A Framework for Integrating Human Rights Principles into Artificial Intelligence Legislation

Thesis Abstract

The rapid advancement and deployment of artificial intelligence (AI) technologies have raised significant concerns regarding their potential impact on human rights, necessitating a comprehensive framework to guide the integration of human rights principles into AI legislation. This study aims to develop a robust, contextually applicable framework that ensures AI development and deployment adhere to fundamental human rights standards, including privacy, non-discrimination, freedom of expression, and data protection. The specific objectives include (1) critically examining the existing legal and normative mechanisms governing AI and human rights, (2) identifying gaps and inconsistencies in current legislation, (3) determining key human rights principles relevant to AI, and (4) proposing an integrative framework that policymakers can adopt for the formulation of human rights-compliant AI legislation. The research adopts a qualitative, mixed-methods design to comprehensively analyze both doctrinal and empirical data. The population encompasses legal practitioners, policymakers, AI developers, and human rights advocates involved in AI governance, totaling approximately 150 participants. Purposive sampling is employed to select key informants for interviews, complemented by a stratified random sampling of legal documents, policy papers, and legislative texts from five jurisdictions with emerging AI regulations. Data collection instruments include semi-structured interview guides, document analysis checklists, and survey questionnaires. Thematic analysis, guided by the principles of interpretivist methodology, is employed to identify recurring patterns and thematic elements related to human rights and AI regulation. Statistical techniques such as descriptive statistics and cross-tabulation are used for quantitative data from surveys to complement qualitative insights. Through rigorous analysis, the study anticipates uncovering inconsistencies and gaps in current AI legislation regarding human rights integration and identifying best practices from different jurisdictions. It is expected that findings will reveal a lack of unified normative standards and frameworks that directly address contemporary human rights challenges posed by AI systems, such as algorithmic bias, privacy violations, and accountability deficits. These insights will inform the development of a comprehensive, adaptable framework grounded in existing legal principles, international human rights standards, and emerging best practices. The proposed framework will incorporate core elements such as human rights impact assessments, participatory policymaking processes, transparency mechanisms, and accountability structures tailored specifically for AI governance contexts. This research significantly contributes to the growing field of law and technology by providing a specialized model that bridges the gap between technological innovation and human rights protection. It advances existing scholarship by synthesizing interdisciplinary insights from legal theory, human rights law, and AI ethics into a practical, operational framework. The framework's applicability will be validated through expert consultations and pilot testing in legislative drafting scenarios, ensuring its feasibility and relevance for policymakers and stakeholders. The study concludes that integrating human rights principles into AI legislation requires an explicit, systematic approach rooted in participatory and transparent processes, supported by enforceable legal mechanisms. It recommends that legislators adopt the proposed framework to harmonize AI innovation with fundamental human rights, emphasizing ongoing monitoring and periodic revision to adapt to the rapid technological evolution. The findings advocate for increased international cooperation, capacity-building for legal practitioners, and the inclusion of marginalized voices in AI policymaking to uphold human dignity and equality in the AI era. This research ultimately aims to influence future legislative developments and contribute to the normative regulation of AI, aligning technological progress with human rights imperatives to foster sustainable and equitable AI ecosystems worldwide.