AI compliance is evolving from voluntary best practice to legal requirement. Navigate the regulatory landscape with practical governance frameworks and technical approaches to bias testing, explainability, and audit readiness.
The EU AI Act is the first comprehensive AI regulation, but it will not be the last. India, the US, and other jurisdictions are developing their own frameworks, and organizations deploying AI globally will need to comply with multiple regimes simultaneously. Practical guidance rather than theoretical analysis is the priority throughout. The regulatory overview maps current and upcoming requirements by jurisdiction. The governance framework articles show how to build an AI review board, establish risk classification processes, and maintain the documentation that auditors will expect. The technical articles cover bias detection, fairness metrics, and explainability techniques that satisfy both regulators and the data scientists who need to implement them.
Navigate ISO 27001 compliance requirements for AI-enabled manufacturing systems. Security controls, risk assessment frameworks, and audit preparation for smart factory environments.
A detailed guide to complying with NYC Local Law 144 for AI recruiting tools. Learn about bias audit requirements, notice obligations, and enforcement considerations.
Navigate Fair Housing Act compliance when deploying AI in real estate. Technical guidance on bias detection, model auditing, and compliant recommendation systems.
Navigate ABA ethical rules for AI in legal practice. Cover competence requirements, confidentiality, supervision obligations, and billing considerations.
Navigate FERPA compliance for AI in education. Technical guidance on student data handling, consent, vendor management, and AI model training requirements.
Yes, if your AI system processes data from EU residents or your AI-powered service is available to EU users. The EU AI Act has extraterritorial reach similar to GDPR. Indian companies serving European clients, processing EU patient data, or deploying AI in products sold in the EU market must comply. High-risk AI systems require conformity assessments, technical documentation, and registered responsible parties within the EU.
An AI impact assessment evaluates the potential risks and societal effects of an AI system before deployment. It covers: purpose and scope of the AI system, data used for training and inference, potential for bias or discrimination, impacts on affected individuals, risk mitigation measures, and ongoing monitoring plans. Under the EU AI Act, high-risk AI systems require mandatory impact assessments. Even where not legally required, conducting one is best practice for any AI system that affects individuals' rights, opportunities, or access to services.
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