3.
AI regulation is evolving fast, and it varies by region.
Use this interactive global map to understand key compliance requirements and legal frameworks that impact AI use around the world.
Australia
- AI Compliance: No AI Act yet; legislation is under discussion.
- Data Protection: No specific notes on AI-related data protection outlined.
Brazil
- AI Compliance: AI Bill proposed; approved by the Senate, pending Chamber of Deputies review and potential amendments.
- Data Protection: Strong rights to review automated decisions, data access, correction, erasure, portability, objection, anonymization, and lodge complaints.
Canada
- AI Compliance: AIDA within Bill C-27 proposed to regulate safe, fair AI use, focusing on business accountability and high-impact systems.
- Data Protection: No specific AI data protection rights outlined separately from general frameworks.
Chile
- AI Compliance: No AI Act; proposals at early development stage.
- Data Protection: Early-stage proposals for rights concerning AI, automated decisions, and profiling.
Colombia
- AI Compliance: Early-stage proposals for AI regulation.
- Data Protection: Qualified rights against automated decision-making, transparency requirements, and the right to human review.
European Union
- AI Compliance: The AI Act is in force (since August 2024); risk-based classification and strict obligations begin in 2025.
- Data Protection: Profiling and automated decision-making contribute to system classification and obligations under the AI Act.
India
- AI Compliance: No specific AI legislation; Digital India Act draft expected to address AI and privacy.
- Data Protection: No current specific regulations on automated decision-making or profiling.
Indonesia
- AI Compliance: Ethical guidelines for AI issued (non-binding, 2023).
- Data Protection: Draft Bill regarding AI, profiling, and automated decision-making in progress.
Malaysia
- AI Compliance: National AI Governance and Ethics Guidelines published (Sept 2024) – non-legally binding.
- Data Protection: Guidance and principles available, but no overarching law for AI-related data processing.
New Zealand
- AI Compliance: Algorithm Charter for government agencies; additional OPC AI guidance for businesses.
- Data Protection: Guidance on data privacy and AI issued; no specific AI data protection law yet.
Singapore
- AI Compliance: No AI Act; guidance issued for AI-based personal data usage.
- Data Protection: Non-binding principles and guidance provided.
Thailand
- AI Compliance: Two AI-related draft legislations introduced (still under development).
- Data Protection: Draft regulations regarding profiling and automated decisions in progress.
Philippines
- AI Compliance: Advisory No. 2024-04 published; draft bills pending, including AI Regulation Act.
- Data Protection: Strict consent and transparency requirements; qualified rights against automated decisions, and human review rights.
United States (USA)
- AI Compliance: No comprehensive federal AI regulation yet; regulatory initiatives developing.
- Data Protection: Varies by state; consult compliance team for specific local laws.
United Kingdom (UK)
- AI Compliance: AI legislation expected in 2025.
- Data Protection: Qualified rights against automated decision-making, with specific exemptions; rights to transparency and human review.
Vietnam
- AI Compliance: AI standards and guidance issued; Draft DTI Law focuses on AI classification and ethical principles.
- Data Protection: Consumer Protection Law requires periodic assessments of AI systems; voluntary national AI standards introduced.
4.
Whether you’re retraining models, adjusting features, or upgrading your approach, small changes can unlock big improvements in performance and precision.
Retrain or Update Model
Improves accuracy and adaptability to new patterns or segments
Swap Model Type
Change from rules to ML, or from ML to deep learning, to better match the problem complexity
Use Ensemble Models
Combine multiple models for greater stability or accuracy across scenarios
Tweak Features
Refine inputs used by the model—drop noisy ones or engineer new ones