What is GDPR?
GDPR (General Data Protection Regulation) is the European Union's comprehensive data protection law governing personal data processing. GDPR establishes extensive rights for data subjects, obligations for data controllers and processors, and applies to AI systems processing EU resident personal data, with significant penalties for violations.
This glossary term is currently being developed. Detailed content covering regulatory requirements, compliance obligations, implementation guidance, and business implications will be added soon. For immediate assistance with this regulation or compliance requirement, please contact Pertama Partners for advisory services.
Understanding and complying with this regulation is critical for organizations operating in the relevant jurisdiction. Non-compliance can result in significant penalties, legal liability, and reputational damage.
- Extra-territorial scope - applies to non-EU organizations processing EU data.
- Penalties up to 4% of global revenue or €20 million.
Common Questions
What organizations does this regulation apply to?
Application scope varies by regulation. Typically includes organizations processing personal data, deploying AI systems, or operating in regulated sectors. Consult legal counsel for specific applicability.
What are the penalties for non-compliance?
Penalties vary by jurisdiction and violation severity, ranging from warnings to substantial fines and operational restrictions. Review specific regulation for penalty provisions.
More Questions
Implement comprehensive compliance program including policy development, technical controls, staff training, regular audits, and ongoing monitoring. Consider engaging compliance advisors for complex requirements.
Article 22 gives individuals the right not to be subject to solely automated decision-making with legal or similarly significant effects, including AI-driven profiling. Companies must provide meaningful information about the logic involved, the significance, and envisaged consequences. Data subjects can request human intervention, express their point of view, and contest automated decisions. Explicit consent or contractual necessity provides the legal basis for automated processing.
Appoint an EU representative under Article 27, conduct data protection impact assessments for AI systems processing EU personal data, implement data transfer mechanisms like Standard Contractual Clauses for data flowing to ASEAN, and maintain processing records under Article 30. Budget EUR 50K-200K for initial compliance setup including legal review, technical implementation, and staff training. Ongoing compliance monitoring costs EUR 20K-60K annually for mid-size organisations.
Article 22 gives individuals the right not to be subject to solely automated decision-making with legal or similarly significant effects, including AI-driven profiling. Companies must provide meaningful information about the logic involved, the significance, and envisaged consequences. Data subjects can request human intervention, express their point of view, and contest automated decisions. Explicit consent or contractual necessity provides the legal basis for automated processing.
Appoint an EU representative under Article 27, conduct data protection impact assessments for AI systems processing EU personal data, implement data transfer mechanisms like Standard Contractual Clauses for data flowing to ASEAN, and maintain processing records under Article 30. Budget EUR 50K-200K for initial compliance setup including legal review, technical implementation, and staff training. Ongoing compliance monitoring costs EUR 20K-60K annually for mid-size organisations.
Article 22 gives individuals the right not to be subject to solely automated decision-making with legal or similarly significant effects, including AI-driven profiling. Companies must provide meaningful information about the logic involved, the significance, and envisaged consequences. Data subjects can request human intervention, express their point of view, and contest automated decisions. Explicit consent or contractual necessity provides the legal basis for automated processing.
Appoint an EU representative under Article 27, conduct data protection impact assessments for AI systems processing EU personal data, implement data transfer mechanisms like Standard Contractual Clauses for data flowing to ASEAN, and maintain processing records under Article 30. Budget EUR 50K-200K for initial compliance setup including legal review, technical implementation, and staff training. Ongoing compliance monitoring costs EUR 20K-60K annually for mid-size organisations.
References
- NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST) (2023). View source
- Stanford HAI AI Index Report 2025. Stanford Institute for Human-Centered AI (2025). View source
- EU AI Act — Regulatory Framework for Artificial Intelligence. European Commission (2024). View source
- NIST AI Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST) (2023). View source
- Singapore's Approach to AI Governance — Model AI Governance Framework. Personal Data Protection Commission (PDPC), Singapore (2024). View source
- AI Regulation: A Pro-Innovation Approach. UK Department for Science, Innovation and Technology (2023). View source
- Artificial Intelligence and Data Act (AIDA). Government of Canada (2024). View source
- Brazil AI Act: Senate Advances Bill to Regulate AI Use. Library of Congress / Brazilian Federal Senate (2024). View source
- Understanding AI Regulations in Japan: Current Status and Future Prospects. DLA Piper (2024). View source
- Global AI Governance Law and Policy: Japan. International Association of Privacy Professionals (IAPP) (2024). View source
Indonesia Presidential Regulation on AI establishes national framework for AI governance, development priorities, and ethical standards. The regulation promotes responsible AI innovation aligned with Pancasila values while supporting Indonesia's digital economy ambitions and national AI strategy implementation.
OJK (Otoritas Jasa Keuangan) AI Code of Ethics provides principles for Indonesian financial institutions deploying AI and advanced analytics, covering fairness, transparency, accountability, data privacy, and consumer protection. The code ensures AI deployment in Indonesia's financial sector maintains integrity and public trust.
Indonesia Data Protection Authority is the designated enforcement body for Indonesia's PDP Law, responsible for overseeing compliance, investigating violations, and protecting data subject rights. The authority will issue regulations, conduct audits, and impose penalties for data protection breaches.
POJK 22 (OJK Regulation 22) addresses consumer protection in Indonesian financial services, including provisions relevant to AI-driven decisions, algorithmic transparency, and automated customer interactions. The regulation ensures financial institutions maintain fair and transparent practices when deploying AI systems affecting consumers.
Philippines Data Privacy Act (DPA 2012) is the Philippines' comprehensive data protection law establishing principles for lawful personal data processing, data subject rights, and controller/processor obligations. The Act applies to AI systems processing Filipino personal data and requires organizations to implement security measures and accountability mechanisms.
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