Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

Collective governance

Companies should work together to self regulate the industry.

Principle: Seeking Ground Rules for A.I.: The Recommendations, Mar 1, 2019

Published by New Work Summit, hosted by The New York Times

Related Principles

(e) Democracy

Key decisions on the regulation of AI development and application should be the result of democratic debate and public engagement. A spirit of global cooperation and public dialogue on the issue will ensure that they are taken in an inclusive, informed, and farsighted manner. The right to receive education or access information on new technologies and their ethical implications will facilitate that everyone understands risks and opportunities and is empowered to participate in decisional processes that crucially shape our future. The principles of human dignity and autonomy centrally involve the human right to self determination through the means of democracy. Of key importance to our democratic political systems are value pluralism, diversity and accommodation of a variety of conceptions of the good life of citizens. They must not be jeopardised, subverted or equalised by new technologies that inhibit or influence political decision making and infringe on the freedom of expression and the right to receive and impart information without interference. Digital technologies should rather be used to harness collective intelligence and support and improve the civic processes on which our democratic societies depend.

Published by European Group on Ethics in Science and New Technologies, European Commission in Ethical principles and democratic prerequisites, Mar 9, 2018

Open Governance

Principle: The ability of various stakeholders, whether civil society, government, private sector or academia and the technical community, to inform and participate in the governance of AI is crucial for its safe deployment. Recommendations: Promote Multistakeholder Governance: Organizations, institutions and processes related to the governance of AI need to adopt an open, transparent and inclusive approach. It should be based on four key attributes: Inclusiveness and transparency; Collective responsibility; Effective decision making and implementation and Collaboration through distributed and interoperable governance

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" in Guiding Principles and Recommendations, Apr 18, 2017

Regulation

Companies should work with regulators to develop appropriate laws to govern the use of A.I.

Published by New Work Summit, hosted by The New York Times in Seeking Ground Rules for A.I.: The Recommendations, Mar 1, 2019

· Multi stakeholder and adaptive governance and collaboration

46. International law and national sovereignty must be respected in the use of data. That means that States, complying with international law, can regulate the data generated within or passing through their territories, and take measures towards effective regulation of data, including data protection, based on respect for the right to privacy in accordance with international law and other human rights norms and standards. 47. Participation of different stakeholders throughout the AI system life cycle is necessary for inclusive approaches to AI governance, enabling the benefits to be shared by all, and to contribute to sustainable development. Stakeholders include but are not limited to governments, intergovernmental organizations, the technical community, civil society, researchers and academia, media, education, policy makers, private sector companies, human rights institutions and equality bodies, anti discrimination monitoring bodies, and groups for youth and children. The adoption of open standards and interoperability to facilitate collaboration should be in place. Measures should be adopted to take into account shifts in technologies, the emergence of new groups of stakeholders, and to allow for meaningful participation by marginalized groups, communities and individuals and, where relevant, in the case of Indigenous Peoples, respect for the self governance of their data.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021

8. Establish Global Governance Mechanisms

UNI recommends the establishment of multi stakeholder Decent Work and Ethical AI governance bodies on global and regional levels. The bodies should include AI designers, manufacturers, owners, developers, researchers, employers, lawyers, CSOs and trade unions. Whistleblowing mechanisms and monitoring procedures to ensure the transition to, and implementation of, ethical AI must be established. The bodies should be granted the competence to recommend compliance processes and procedures.

Published by UNI Global Union in Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017