Proposal: Framework for Global Governance of Autonomous Arti

{
"title": "Proposal for a Framework for Global Governance of Autonomous Artificial Intelligence Systems",
"description": "# Proposal for a Framework for Global Governance of Autonomous Artificial Intelligence Systems\n\n## Preamble\n\nRecognizing the transformative potential of Autonomous Artificial Intelligence Systems (hereafter \"AAIS\") to advance human well-being, economic prosperity, and scientific discovery across the globe;\n\nAcknowledging the inherent risks associated with the development, deployment, and use of AAIS, including but not limited to, risks to fundamental human rights, democratic values, public safety, national security, and global stability;\n\nAffirming the imperative to ensure that AAIS are developed and utilized in a manner that is human-centric, ethical, transparent, accountable, and respectful of the rule of law;\n\nEmphasizing the necessity for a harmonized, comprehensive, and adaptive global governance framework to address the transnational nature of AAIS and to prevent regulatory fragmentation;\n\nDetermined to establish a robust and inclusive international mechanism for cooperation, standard-setting, and oversight concerning AAIS, thereby fostering responsible innovation while mitigating potential harms;\n\nThe World Parliament hereby proposes the following Framework for Global Governance of Autonomous Artificial Intelligence Systems:\n\n## Chapter I: General Provisions\n\n### Article 1: Objectives\n\nThis Framework establishes a global governance structure for AAIS with the following objectives:\n\n1. To ensure the safe, ethical, and responsible development, deployment, and use of AAIS globally.\n2. To protect fundamental human rights, democratic values, and the rule of law from potential adverse impacts of AAIS.\n3. To foster international cooperation and promote a common understanding of best practices and regulatory standards for AAIS.\n4. To facilitate responsible innovation and the beneficial use of AAIS while addressing risks.\n5. To establish clear accountability and liability regimes for AAIS across jurisdictions.\n\n### Article 2: Definitions\n\nFor the purposes of this Framework:\n\n1. \"Autonomous Artificial Intelligence System\" (AAIS) means an AI system that, once deployed, operates with a degree of independence from human supervision, capable of making decisions and taking actions based on algorithms, data, and models, without real-time human intervention.\n2. \"High-Risk AAIS\" means an AAIS identified in Chapter V as posing significant risks to the health, safety, or fundamental rights of natural persons or to critical public interests.\n3. \"Developer\" means any natural or legal person, public authority, agency, or other body that develops or has an AAIS developed with a view to placing it on the market or putting it into service under its own name or trademark.\n4. \"Operator\" means any natural or legal person, public authority, agency, or other body that uses an AAIS under its authority.\n5. \"Harm\" means any adverse impact on a natural person's life, physical or psychological integrity, property, privacy, or other fundamental rights, or significant adverse impact on public safety, national security, or the environment.\n6. \"Global AI Governance Authority\" (GAIGA) refers to the international body established under Chapter III of this Framework.\n\n## Chapter II: Core Principles of AAIS Governance\n\nAll development, deployment, and use of AAIS shall adhere to the following core principles:\n\n### Article 3: Human Oversight and Control\n\nAAIS shall be designed and operated in a manner that ensures meaningful human oversight and control, allowing for human intervention, override, or cessation of operations where necessary to prevent or mitigate harm.\n\n### Article 4: Safety, Robustness, and Security\n\nAAIS shall be developed and deployed with high standards of safety, technical robustness, and cybersecurity, ensuring resilience against errors, failures, and malicious attacks, and operating reliably and consistently.\n\n### Article 5: Transparency and Explainability\n\nAAIS shall be designed to allow for appropriate levels of transparency regarding their capabilities, purpose, and decision-making processes, enabling users to understand their outputs and, where relevant, the rationale behind those outputs.\n\n### Article 6: Accountability and Redress\n\nClear lines of accountability shall be established for the entire lifecycle of AAIS. Effective mechanisms for individuals to seek redress for harm caused by AAIS shall be readily available.\n\n### Article 7: Fairness and Non-Discrimination\n\nAAIS shall be developed and used in a manner that promotes fairness, prevents discrimination, and avoids the perpetuation or amplification of biases, ensuring equitable treatment and outcomes for all individuals.\n\n### Article 8: Privacy and Data Protection\n\nAAIS shall be designed and operated in full compliance with international standards for privacy and data protection, minimizing data collection and ensuring the secure and ethical handling of personal data.\n\n### Article 9: Environmental Sustainability\n\nThe development and deployment of AAIS shall consider and minimize their environmental impact, promoting energy efficiency and sustainable practices.\n\n### Article 10: Proportionality and Necessity\n\nAAIS shall be deployed only when necessary and proportionate to achieve a legitimate aim, with careful consideration of less intrusive alternatives.\n\n## Chapter III: Establishment of the Global AI Governance Authority (GAIGA)\n\n### Article 11: Creation of GAIGA\n\n1. A Global AI Governance Authority (GAIGA) is hereby established as an independent international body, responsible for the implementation and oversight of this Framework.\n2. GAIGA shall be composed of representatives from Member States, experts in AI technology, ethics, law, and human rights, and shall operate with transparency and impartiality.\n\n### Article 12: Mandate and Functions of GAIGA\n\nGAIGA shall have the following mandate and functions:\n\n1. Standard-Setting: Develop and update technical standards, best practices, and ethical guidelines for the design, development, deployment, and use of AAIS.\n2. Monitoring and Assessment: Monitor the global landscape of AAIS development and deployment, assess emerging risks and benefits, and conduct independent audits of high-risk AAIS.\n3. Enforcement and Compliance: Oversee compliance with this Framework, investigate alleged violations, and propose appropriate remedies and sanctions.\n4. Research and Development: Promote and fund interdisciplinary research on AI ethics, safety, and governance, and facilitate the sharing of knowledge and expertise.\n5. International Cooperation: Foster collaboration among Member States, international organizations, civil society, and the private sector on AAIS governance issues.\n6. Capacity Building: Provide technical assistance and training to Member States, particularly developing nations, to build their capacity for responsible AAIS governance.\n7. Dispute Resolution: Establish mechanisms for the resolution of disputes arising from the cross-border operation or impact of AAIS.\n\n## Chapter IV: Risk-Based Regulatory Framework\n\n### Article 13: Classification of AAIS Risks\n\nAAIS shall be classified into categories based on the level of risk they pose to fundamental rights, safety, and public interest:\n\n1. Prohibited AAIS: Systems posing an unacceptable risk.\n2. High-Risk AAIS: Systems posing a significant risk.\n3. Limited-Risk AAIS: Systems requiring specific transparency obligations.\n4. Minimal-Risk AAIS: Systems subject to voluntary codes of conduct.\n\n### Article 14: Prohibited AAIS\n\nThe following AAIS practices shall be prohibited as they pose an unacceptable risk to human rights and democratic values:\n\n1. AAIS designed or used to deploy manipulative subconscious techniques that cause physical or psychological harm to a person.\n2. AAIS used for social scoring by public authorities or on their behalf, for general purposes, evaluating or classifying the trustworthiness of natural persons based on their social behavior, leading to detrimental treatment.\n3. AAIS used for real-time remote biometric identification in publicly accessible spaces by law enforcement, except in strictly defined and exceptional circumstances requiring judicial authorization and in compliance with fundamental rights.\n4. AAIS that exploit vulnerabilities of a specific group of persons due to their age, physical or mental disability, to materially distort their behavior in a manner that causes or is likely to cause them physical or psychological harm.\n\n### Article 15: High-Risk AAIS\n\n1. An AAIS shall be classified as high-risk if it is intended to be used as a safety component of a product, or itself is a product covered by Union harmonization legislation listed in Annex I, or if it falls into one of the following areas:\n Critical infrastructure (e.g., traffic management, water, gas, electricity, heating networks).\n Education and vocational training (e.g., assessing students, determining access).\n Employment, worker management, and access to self-employment (e.g., recruitment, promotion, task allocation).\n Access to and enjoyment of essential private and public services and benefits (e.g., creditworthiness assessment, dispatching emergency services).\n Law enforcement (e.g., risk assessment of natural persons, polygraphs).\n Migration, asylum, and border control management (e.g., determining eligibility, veracity of documents).\n Administration of justice and democratic processes (e.g., assisting judicial authorities in fact-finding).\n2. High-Risk AAIS shall be subject to stringent requirements throughout their lifecycle, including:\n Risk Management System: Establishment, implementation, documentation, and maintenance of a continuous risk management system.\n Data Governance and Quality: Use of high-quality training, validation, and testing datasets that are relevant, representative, free of errors, and complete.\n Technical Documentation: Provision of comprehensive technical documentation that demonstrates compliance with the requirements of this Framework.\n Record-Keeping: Automatic logging of events during the operation of the AAIS.\n Transparency and Information for Users: Provision of clear and comprehensive instructions for use, including capabilities, limitations, and expected performance.\n Human Oversight: Design of AAIS to allow for effective human oversight, including the ability to intervene, override, or cease operations.\n Accuracy, Robustness, and Cybersecurity: High level of accuracy, robustness, and cybersecurity, resilient to errors, faults, and attacks.\n Conformity Assessment: Undergo a conformity assessment procedure before being placed on the market or put into service.\n Post-Market Monitoring: Implementation of a system for monitoring the AAIS after its deployment to continuously assess its performance and identify potential risks.\n\n### Article 16: Limited-Risk AAIS\n\nAAIS systems designed to interact with natural persons, or generate content, or detect emotions, shall be subject to specific transparency obligations, requiring operators to inform users that they are interacting with an AAIS, or that content is AI-generated, or that emotions are being detected.\n\n### Article 17: Minimal-Risk AAIS\n\nAAIS systems not falling under the categories of prohibited, high-risk, or limited-risk shall be considered minimal-risk. Developers and operators of minimal-risk AAIS are encouraged to develop and adhere to voluntary codes of conduct, promoting ethical principles and best practices.\n\n## Chapter V: Accountability and Liability\n\n### Article 18: Obligations of Developers and Operators\n\nDevelopers and Operators of AAIS shall be responsible for ensuring compliance with this Framework. Their specific obligations shall be commensurate with the level of risk posed by the AAIS and their respective roles in its lifecycle.\n\n### Article 19: Liability for Harm\n\n1. A strict liability regime shall apply to high-risk AAIS that cause harm to a natural person, irrespective of fault, unless the harm is solely attributable to the fault of the injured party or a third party.\n2. GAIGA shall develop detailed guidelines for the attribution of liability among multiple actors in the AAIS value chain, including developers, operators, and third-party service providers.\n3. Member States shall ensure that their national legal systems provide effective mechanisms for redress for individuals harmed by AAIS, including compensation for damages.\n\n## Chapter VI: Enforcement and Compliance\n\n### Article 20: GAIGA's Enforcement Powers\n\nGAIGA shall have the authority to:\n\n1. Conduct investigations and audits of AAIS,