AI Ethics Compliance System (AECS)

Artificial intelligence (AI) technologies are being used at a rapid pace, which has created previously unnoticed ethical difficulties that call for creative solutions to guarantee adherence to moral principles. This research paper presents the AI Ethics Compliance System (AECS), a cutting-edge system that combines smart contracts, blockchain technology, and AI governance mechanisms to address enduring ethical issues in AI, such as privacy assurance, transparency, and bias mitigation. AECS creates a scalable and adaptable ethical auditing layer for AI systems by combining real-time bias monitoring, immutable decision logging, and automated regulatory compliance enforcement in a way that is not possible with other solutions. With the goal to overcome current throughput and latency limits, the framework stands out for its hybrid blockchain architecture, support for smart contract-based legal adaptation, and modular design. When compared to well-known solutions like IBM's AI Fairness 360, AECS can perform better in terms of auditability and compliance accuracy. When tested using common benchmark datasets and metrics, prototype implementations in high-stakes applications—like facial recognition and medical diagnostics—show that AECS can increase compliance rates by up to 30%. Furthermore, with built-in capabilities for dynamic legal updates and jurisdictional variation, AECS is created in accordance with international regulatory frameworks such as the GDPR and the EU AI Act. These results highlight the potential of AECS as a strong compliance framework that can connect the progress of technical AI with changing legal and ethical standards.