What is Global Partnership on AI (GPAI)?
International multistakeholder initiative bringing together 29 member countries to support responsible AI development through collaboration on AI governance, data governance, future of work, and innovation. Operates working groups on thematic priorities, produces practical guidance, and facilitates international AI policy coordination.
This glossary term is currently being developed. Detailed content covering regulatory framework, compliance requirements, implementation timeline, and business implications will be added soon. For immediate assistance with AI regulation and compliance, please contact Pertama Partners for advisory services.
GPAI shapes AI governance norms across 29 member countries representing 60% of global GDP, making its consensus recommendations practically influential for international AI market access, regulatory compliance, and cross-border business operations. Companies aligned with GPAI principles navigate cross-border AI governance requirements more efficiently because member states increasingly harmonize their national regulatory frameworks around GPAI recommendations and shared assessment methodologies. mid-market companies targeting international markets benefit significantly from monitoring GPAI outputs as early indicators of regulatory direction, enabling proactive compliance preparation 12-18 months before member states translate agreed principles into binding national requirements, licensing conditions, and procurement criteria.
- Four working groups on responsible AI, data governance, work, climate
- Practical projects like AI incident database and model cards
- Bridge between technical AI community and policymakers
- Coordination with OECD, UNESCO, and regional initiatives
- Expert network for AI governance capacity building
- Engage with GPAI working groups on responsible AI, data governance, and innovation to access research outputs and networking opportunities with international policy stakeholders.
- Reference GPAI membership alignment when pursuing international contracts because member country governments increasingly recognize GPAI principles in procurement evaluation criteria and scoring.
- Monitor GPAI's evolving focus areas including generative AI governance, environmental sustainability, and AI labor impacts to anticipate regulatory directions across 29 member nations.
- Leverage GPAI's published reports on AI labor markets, data governance, and responsible innovation as authoritative references in policy-sensitive client engagements and proposals.
- Engage with GPAI working groups on responsible AI, data governance, and innovation to access research outputs and networking opportunities with international policy stakeholders.
- Reference GPAI membership alignment when pursuing international contracts because member country governments increasingly recognize GPAI principles in procurement evaluation criteria and scoring.
- Monitor GPAI's evolving focus areas including generative AI governance, environmental sustainability, and AI labor impacts to anticipate regulatory directions across 29 member nations.
- Leverage GPAI's published reports on AI labor markets, data governance, and responsible innovation as authoritative references in policy-sensitive client engagements and proposals.
Common Questions
How does this regulation apply to our AI deployment?
Application depends on your AI system's risk classification, deployment location, and data processing activities. Consult with legal experts for specific guidance.
What are the compliance deadlines and penalties?
Deadlines vary by jurisdiction and AI system type. Non-compliance can result in significant fines, operational restrictions, or system bans.
More Questions
Implement robust governance frameworks, regular audits, documentation practices, and stay updated on regulatory changes through expert advisory.
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
AI Regulation refers to the laws, rules, standards, and government policies that govern the development, deployment, and use of artificial intelligence systems. It encompasses mandatory legal requirements, voluntary guidelines, industry standards, and regulatory frameworks designed to manage AI risks while enabling innovation and economic benefit.
AI systems listed in Annex III of EU AI Act requiring strict compliance including biometric identification, critical infrastructure, education/employment systems, law enforcement, migration/border control, and justice administration. Must meet requirements for data governance, documentation, transparency, human oversight, and accuracy before market placement.
AI applications banned under EU AI Act Article 5 including subliminal manipulation, exploitation of vulnerabilities, social scoring by authorities, real-time remote biometric identification in public spaces (with narrow exceptions), and emotion recognition in workplace/education. Violations subject to maximum penalties.
Dedicated enforcement body within European Commission responsible for supervising general-purpose AI models, coordinating national AI authorities, maintaining AI Pact, and ensuring consistent AI Act implementation across member states. Established 2024 with powers to conduct investigations and impose penalties.
Specific EU AI Act requirements for foundation models and general-purpose AI systems including technical documentation, copyright compliance, detailed training content summaries, and additional obligations for systemic risk models (>10^25 FLOPs). Providers must publish model cards and cooperate with evaluations.
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