaches to Principles for AI, 2020
IBM, Trusting AI
IBM, Principles for Trust and Transparency, 2018
International Conference of Data Protection and Privacy Commissioners ICDPPC, Declaration on Ethics and Data Protection in Artifical Intelligence, 2018
IEEE, Ethics in Action – Set the Global Standards
Information Technology Industry Council (ITI), AI Policy Principles
The Institute for Ethical AI & ML, The Responsible Machine Learning Principles
Institute of Business Ethics (IBE), Business Ethics and Artificial Intelligence, 2018
Intel, Artificial Intelligence, The Public Policy Opportunity, 2017
Kakako Corp, Kakao Algorithm Ethics
Leadership Conference on Civil and Human Rights, Civil Rights Principles for the Era of Big Data, 2014
Linux Foundation, AI & Data Principles for Trusted AI
Māori Data Sovereignty Network, Principles of Māori Data Sovereignty
Microsoft, Facial Recognition Principles, 2018
Microsoft, Microsoft AI Principles and The Future Computed – AI and its role in society, 2018
Microsoft, Responsible bots: 10 guidelines for developers of conversational AI, 2018
Monetary Authority of Singapore, Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore’sFinancial Sector
Mozilla Foundation, Effective Ad Archives, 2019
National Research Council Canada, Advisory Statement on Human Ethics in Artificial Intelligence and Big Data Research, 2017
National Security Commission on Artificial Intelligence, Interim Report, 2019
Open AI, Open AI Charter
Partnership On AI, Tenets Partnership on AI
Rome Call for Ethics (Vatican AI Principles)
Royal Academy of Engineering, Statement of Ethical Principles, 2017
Sage, The Ethics of Code: Developing AI for Business with Five Core Principles, 2017
SAP, Guiding principles for Artificial Intelligence, 2018
Smart Dubai, Artificial Intelligence Ethics and Principle, 2018
Treasury Board of Canada Secretariat, Responsible use of artificial intelligence
Telefonica, AI Principles
Twitter, Moments Guidelines and Principles
UK Engineering and Physical Research Council: Principles of Robotics, 2011
UK Government, A Guide to Using Artificial Intelligence in the Public Sector, 2019
UK House of Lords, Artificial Intelligence Committee’s report, AI in the UK, 2017
UNESCO, Global Code of Ethics, 2018
UNESCO, Report of COMEST on Robotics Ethics, 2017
UNI Global Union, The Future World of Work, Top 10 Principles for Ethical AI
Université de Montréal, Montreal Declaration for Responsible AI, 2018
University of Notre Dame, A Code of Ethics for the Human Robot Interaction
Yi Zeng, Enmeng Lu, and Cunqing Huangfu, “Linking Artificial Intelligence Principles,” (2018)