Beyond the Algorithm: Emerging Market Pathways to Ethical AI Governance in Digital Capital Markets - A Comparative Study of Nigeria, India, and the European Union

Abstract

Introduction: Algorithmic decision-making systems increasingly govern capital market operations, yet regulatory frameworks struggle to ensure accountability and protect consumer rights. This study examines Nigeria’s emerging algorithmic accountability framework through comparative analysis with India and the European Union. Methods: Employing doctrinal legal methodology, we systematically analyzed Nigeria’s Data Protection Act 2023, General Application and Implementation Directive 2025 (GAID), and Investments and Securities Act 2025, and compared them with India’s Digital Personal Data Protection Act 2023 and the EU’s General Data Protection Regulation, Artificial Intelligence Act, and Markets in Financial Instruments Directive II. India was selected as a common-law peer comparator on the basis of shared legal tradition, market characteristics, and developmental stage, while the European Union was selected as a normative and aspirational regulatory benchmark on the strength of its regulatory maturity and documented influence on Nigeria's data protection architecture. Comparison was structured using an eight-dimension analytical framework synthesized from established comparative data-protection and AI-governance scholarship and applied through a consistent four-step protocol across all three jurisdictions. Results: While Nigeria’s GAID 2025 represents significant advancement through emerging technologies provisions, critical gaps persist. These include incomplete operationalization of automated decision-making safeguards, absent sector-specific capital market guidance, inadequate explicability obligations, weak anti-discrimination provisions, and deficient enforcement coordination between regulatory bodies. India demonstrates moderate provisions through grievance mechanisms, while the EU provides comprehensive accountability through explicit algorithmic constraints and risk-based classifications. Conclusion: Nigeria requires specific legislative amendments, including explicit automated decision-making provisions, mandatory impact assessments for high-risk systems, sector-specific capital market regulations, and formalized inter-agency coordination mechanisms. A transparent, criteria-based prioritization exercise, scoring each legislative gap on the cost of inaction and the difficulty of reform, supports a three-tier reform roadmap distinguishing provisions for immediate adoption, medium-term adaptation, and long-term aspiration. These recommendations balance Nigeria's developmental context with robust governance standards.