12 November 2025

Global AI Governance in 2025: How the U.S., EU, China, and Latin America & the Caribbean Compare (and What Businesses Should Do)

By Yoel Molina, Esq., Owner and Operator of the Law Office of Yoel Molina, P.A.

 

If you deploy or buy AI across borders, you’re navigating four very different playbooks. Below is a crisp, business-focused comparison of the United States, European Union, China, and Latin America & the Caribbean (LAC)—followed by an action plan you can use to stay compliant while capturing the upside.
 

One-minute snapshot

 

  • United States: No single AI statute. Federal standards (NIST), agency enforcement (FTC), and a fast-moving state layer (e.g., Colorado’s high-risk AI law delayed to 2026; California’s chatbot disclosure law in 2025). Flexible but fragmented. ( NIST)
  • European Union: A comprehensive AI Act with staged obligations (bans and literacy since Feb 2025; GPAI obligations since Aug 2, 2025; most high-risk rules by Aug 2026; some embedded products by Aug 2027). Strong documentation, risk management, and post-market duties. ( Digital Strategy EU)
  • China: Layered regime focused on content governance, filings, and safety: Generative AI Measures (Aug 2023) and Deep Synthesis rules (Jan 2023) require labeling/watermarks, complaint handling, and algorithm filings for certain services. Emphasis on outputs aligned with content rules. ( chinalawtranslate.com)
  • LAC: Privacy laws are the baseline; AI bills/policies advancing (e.g., Brazil’s PL 2,338/2023; Colombia’s CONPES 4144). Enforcement led by data protection authorities (e.g., Brazil’s ANPD shaping GenAI practices). Patchwork today, converging on risk-based controls. ( artificialintelligenceact.com)
 

Side-by-side comparison (what matters operationally)

 

Scope & philosophy

 

  • U.S.: Sectoral + state patchwork; “reasonableness” anchored in NIST AI RMF and FTC deception rules. Practical, but requirements vary by state and sector. ( NIST)
  • EU: Single horizontal law (AI Act) with risk tiers (unacceptable, high, limited, minimal) and a separate track for GPAI providers. Documentation is king. ( Digital Strategy EU)
  • China: Public-facing AI is governed as an information service—algorithm filings, synthetic media labeling, content moderation, and user-complaint systems. ( chinalawtranslate.com)
  • LAC: Privacy-first plus risk-based proposals; national policies set procurement and governance expectations (Brazil, Chile, Colombia). ( artificialintelligenceact.com)
 

Documentation & filings

 

  • U.S.: Notified/voluntary frameworks (RMF + GenAI Profile) used to show diligence; some state laws will require impact assessments (e.g., Colorado in 2026). ( NIST)
  • EU: Technical files, risk management systems, logging, human oversight; GPAI requires training-data/copyright transparency and safety measures. ( Digital Strategy EU)
  • China: Algorithm filings/registrations for certain recommenders; security assessments; platform-level labeling/traceability for deep synthesis. ( chinalawtranslate.com)
  • LAC: Moving toward risk registers/impact assessments; procurement and DPAs drive documentation expectations today. ( dnp.gov.co)

Content & synthetic media

  • U.S.: State rules (chatbot disclosure in California) plus FTC truth-in-ads; likeness/voice laws expanding. ( California State Senator Steve Padilla)
  • EU: Transparency varies by risk/use; DSA overlays for large platforms. ( Digital Strategy EU)
  • China: Mandatory labeling/watermarks and takedown/complaint paths for deep synthesis. ( chinalawtranslate.com)
  • LAC: Labeling emerging as best practice via platform and public-sector tenders; regulators use privacy/consumer law to police deception.

HR, hiring, and fairness

  • U.S.: Bias testing, notices, and human-in-the-loop are becoming standard (state/agency driven).
  • EU: High-risk HR tools face conformity assessment, oversight, and monitoring. ( Digital Strategy EU)
  • China: HR uses must still meet privacy and content obligations; governance is routed through security/algorithm rules.
  • LAC: Expect HR to be tagged “higher risk” in bills; DPAs emphasize lawful basis and fairness.

Timelines to watch

  • U.S.: Colorado’s high-risk AI law now effective June 30, 2026; California’s SB 243 chatbot safeguards signed Oct 13, 2025. ( Seyfarth Shaw - Homepage)
  • EU: GPAI obligations live since Aug 2, 2025; most high-risk by Aug 2026; some embedded products by Aug 2027. ( Digital Strategy EU)
  • China: GenAI Measures (Aug 2023); Deep Synthesis rules (Jan 2023) continue to anchor enforcement. ( chinalawtranslate.com)
  • LAC: Brazil’s AI bill pending in the Chamber; Colombia’s CONPES 4144 operationalizing through policy and procurement. ( artificialintelligenceact.com)
 

Practical guidance if you operate across two or more of these regions

 

  • Adopt a global “common core.” Build to the EU AI Act documentation standard (risk file, technical file, logging, human oversight) and the NIST AI RMF controls (testing, monitoring, incident response). This single toolkit travels well in all four regions. ( Digital Strategy EU)
  • Localize for the biggest deltas.
    • China: Implement dual labeling (visible + metadata) for synthetic media; stand up user-reporting and rapid takedown workflows; prepare for filings where required. ( chinalawtranslate.com)
    • U.S.: Add state-specific layers—Colorado-style impact assessments (HR/credit/eligibility) and chatbot disclosures (California). ( Seyfarth Shaw - Homepage)
    • LAC: Treat training on customer data as opt-in/opt-out controlled; align privacy notices and cross-border transfer assessments; mirror public-sector checklists (provenance, fairness testing).
    • EU: Track harmonised standards coming online to claim presumption of conformity.
  • Designate “human approval gates.” Require human sign-off for material external outputs: hiring decisions, pricing/eligibility offers, customer communications, contractual commitments.
  • Contract for safety. Bake in no-training-on-customer-data by default, sub-processor disclosure, security attestations (SOC 2/ISO 27001), log export, incident notice SLAs, likeness/IP indemnities, and rollback/takedown rights.
  • Stand up content QA and provenance. Label synthetic media where it could mislead; keep provenance/traceability. This aligns with China today and is increasingly expected in tenders/platform policies elsewhere. ( chinalawtranslate.com)
  • Plan audits and post-market monitoring. Define KPIs, complaint handling, corrective-action timelines, and model/version logging. This is mandatory in the EU and excellent evidence of diligence in U.S./LAC disputes. ( Digital Strategy EU)
 

Quick compliance checklist you can use this quarter

 

  • Name an AI Compliance Lead and Privacy/Security Lead; publish approval thresholds.
  • Inventory AI uses; tag HR/credit/safety as high risk; require human review and logs.
  • Prepare an AI technical file (risk management, data governance, evaluations, human oversight SOPs). ( Digital Strategy EU)
  • Implement chatbot disclosures where users might think they’re chatting with a human; add one-click escalation. ( California State Senator Steve Padilla)
  • For any synthetic media, add labels/watermarks and keep metadata. ( chinalawtranslate.com)
  • Refresh vendor contracts with AI clauses (no training on your data, security, sub-processors, IP/likeness indemnities).
  • Schedule quarterly bias/quality tests and a semi-annual policy review tied to EU timelines and U.S. state updates. ( Digital Strategy EU)
 

Contact Us

 

For legal help deploying AI across these jurisdictions—contracts and vendor terms, privacy/compliance, employment-law guardrails, IP/content risk, and policy design—contact Attorney Yoel Molina at admin@molawoffice.com, call (305) 548-5020 (Option 1), or message via WhatsApp at (305) 349-3637.
 

 

For inquiries, please contact our Front Desk at fd@molawoffice.com or Admin at admin@molawoffice.com. You can also reach us by phone at +1 305-548-5020, option 1.

 

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