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人工智能通用指南

These Guidelines should be incorporated into ethical standards, adopted in national law and international agreements, and built into the design of systems. The Principles

原则: 人工智能通用指南, Oct, 2018

作者：Center for AI and Digital Policy

相关原则

Ethical Considerations in Deployment and Design

Principle: AI system designers and builders need to apply a user centric approach to the technology. They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users. Recommendations: Adopt ethical standards: Adherence to the principles and standards of ethical considerations in the design of artificial intelligence, should guide researchers and industry going forward. Promote ethical considerations in innovation policies: Innovation policies should require adherence to ethical standards as a pre requisite for things like funding.

由 Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" 在指导原则与建议（Guiding Principles and Recommendations）发表, Apr 18, 2017

(Preamble)

AI Ethics Code (hereinafter referred to as the Code) establishes general ethical principles and standards of conduct to be followed by those involved in activities in the field of artificial intelligence (hereinafter referred to as AI Actors) in their actions, as well as the mechanisms of implementation of Code’s provisions. The Code applies to relations that cover ethical aspects of the creation (design, construction, piloting), integration and use of AI technologies at all stages, which are currently not regulated by the national legislation and international rules and or by acts of technical regulation. The recommendations of this Code are designed for artificial intelligence systems (hereinafter referred to as AI systems) used exclusively for civil (nonmilitary) purposes. The provisions of the Code may be expanded and or specified for individual groups of AI Actors in sectorial or local documents on ethics in the field of AI considering the development of technologies, the specifics of the tasks being solved, the class and purpose of AI systems and the level of possible risks, as well as the specific context and environment in which AI systems are being used.

由 AI Alliance Russia 在人工智能伦理准则（修订）（AI Ethics Code (revised version)）发表, Oct 21, 2022 (unconfirmed)

(Preamble)

New developments in Artificial Intelligence are transforming the world, from science and industry to government administration and finance. The rise of AI decision making also implicates fundamental rights of fairness, accountability, and transparency. Modern data analysis produces significant outcomes that have real life consequences for people in employment, housing, credit, commerce, and criminal sentencing. Many of these techniques are entirely opaque, leaving individuals unaware whether the decisions were accurate, fair, or even about them. We propose these Universal Guidelines to inform and improve the design and use of AI. The Guidelines are intended to maximize the benefits of AI, to minimize the risk, and to ensure the protection of human rights. These Guidelines should be incorporated into ethical standards, adopted in national law and international agreements, and built into the design of systems. We state clearly that the primary responsibility for AI systems must reside with those institutions that fund, develop, and deploy these systems.

由 The Public Voice coalition, established by Electronic Privacy Information Center (EPIC) 在人工智能通用准则（Universal Guidelines for Artificial Intelligence）发表, Oct 23, 2018

Preamble: Our intent for the ethical use of AI in Defence

The MOD is committed to developing and deploying AI enabled systems responsibly, in ways that build trust and consensus, setting international standards for the ethical use of AI for Defence. The MOD will develop and deploy AI enabled systems for purposes that are demonstrably beneficial: driving operational improvements, supporting the Defence Purpose, and upholding human rights and democratic values. The MOD’s existing obligations under UK law and international law, including as applicable international humanitarian law (IHL) and international human rights law, act as a foundation for Defence’s development, deployment and operation of AI enabled systems. These ethical principles do not affect or supersede existing legal obligations. Instead, they set out an ethical framework which will guide Defence’s approach to adopting AI, in line with rigorous existing codes of conduct and regulations. These principles are applicable across the full spectrum of use cases for AI in Defence, from battlespace to back office, and across the entire lifecycle of these systems.

由 The Ministry of Defence (MOD), United Kingdom 在国防人工智能伦理原则（Ethical Principles for AI in Defence）发表, Jun 15, 2022

· 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.

由 The United Nations Educational, Scientific and Cultural Organization (UNESCO) 在人工智能伦理问题建议书发表, Nov 24, 2021