AI PROTOCOL I
elaborated in the Spirit of the AI Constitution’s Principles and Provisions
Supranational Protocol
on Responsible AI Use and Labor Rights
Polina Prianykova
President of the Global AI Center,
International Human Rights Defender on AI,
Author of the First AI Constitution in World History
Preamble
Whereas the rapid development and deployment of Artificial Intelligence technologies demand a globally coordinated effort to ensure they enhance rather than compromise human rights and labor protections;
Acknowledging the fundamental rights and dignity of all humans as paramount, and recognizing the potential of AI to both support and challenge these rights;
Desiring to create a harmonized framework for the ethical use of AI that prioritizes human safety, rights to labor, and the maintenance of human dignity across all spheres of life;
Recalling the principles and spirit of the AI Constitution, authored by POLINA PRIANYKOVA, which establishes the framework for the coexistence of humankind and AI, emphasizing the supremacy of human rights, the importance of an AI-friendly environment, and the integration of AI into society under strict ethical, legal, and humanistic guidelines;
Hereby, the parties to this Protocol agree to uphold and integrate these principles, ensuring that AI’s deployment aligns with the lofty objectives of enhancing human capabilities without infringing upon human dignity and rights, fostering an environment where Artificial Intelligence operates not only as a technological asset but as a beneficent entity in the global society, adhering to the highest standards of legality, ethics, safety, and human rights as stipulated by the AI Constitution and this Protocol.
The parties to this Protocol agree as follows:
Article I – General Principles
1. Purpose: This Protocol, inspired by and in the spirit of the AI as framed by POLINA PRIANYKOVA under the auspices of the United Nations, establishes international legal standards for the use of Artificial Intelligence (AI). It aims to ensure AI operates within frameworks that uphold legality, ethics, safety, and human rights, thus supporting the development of AI as a beneficial and integrated aspect of global society.
2. Scope of Application: The provisions of this Protocol apply universally to all AI-related activities, irrespective of the technological sophistication or the sector of deployment. This universal applicability ensures that AI operations, from autonomous systems in localized devices to global AI in vast networked environments, adhere to the same high standards of operation as delineated by the AI Constitution and this Protocol.
3. Human-Centric AI Design and Deployment:
3.1 Ethical AI Development: AI shall be developed and deployed with a mandatory prioritization of human safety, dignity, and rights. It should enhance human capabilities without replacing human labor in sectors where ethical standards or human dignity could be compromised.
3.2 Rights of Digital Personhood: AI that qualifies for a status akin to Digital Personhood shall be endowed with specific rights and obligations tailored to prevent the erosion of human dignity or societal welfare, congruent with the stipulations of the AI Constitution.
3.3 Proactive AI Benefit Sharing: Efforts shall be directed to ensure that AI’s benefits are shared equitably across all strata of global society, contributing to a reduction in inequality and supporting sustainable development goals.
4. Adherence to International Standards and Local Compliance:
4.1 Regulatory Conformity: All AI entities must operate in strict conformity with both international digital laws and local legislation, promoting a safe and lawful integration of AI technologies worldwide.
4.2 Continuous Monitoring and Adaptation: Mechanisms shall be put in place for the continuous monitoring of AI developments, with periodic reviews and updates to regulations to adapt to new technological realities and societal impacts.
5. Innovation and Ethical Progression:
5.1 Encouragement of Ethical Innovation: The Protocol encourages innovation in AI technologies and applications that are aligned with ethical standards and promote human welfare, particularly in areas of public health, education, and environmental sustainability.
5.2 Ethical Boundaries of AI Deployment: Innovations in AI shall not extend to applications that manipulate, harm, or unduly influence human populations or individual freedoms, adhering to the AI Ethics Principle of neutrality and objectivity.
6. Transparency and Public Trust:
6.1 Transparency in AI Operations: Transparency in AI operations is imperative, ensuring that all AI-related decisions, especially those affecting public rights and freedoms, are conducted openly and are amenable to public scrutiny and debate.
6.2 Building Public Trust: Efforts shall be made to foster public understanding of AI technologies and their impacts, building trust through education, open dialogue, and participatory decision-making processes.
7. Global Cooperation and Oversight:
7.1 Establishment of a Global AI Regulatory Council: A Global AI Regulatory Council shall be established, comprising international representatives to oversee the strategic development of AI norms and standards, ensuring global interests and humanistic values are preserved.
7.2 Cross-Border Data Flows and AI Management: Special attention shall be given to managing cross-border data flows and the global operation of AI systems, ensuring that such operations do not contravene the sovereign laws of nations or the rights of individuals.
Article II – Labor Rights and AI
1. Inviolability of Human Labor:
1.1 Prohibition of Replacement in Protected Sectors: No Artificial Intelligence system shall replace human labor in sectors designated as protected, where the intrinsic value of human judgment and interaction is paramount. These sectors shall be defined and periodically reviewed by competent authorities.
1.2 Controlled Integration in Permissible Sectors: In sectors deemed permissible for partial AI integration, such deployment shall be meticulously regulated to ensure it complements human efforts without inducing workforce redundancy. Parameters for such integration shall be clearly defined and enforceable under national laws.
1.3 Complete Replacement in Hazardous Conditions: AI may wholly replace human labor exclusively in scenarios classified legally as extremely hazardous, where human health and safety are at significant risk. Such conditions include, but are not limited to, roles in hazardous environments, roles requiring exposure to toxic substances, and other high-risk industrial tasks. Determinations of such conditions shall be made by a duly authorized body and are subject to stringent oversight and regular reassessment.
2. Social Support and Retraining:
2.1 Comprehensive Social Support Measures: Individuals displaced or economically affected by AI integration are entitled to robust social support, including but not limited to:
2.1.1 Retraining Initiatives: State-sponsored retraining programs designed to equip affected workers with skills relevant to emerging job markets influenced by AI technologies. These programs shall incorporate advanced training tools, including Virtual Reality (VR) simulations, to provide immersive, practical training experiences that closely mimic real-world job environments.
2.1.2 Economic Compensation: Financial support shall be provided to ensure that individuals affected by AI displacement receive an income not less than their income prior to displacement. Alternatively, a supplemental income shall be provided to bring their reduced income up to its previous level, thus mitigating the economic impact of job transition.
2.1.3 Health Benefits: Continuous access to medical insurance or equivalent benefits shall be maintained for individuals affected by AI-related job displacement. This includes psychological support and counseling to help individuals cope with career transitions and the stress associated with adapting to new employment landscapes.
2.2 Integration of Virtual Reality Job Simulation:
2.2.1 Application in Retraining: Virtual reality technology shall be integrated into retraining programs to simulate job roles that are expected to see significant AI integration. This will enable trainees to develop hands-on experience and familiarity with AI tools and environments, enhancing their adaptability and employability.
2.2.2 Continuous Update and Development: VR simulation content shall be continuously updated to reflect the latest AI advancements and job market requirements, ensuring that the training remains relevant and effective.
2.3 Monitoring and Enforcement:
2.3.1 Establishment of an Oversight Body: The Cross-National AI Labor Council (hereinafter referred to as the ‘House of Labor’) shall serve as the oversight body responsible for ensuring the implementation, continuous monitoring, and regular assessment of social support mechanisms. This body will also be tasked with adapting support measures to evolving labor market conditions influenced by AI advancements. The House of Labor will coordinate with national labor agencies to ensure a harmonized approach to labor standards and worker protection across member states.
2.3.2 Regular Reporting and Evaluation: The House of Labor shall regularly report on the effectiveness of social support measures, including the success of retraining programs and the integration of VR simulations into workforce development. These reports must be comprehensive and include quantitative and qualitative metrics to evaluate the reach and impact of such programs. Based on these evaluations, the House of Labor will provide recommendations for legislative or policy adjustments, aiming to optimize support strategies and ensure that they are responsive to the dynamic needs of the workforce affected by AI deployment.
2.3.3 Data Privacy and Security Measures: Implement stringent data privacy and security measures to protect all data collected and processed through social support and retraining initiatives. Establish protocols for anonymization, secure data storage, and restricted access to ensure that individual and corporate data confidentiality is maintained. These measures will safeguard sensitive personal information and comply with international data protection standards, fostering trust among participants and stakeholders.
2.3.4 Enhanced Transparency and Stakeholder Engagement: Enhance transparency in the operations of social support mechanisms by engaging a broad spectrum of stakeholders in the evaluation and improvement process. This includes workers, labor unions, industry representatives, and AI ethics advocates. Stakeholder forums and public consultations will be held regularly to gather diverse insights and feedback, which will be integral to refining support programs and ensuring they are equitable and effective.
3. Education and Prognostication:
3.1 Mandatory Educational Forecasting: All accredited educational entities are mandated to furnish both prospective and enrolled students and their legal representatives with rigorous, quantitatively substantiated forecasts pertaining to the viability of professions within the rapidly transforming job market influenced by AI technologies. These reader-friendly forecasts shall include, but are not limited to, detailed statistical analyses, trend projections, and sector-specific employment outlooks, thereby enabling students to make well-informed decisions regarding their future educational and professional paths.
3.2 Informed Choice in Education:
3.2.1 Prohibition of Training for Non-Viable Professions: It is hereby prohibited to offer or continue educational programs and training for professions determined to lack viable employment opportunities in the foreseeable future within the AI-impacted economic landscape, except under extenuating circumstances that justify such educational pursuits for reasons of cultural preservation, public interest, or other significant societal considerations.
3.2.2 Informed Consent for High-Risk Professions: Individuals electing to engage in educational programs directed towards high-risk professions — those susceptible to rapid obsolescence yet integral to addressing critical societal needs, including but not limited to emergency responses to AI-related incidents — shall be provided with exhaustive disclosures regarding the occupational hazards, potential for professional displacement, and the probabilistic employment trajectory post-training. Prior to admission into such programs, candidates must execute an informed consent agreement, duly acknowledging their comprehensive understanding of the profession’s precariousness and their voluntary assumption of associated risks.
3.2.3 Continuation of Essential Skills: Notwithstanding the risk of obsolescence, training programs essential for the maintenance of public safety, security, and welfare — including those preparing individuals for roles pivotal in managing AI systems and responding to AI-centric emergencies — shall continue to receive institutional support. This provision ensures the perpetuation of indispensable skills critical to national security and public safety, facilitating a strategic reserve of trained professionals capable of interfacing effectively with AI technologies under adverse conditions.
4. Mandatory AI Risk Insurance:
4.1 Insurance Requirement: All entities deploying Artificial Intelligence technologies at a scale or in capacities that significantly impact socio-economic structures must secure AI risk insurance. This insurance must comprehensively cover both the direct and indirect economic and social costs attributable to potential failures or disruptions caused by such technologies. Coverage should sufficiently compensate affected workers and communities, thereby serving as a robust safety net for AI-induced contingencies.
4.2 Enforcement: Enforcement of this insurance mandate shall fall under the jurisdiction of respective national AI regulatory authorities. These bodies are tasked with rigorous oversight and enforcement, ensuring full compliance with insurance coverage standards. They shall implement periodic audits and require disclosures from insured entities to verify adherence to the mandated insurance requirements.
5. AI Deployment Certification:
5.1 Certification Process: A formal certification process shall be instituted for entities that demonstrate adherence to the highest standards of ethical AI deployment. The process will evaluate compliance with established best practices concerning AI ethics, labor impacts, and integration strategies. The certification protocol will be developed in alignment with globally recognized standards, akin to ISO certifications but specifically tailored to ethical AI deployment.
5.2 Certification Benefits: Certification under this scheme will confer recognized status on compliant companies, showcasing their commitment to ethical AI practices. This recognition will not only enhance their global competitiveness but also foster greater operational transparency. Certified entities will be publicly listed in an international registry maintained by the Global AI Safety and Rights Repository, accessible to consumers, investors, and regulatory bodies, thereby facilitating informed decision-making and fostering a trustworthy AI ecosystem.
6. Reporting and Compliance:
6.1 Annual Compliance Reporting: Each state party is required to submit detailed annual reports on the implementation of labor protections, which include data on AI integration impacts, the efficacy of social support systems, and compliance with educational forecasting requirements. These reports shall be submitted to the AI Regulatory Council, which will subsequently direct the reports to the designated House of the Council for review. Upon approval, these reports must be uploaded to the Global AI Safety and Rights Repository to ensure transparency and accessibility. Further details on repository functions and access are stipulated in the related articles of this Protocol.
6.2 Independent Audits: To ensure the faithful application of this Protocol’s provisions, regular independent audits will be conducted. These audits are crucial for verifying compliance particularly regarding labor protections and the integration of AI in the workforce. Audit findings will also be documented and shared through the Global AI Safety and Rights Repository to maintain a record of compliance and to facilitate corrective actions where necessary.
Article III – AI-Human Collaborative Index
1. Establishment and Purpose:
1.1 Creation of the Index: A quantitatively driven AI-Human Collaborative Index shall be established, mandated to measure and evaluate the collaborative dynamics between human labor forces and Artificial Intelligence systems across various sectors. This index shall assess factors including but not limited to productivity, job satisfaction, innovation rates, and economic impacts arising from AI-human collaborations.
1.2 Objective: The primary objective of this index is to provide a robust, empirical basis for evaluating the effectiveness of AI integration in enhancing human work environments and for identifying areas where AI deployment could be optimized to promote human welfare and workplace innovation.
2. Data Collection and Methodology:
2.1 Comprehensive Metrics: The index shall employ a range of metrics designed to capture the nuanced impacts of AI on the workforce. These metrics will include qualitative assessments from employee satisfaction surveys, quantitative data from productivity records, and economic analyses conducted by independent experts.
2.2 Standardization of Data Collection: Data collection methods shall be standardized to ensure consistency and reliability across different industries and countries. This standardization will facilitate comparative analysis and benchmarking of AI-human interaction effectiveness.
3. Implementation and Utilization:
3.1 Implementation Strategy: Each signatory state is required to implement the AI-Human Collaborative Index within their national AI programs. States must collect data annually, following the prescribed methodologies, to maintain up-to-date insights into the state of AI-human collaborations.
3.2 Policy Application: The results derived from the index shall be utilized to inform and refine national policies on AI deployment. Insights gained from the index will guide legislative and regulatory adjustments, aiming to enhance AI integration strategies and to mitigate any identified risks or deficiencies.
4. Reporting and Review:
4.1 Annual Reporting: Signatory states shall submit annual reports to an appointed International AI Collaboration Oversight Committee, detailing the findings and trends identified through the AI-Human Collaborative Index.
4.2 Periodic Review and Updates: The methodologies and metrics of the AI-Human Collaborative Index shall be subject to periodic review by an international panel of AI and labor experts, to ensure they remain relevant and effectively aligned with technological advancements and labor market evolutions.
5. Adjustment and Innovation Encouragement:
5.1 Continuous Improvement: Based on annual index results, signatory states shall be encouraged to implement targeted improvements in AI-human collaboration areas identified as underperforming or having significant potential for enhanced synergies.
5.2 Innovation Incentives: States demonstrating exceptional improvements and innovative practices in AI-human collaboration, as measured by the index, shall be eligible for international recognition and support, including grants and access to exclusive international research and development programs.
6. Oversight by International AI Collaboration Oversight Committee:
6.1 Administrative Responsibility: The International AI Collaboration Oversight Committee shall oversee the administration of the AI-Human Collaborative Index, ensuring that the collection, analysis, and reporting of data are conducted in accordance with the highest standards of accuracy and ethical considerations.
6.2 Strategic Guidance: The Committee will provide strategic guidance on the utilization of the Index to inform international policies and collaborative efforts aimed at enhancing AI-human integration across various sectors.
6.3 Public Access and Repository Inclusion: The AI-Human Collaborative Index shall be publicly accessible and systematically included in the Global AI Safety and Rights Repository. This inclusion ensures that the data and findings from the index are transparent and readily available to all stakeholders and the public, enhancing global understanding and collaborative potential in AI-human integration practices.
Article IV –
International
AI Collaboration Oversight Committee
1. Establishment and Purpose:
1.1 Establishment: The International AI Collaboration Oversight Committee (hereinafter referred to as the ‘Committee’) is hereby established as an independent supervisory body dedicated to overseeing the collaborative efforts in AI development, deployment, and regulation at an international level.
1.2 Purpose: The Committee’s primary purpose is to ensure that AI development and deployment across nations adhere to agreed-upon ethical standards, international human rights norms, and labor regulations, thereby facilitating a coordinated and harmonious approach to global AI challenges.
2. Composition and Membership:
2.1 Composition: The Committee shall be composed of representatives from various stakeholder groups, including governmental bodies, academic institutions, the private sector, non-governmental organizations, and civil society, reflecting a broad range of expertise in AI ethics, law, technology, labor rights, and international relations.
2.2 Selection Process: Members shall be appointed based on their expertise, experience, and contribution to the field of AI, with consideration given to achieving geographical and gender diversity to represent global perspectives fairly.
3. Roles and Responsibilities:
3.1 Oversight of International Collaboration: The Committee will oversee and facilitate international collaborative projects in AI, ensuring that such projects align with ethical guidelines and international standards.
3.2 Development of Guidelines: The Committee is tasked with developing and updating guidelines for ethical AI collaboration, focusing on transparency, accountability, and the protection of human and labor rights.
3.3 Monitoring and Reporting: It will monitor international AI projects and initiatives, providing regular reports on their compliance with ethical standards and their impact on society and labor markets.
3.4 Management of the AI-Human Collaborative Index:
3.4.1 Index Oversight: The Committee is tasked with the oversight of the AI-Human Collaborative Index, ensuring it effectively measures and evaluates the dynamics between human labor forces and AI systems, facilitating improvements in AI deployments worldwide.
3.4.2 Policy Implementation: Utilize insights from the Index to guide the development of international standards and practices that promote optimal collaboration between humans and AI, enhancing workplace productivity and human welfare globally.
3.5 Management of the Global AI Safety and Rights Repository:
3.5.1 Repository Oversight: The Committee shall oversee the Global AI Safety and Rights Repository, ensuring it serves as a comprehensive resource center for the storage and dissemination of AI-related legislative documents, best practices, and ethical guidelines globally. This responsibility includes supervising the repository’s operations, verifying the accuracy of the contents, and ensuring timely updates and compliance with international data protection regulations.
3.5.2 Standardization and Accessibility: Develop and enforce standards for the submission and formatting of documents to ensure consistency and ease of access. The Committee will facilitate the establishment of protocols that govern how documents are uploaded, stored, and accessed, maintaining high standards for data integrity and security.
3.5.3 Compliance Monitoring: Monitor compliance by member states with the requirement to submit legislative updates to the repository within the stipulated timeframe. This includes implementing mechanisms to track submissions, verify document authenticity, and ensure that all member states adhere to their obligations under the Protocol.
3.5.4 Legal and Ethical Compliance: Ensure that the repository operates in strict compliance with international legal standards and ethical guidelines. This involves regular audits of the repository’s operations, conducted by appointed experts or third-party organizations, to safeguard against any form of data misuse or breach of confidentiality.
3.5.5 Resource Allocation and Management: Manage resources allocated for the maintenance and enhancement of the repository, including technological upgrades and staff training. Ensure that sufficient funding and expertise are available to support the ongoing operational needs of the repository, thereby guaranteeing its effectiveness and reliability.
3.5.6 Public Access and Engagement: Promote the repository as a key public resource for knowledge about AI regulations and practices worldwide. This includes providing open access where appropriate and engaging with academic, legal, and professional communities to encourage the use of the repository as a research and reference tool.
4. Authority and Enforcement Powers:
4.1 Regulatory Authority: The Committee will have the authority to recommend changes to international policies and practices concerning AI development and deployment based on its monitoring and evaluations.
4.2 Enforcement Powers: While the Committee will primarily work through consensus and advisory roles, it may also be granted specific enforcement powers to deal with violations of international agreements, such as the imposition of sanctions or the recommendation for suspension of AI projects that violate ethical standards.
5. Collaboration and Information Sharing:
5.1 International Collaboration: The Committee will facilitate and encourage collaboration between nations and across sectors to leverage collective knowledge and resources in addressing AI challenges.
5.2 Information Sharing: It will establish a secure platform for sharing information and best practices among international partners, promoting transparency and mutual learning.
6. Capacity Building and Education:
6.1 Training Programs: The Committee will organize training programs and workshops for AI practitioners and policymakers on ethical AI development and collaborative practices.
6.2 Public Education Campaigns: It will also initiate public education campaigns to raise awareness about the ethical implications of AI and the importance of international cooperation in managing AI’s societal impacts.
7. Review and Adaptation:
7.1 Periodic Review: The Committee will periodically review its own effectiveness and the relevance of its guidelines and strategies, adapting them as necessary to keep pace with technological advancements and changes in the international landscape.
7.2 Stakeholder Feedback: Regular feedback mechanisms will be established to gather input from diverse stakeholders, ensuring that the Committee’s activities remain aligned with the broader community’s needs and expectations.
8. In compliance with the AI Constitution, the supervision of the Committee will be undertaken by the following bodies:
8.1 AI Regulatory Council: As the supreme authority within the AI regulatory system, the AI Regulatory Council is tasked with overseeing the strategic direction and compliance of the International AI Collaboration Oversight Committee. This includes approving, amending, or vetoing strategic guidelines and operational directives proposed by the Oversight Committee to ensure alignment with global AI safety and rights standards.
8.2 AI Synergetic Center: The AI Synergetic Center, acting under the directives of the AI Regulatory Council, shall be responsible for the day-to-day management and implementation of the decisions affecting international AI collaboration. This includes the execution of policies and standards that pertain to cross-border AI operations and collaborations maintained or monitored by the Oversight Committee.
8.3 AI Regulatory Arbitrators: The AI Regulatory Arbitrators will monitor the legal compliance of the International AI Collaboration Oversight Committee’s activities. This includes auditing operations, resolving disputes, and ensuring that the Committee’s functions adhere to the ethical and legal standards as prescribed in the AI Constitution and associated Digital Legislation.
8.4 Supervision over AI-Human Collaborative Index Functions:
8.4.1 Supervisory Role of AI Regulatory Council: The AI Regulatory Council, along with the House of Labor, will jointly review and approve the methodologies and findings of the AI-Human Collaborative Index as managed by the International AI Collaboration Oversight Committee. This collaborative supervision ensures that the Index’s operations align with international AI governance standards and adequately reflect the labor perspectives crucial for comprehensive AI policy-making. The House of Labor, in its capacity, provides additional oversight focusing on labor-specific impacts and the integration of labor standards within the Index’s framework.
8.4.2 Coordination with AI Synergetic Center: The AI Synergetic Center will coordinate the practical implementation of strategies derived from the AI-Human Collaborative Index, applying these strategies to enhance AI safety protocols and labor practices globally.
8.4.3 Monitoring by AI Regulatory Arbitrators: The AI Regulatory Arbitrators will ensure that the administration of the AI-Human Collaborative Index adheres strictly to the legal and ethical standards set forth in the AI Constitution, addressing any discrepancies or issues of non-compliance.
Article V –
Global AI Safety and Rights Repository
1. Establishment and Purpose:
1.1 Establishment: The Global AI Safety and Rights Repository is hereby established as an official website to consolidate and disseminate global knowledge and regulatory practices concerning the safe and ethical deployment of Artificial Intelligence. This platform will serve as the primary access point for all repository content.
1.2 Purpose: The repository aims to support international cooperation by providing a comprehensive database of AI safety standards, labor rights protections, ethical guidelines, and regulatory frameworks. This online resource will enhance the ability of member states and organizations to develop and implement effective AI governance and labor practices.
2. Content and Scope:
2.1 Content Collection: The repository will gather information including but not limited to:
• International and national AI regulations and laws
• Best practices in AI safety and ethics
• Research papers and articles on AI’s impact on labor and employment
• Case studies of AI integration across various sectors
• Guidelines on the protection of digital personhood and AI-human interaction
2.2 Scope of Access: The repository will be accessible to government bodies, academic institutions, industry stakeholders, and the public, ensuring transparency and widespread dissemination of knowledge.
3. Management and Oversight:
3.1 Administrative Responsibility: The management of the repository will be overseen by the International AI Collaboration Oversight Committee, which will ensure the accuracy and relevance of the information.
3.2 Updating and Maintenance: The repository’s content will be regularly updated to reflect the latest advancements and insights in AI technology and labor practices.
4. Utilization and Impact:
4.1 Policy Development: Policymakers and regulators can utilize the repository to inform and refine AI governance frameworks, ensuring they are based on the latest and most effective practices.
4.2 Research and Development: Researchers and developers can use the repository to stay informed about safety and ethical standards, helping to guide the development of new AI technologies that are compliant with established norms.
5. Funding and Resources:
5.1 Financial Support: The repository’s operations will be funded through contributions from member states, supplemented by grants from international technological and human rights organizations.
5.2 Resource Allocation: Adequate resources, both technological and human, will be allocated to maintain the repository’s infrastructure and to ensure it meets the needs of its global users effectively.
6. Review and Adaptation:
6.1 Periodic Review: The effectiveness of the repository will be reviewed biennially by the International AI Collaboration Oversight Committee to ensure it continues to meet its objectives and serves the evolving needs of the AI and labor rights community.
6.2 Adaptation of Practices: Based on feedback and technological advancements, the repository will adapt its practices to continue providing valuable and current information to its users.
7. Compliance and Accountability:
7.1 Document Submission Requirements: Each member state is required to maintain a dedicated page within the Global AI Safety and Rights Repository for the publication of all newly enacted or significantly amended AI-related legislative documents. These documents must be uploaded to the repository within two days following their official enactment or amendment.
7.2 International Transparency: The obligation to publish legislative changes promptly is designed to ensure that all member states have immediate access to the latest legal standards and requirements, facilitating a uniform understanding and implementation of AI regulations globally.
7.3 Legal Binding and Liability:
7.3.1 Enforcement of Submission Timelines: Failure to comply with the document submission timelines shall be considered a breach of the Protocol, subjecting the defaulting state to potential sanctions or other corrective actions as determined by the International AI Collaboration Oversight Committee.
7.3.2 Liability for Misrepresentation: Any misrepresentation, falsification, or omission in the documentation provided to the repository is legally actionable. The individual(s) responsible for such discrepancies will be held liable under international law, facing potential legal penalties including fines, suspension of AI development privileges, or other sanctions as appropriate.
7.3.3 Monitoring and Audits: Regular audits will be conducted by the AI Regulatory Arbitrators to verify the accuracy and completeness of the information posted to the repository. These audits will help prevent malpractice and ensure that all member states adhere to the highest standards of transparency and ethical governance.
7.3.4 Remedial Measures: In cases of non-compliance or misrepresentation, the affected state will be required to take immediate remedial actions to correct the record and prevent future occurrences. The specifics of required actions will be outlined by the International AI Collaboration Oversight Committee.
Article VI –
Cross-National AI Labor Council
(‘House of Labor’)
1. Purpose and Establishment:
1.1 Recognizing the imperative need for a harmonized approach to Artificial Intelligence (AI) governance as it pertains to labor and employment across national boundaries, the Cross-National AI Labor Council, hereinafter referred to as the ‘House of Labor,’ is hereby constituted under the auspices of the AI Regulatory Council.
1.2 The House of Labor is established as the principal advisory and legislative body tasked with addressing the intersections of AI technology and global labor markets, ensuring that AI deployment enhances rather than undermines human labor across member states.
2. Composition and Membership:
2.1 The House of Labor shall consist of representatives from member states, appointed for their expertise in labor law, AI technology, ethics, and international relations.
2.2 Membership shall include government officials, labor union representatives, AI industry experts, and academicians, thereby ensuring a diverse and comprehensive representation of all stakeholders in AI labor issues.
3. Roles and Responsibilities:
3.1 Develop and promulgate international labor standards and regulations for AI deployment, focusing on safe, ethical, and beneficial integration of AI into the workforce.
3.2 Assess the impacts of AI on employment, working conditions, and labor rights, and devise strategies to mitigate any adverse effects.
3.3 Facilitate international cooperation and dialogue on AI labor policies, serving as a platform for the exchange of best practices and the harmonization of regulatory approaches across countries.
3.4 Provide advisory support to member states in implementing internationally agreed-upon AI labor standards and adapting national legislation to conform to these standards.
3.5 Documentation and Publication: Documentation of the developments, standards, regulations, and advisory support as described afore shall be systematically uploaded to the Global AI Safety and Rights Repository. This will ensure all member states and relevant stakeholders have access to up-to-date information and can maintain alignment with international labor and AI safety standards.
4. Powers:
4.1 Issue binding resolutions to member states regarding AI and labor, contingent upon ratification by the AI Regulatory Council.
4.2 Impose sanctions or recommend corrective actions against member states that fail to comply with international AI labor standards.
4.3 Undertake investigations and conduct audits on AI labor practices across member states to ensure adherence to international agreements and standards.
5. Operational Framework:
5.1 The House of Labor shall convene biannually, or as necessitated by emerging issues, to review AI labor policies, discuss new challenges, and revise its directives accordingly.
5.2 Establish specialized committees to address distinct aspects of AI and labor, including ethical AI deployment, workforce retraining programs, and enforcement of cross-border labor rights.
6. Reporting and Accountability:
6.1 Annually, the House of Labor must submit comprehensive reports to the AI Regulatory Council detailing its operations, findings, and the status of AI labor standard implementations globally.
6.2 Independent audits of the House of Labor shall be performed periodically by the AI Regulatory Arbitrators to evaluate the operational transparency and effectiveness of its activities. These audits are intended to ensure that the House of Labor adheres strictly to the legal and ethical standards prescribed in the AI Constitution and Digital Legislation. The results of these audits will help in identifying areas of improvement, ensuring that the House of Labor effectively fulfills its mandate and maintains the highest standards of accountability and efficiency in its operations.
7. Resource Allocation and Funding:
7.1 Adequate financial and human resources shall be allocated to the House of Labor to effectively fulfill its mandates. It is fully prohibited for funding to be sourced from contributions that could potentially influence the independence and unbiased decision-making of the House of Labor. This includes barring any financial contributions from private enterprises or international bodies that could exert undue influence. Funding shall solely consist of allocations from member states, managed under stringent guidelines to safeguard the impartiality and integrity of the House of Labor.
7.2 Financial operations of the House of Labor shall adhere to strict standards of transparency and accountability, with detailed budgets and financial reports required as part of the annual reporting process.
8. Amendment and Revision:
8.1 The legislative framework and operational structure of the House of Labor shall be subject to review and potential amendment every five years, or sooner if necessitated by significant changes in the AI and labor markets. Any proposed amendments must receive a two-thirds majority approval from the AI Regulatory Council to be enacted.
Officially Published:
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November 12 – 15, 2024, Seville, Spain (Table of Contents, №29) https://isg-konf.com/wp-content/uploads/2024/11/MODERN-GENERATION-CURRENT-PROBLEMS-EXPERIENCE-DEVELOPMENT-PROSPECTS.pdf
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November 19 – 22, 2024, Rotterdam, Netherlands (Table of Contents, №26) https://isg-konf.com/wp-content/uploads/2024/11/PROSPECTIVE-DIRECTIONS-OF-MODERN-SCIENCE-AND-EDUCATION-IN-THE-WORLD.pdf
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