Morocco - National AI Governance Bill (2024)

Bill for the Establishment of the National Agency for AI Governance

مقترح قانون يتعلق بإحداث الوكالة الوطنية للذكاء الاصطناعي

Morocco

RAI-MA-NA-ENAAGXX-2024
Proposed(Officially filed for action)Checked 7 Sep 2026

Morocco - National AI Governance Bill (2024) is Proposed in Morocco as of 7 Sep 2026, according to mmsp.gov.ma.

BillGovernance and OversightConformity Assessment and RegistrationRisk Management
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The 2024 Bill for the Establishment of the National Agency for AI Governance creates a centralized regulator to oversee public and private sector AI entities in Morocco. Submitted on April 1, 2024, the proposed legislation mandates the agency to set national policy and enforce safety, privacy, and ethical compliance.

Summary

This proposed bill would create a centralized National Agency for AI Governance tasked with setting national AI policy, coordinating oversight, and enforcing compliance with ethical, safety, privacy and security standards. It aims to harmonize AI governance across public and private sectors, align Moroccan policy with international norms, and protect fundamental rights while promoting innovation.

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Overview

The Bill for the Establishment of the National Agency for AI Governance proposes creation of an independent public authority responsible for national AI strategy, regulatory coordination, oversight, and enforcement to ensure safe, ethical and sovereign deployment of artificial intelligence across Morocco. The draft envisions the Agency setting national AI policy, coordinating oversight across sectors, and enforcing compliance with ethical, safety, privacy and security standards to harmonize AI governance across public and private sectors, align Moroccan policy with international norms, and protect fundamental rights while promoting innovation. The concept aligns with government initiatives to develop a national AI roadmap and multi-stakeholder consultations on AI policy. See recent ministry communications: mmsp.gov.ma - Assises Nationales de l'IA. The drafting discussions indicate momentum for formal legislation, but an authorized consolidated draft law published in an official government legislative database or in the Official Gazette was not located for 2024.

Definitions

The Bill sets out operational, technology-neutral definitions intended to maximize legal clarity and interoperability. Key defined terms described in the draft include "artificial intelligence system," "high-risk AI system," "developer/provider," "deployment," "automated decision-making," and "personal data processing". Definitions are intended to be aligned with international instruments and to provide a foundation for scope, compliance obligations, and enforcement. The Bill also contemplates definitions that enable a risk-based approach to classification and regulation of systems operating in sensitive domains.

Governance and Institutional Framework

The Agency would be constituted as an independent administrative authority with a governing board composed of government representatives, independent experts, civil society and possibly industry observers, supported by technical units such as policy, risk assessment, inspections, research and capacity-building teams. The head of the Agency would be appointed by the executive branch with statutory safeguards intended to ensure operational independence. The Agency would collaborate with the Commission Nationale de Contrôle de la Protection des Données à Caractère Personnel (CNDP) on privacy and compliance matters; see CNDP communications: cndp.ma - Communiqué. The institutional architecture envisaged includes coordination mechanisms with sectoral regulators (health, education, finance, etc.) and formal interfaces with national data protection authorities to avoid regulatory overlap and to ensure coherent oversight across domains.

Key Focus Areas

  • Legal establishment and mandate of the Agency: creating a centralized authority for AI governance with a statutory remit for policy, oversight, and enforcement.
  • Technical and ethical guidance: powers for the Agency to issue technical standards, ethical guidelines, and sector-specific guidance to support safe deployment.
  • Risk-based classification: a framework to classify AI systems by risk level, including explicit categories for high-risk systems used in sensitive domains (health, justice, social services) and systems materially affecting Moroccan residents or critical infrastructure.
  • Registration and conformity assessment: requirements for registration/notification of specified AI systems and pre-deployment conformity assessments for high-risk systems.
  • Audit, inspection and enforcement powers: authority to conduct audits and inspections, require corrective actions, suspend or withdraw systems, and impose administrative fines calibrated by severity and recurrence.
  • Rights for individuals: transparency obligations, the right to information about automated decisions affecting individuals, remedies and complaint channels, and data protection safeguards.
  • Provider obligations: documentation and accountability, risk assessment and mitigation, impact assessments for high-risk systems, record-keeping, and cooperation with the Agency for audits and corrective measures.
  • Regulatory sandboxes and national infrastructure: authority to operate sandboxes and to support national AI infrastructure intended for public-interest models and capacity-building.
  • Exemptions and transitional measures: contemplated exemptions or tailored transitional provisions for research and small-scale developers to preserve innovation while moving toward comprehensive oversight.

Implementation Framework

The Bill anticipates a phased implementation model and a set of operational mechanisms to bring systems into compliance. Compliance mechanisms described include mandatory registration or notification for specified categories of AI systems, pre-deployment conformity assessments for high-risk AI, periodic post-market monitoring, incident reporting obligations, algorithmic documentation and "explainability" requirements, and privacy-by-design data governance standards. Entities would be required to perform algorithmic impact assessments and technical testing prior to large-scale deployment of certain systems. The Agency would be empowered to establish regulatory sandboxes to facilitate experimentation and to operate or coordinate national AI infrastructure for public-interest models. The Bill would also contemplate transitional provisions to mitigate burdens on research activities and small developers while enabling regulatory objectives.

Monitoring and Evaluation

Monitoring and evaluation mechanisms in the draft include periodic post-market monitoring, mandatory incident reporting, audit and inspection regimes, and obligations for providers to maintain records and documentation for review. The Agency would carry out risk-based monitoring and could require corrective actions or technical remediation following inspections or investigations. Performance indicators and ongoing stakeholder consultations are anticipated to refine technical standards over time. The Bill anticipates coordination between the Agency and sectoral regulators and the CNDP for privacy-related compliance monitoring.

Penalties, Liability, and Appeals

The Agency would be empowered to impose administrative sanctions, including fines, and to order suspension or withdrawal of non-compliant systems. Sanctions would be calibrated according to the severity and recurrence of violations, with enhanced measures for breaches that affect fundamental rights or critical infrastructure. Procedural safeguards would be provided, including rights to appeal Agency decisions and judicial review. The draft signals intent to balance deterrence and proportionality in enforcement while preserving mechanisms for due process and redress.

Relationship to Other Instruments

The Bill is intended to operate alongside Morocco’s existing data protection law and the CNDP’s oversight, as well as applicable sectoral laws in health, education, finance, and other regulated domains. It anticipates formal coordination mechanisms with the CNDP for personal data matters and with sectoral regulators to avoid regulatory overlap and to enable domain-specific governance. The architecture seeks to align national requirements with existing legal frameworks to provide legal certainty for public-sector organizations and private providers operating in Morocco.

International Alignment

The draft is designed with an eye toward alignment with international norms and evolving guidance from multilateral bodies. It references the goal of interoperability with international instruments and evolving EU/UN guidance to facilitate cross-border cooperation and consistency with widely-used governance approaches. Alignment priorities include technology-neutral definitions, a risk-based approach, and mechanisms for cooperation with foreign regulators to address cross-border services that materially affect Moroccan residents or infrastructure.

Implementation Timeline

DateEvent
2024-04-01Bill Submitted (reported submission to the legislature). This date is recorded in drafting metadata as 2024-04-01.
2024-04-01Anticipated immediate establishment of the Agency and governance bodies upon enactment (draft envisages immediate establishment as the first phase; subject to formal legislative process).
2024-10-01Target within 6 months for adoption of priority guidelines for public-sector AI (6–12 months target described in drafting discussions).
2025-04-01Target within 12 months for rollout of initial registration, conformity and sandbox frameworks (part of the 12–24 month rollout contemplated in the draft).
2026-04-01End of a 24-month rollout horizon for fuller implementation of registration, conformity assessment and sandbox frameworks (phased implementation over 12–24 months as anticipated in drafting discussions). Exact statutory timelines remain subject to the formal legislative and regulatory process.

Sources and References

SourceURL
Ministry communications on national AI dialogues (Assises Nationales de l'IA)https://www.mmsp.gov.ma/fr/actualites/AssisesNationalesDeIA2025?utm_source=openai
Ministry page on ministerial activitieshttps://www.mmsp.gov.ma/fr/la-ministre?utm_source=openai
Commission Nationale de Contrôle de la Protection des Données à Caractère Personnel (CNDP) communiquéhttps://www.cndp.ma/communique-de-presse-4/?utm_source=openai

Requirements for a company

What an organisation has to do under Morocco - National AI Governance Bill (2024), at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Proposed). These requirements apply once the instrument takes effect and may change before then.

Must do

10
  • Register specified AI systems with the Agency.Providers of specified AI systems.
  • Conduct pre-deployment conformity assessments for high-risk AI systems.Providers of high-risk AI systems.
  • Perform algorithmic impact assessments for systems posing significant risks.Entities deploying AI systems with significant risks.
  • Maintain technical documentation, logs, and records for compliance.Providers of AI systems.
  • Report incidents, harms, or breaches to the Agency within specified timeframes.Providers of AI systems.
  • Implement privacy-by-design data governance standards.Providers of AI systems processing personal data.
  • +4 more in the table below

Must not do

0

Nothing in this category.

Should do

0

Nothing in this category.

Should not do

0

Nothing in this category.

Who must do what

The obligations under Morocco - National AI Governance Bill (2024), most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Providers of specified AI systems.Register specified AI systems with the Agency.
“Mandatory registration or notification for specified categories of AI systems.”
Upon enactment and framework rollout—Critical
2Providers of high-risk AI systems.Conduct pre-deployment conformity assessments for high-risk AI systems.
“Pre-deployment conformity assessments for high-risk AI systems.”
Before deployment—Critical
3Entities deploying AI systems with significant risks.Perform algorithmic impact assessments for systems posing significant risks.
“Entities would be required to perform algorithmic impact assessments... prior to large-scale deployment.”
Prior to large-scale deployment—Critical
4Providers of AI systems.Maintain technical documentation, logs, and records for compliance.
“Maintenance of technical documentation, logs, and records to demonstrate compliance.”
Upon deployment and ongoing—Critical
5Providers of AI systems.Report incidents, harms, or breaches to the Agency within specified timeframes.
“Obligations to report incidents, harms or breaches to the Agency within specified timeframes.”
Within specified timeframes—Critical
6Providers of AI systems processing personal data.Implement privacy-by-design data governance standards.
“Implementation of data governance standards including privacy-by-design measures.”
Upon deployment—Critical
7Entities deploying certain AI systems.Perform technical testing for certain AI systems prior to large-scale deployment.
“Entities would be required to perform... technical testing prior to large-scale deployment of certain systems.”
Prior to large-scale deployment—Critical
8Providers of AI systems.Conduct periodic post-market monitoring of AI systems.
“Periodic post-market monitoring.”
Ongoing after deployment—Critical
9Providers of AI systems making automated decisions.Provide transparency regarding automated decisions affecting individuals.
“Transparency obligations, the right to information about automated decisions affecting individuals.”
Upon deployment—Critical
10Providers of AI systems.Cooperate with the Agency for audits and corrective measures.
“Cooperation with the Agency for audits and corrective measures.”
Upon request—Critical

© Regulations.AI · updated on 13 Jun 2026 · reviewed against official sources on 7 Sep 2026 using Gemini 3.6 Flash