Jordan Artificial Intelligence Policy 2020
The Jordan Artificial Intelligence Policy 2020 outlines Jordan's national strategic framework to harness artificial intelligence for economic and social development across the public and private sectors. It establishes five main pillars covering governance, legislative and regulatory environments, digital infrastructure, business and investment environments, and capacity building. Key mechanisms include forming a National Ministerial Committee for AI, drafting a National Charter on AI Ethics, establishing a regulatory sandbox, and integrating AI into educational curricula and technical training programs.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Government officials, policymakers, private sector tech companies, researchers, and educational institutions should read this to understand Jordan's national AI strategic priorities and regulatory roadmap.
What the document contains
The policy addresses national governance structures, regulatory frameworks including ethical standards and sandboxes, digital infrastructure and data management requirements, business and investment incentives for AI startups, and comprehensive educational and workforce capacity-building programs.
The text does not contain specific statutory penalties, licensing regimes, or technical threshold requirements for high-risk AI systems.
- The policy positions artificial intelligence as a national strategic priority to drive sustainable economic growth and enhance public sector efficiency in Jordan.
- A National Ministerial Committee for Artificial Intelligence and a National Charter on AI Ethics are established to oversee implementation and address issues of accountability, transparency, and bias.
- The document mandates the creation of an experimental regulatory sandbox to facilitate the testing and deployment of innovative AI applications.
- Digital infrastructure improvements focus on high-speed ICT such as 5G and IoT, comprehensive data governance, open government data, and cloud platform utilization.
- Capacity building initiatives span basic and higher education curriculum reforms, specialized technical training, and public-private partnerships to bridge workforce skills gaps.
· Introduction · Policy Scope of Application · Policy goals · Policy Pillars - Pillar One: Governance - Pillar Two: Legislative and Regulatory Environment - Pillar Three: Digital Infrastructure - Pillar four: Business and Investment Environment - Pillar Five: Capacity Building
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
The Charter shall provide a framework of principles and guidelines related to the accountability of AI operating systems and ensuring their transparency
4-2 Pillar Two: Legislative and Regulatory Environment
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Government realizes that there are some concerns that may slow down the adoption of AI-based solutions, such as poor accountability, lack of clarity in the decision-making mechanism, lack of justice and bias in data analysis.
4-2 Pillar Two: Legislative and Regulatory Environment
screening score · 2026-10-23
Human Dignity
1/5Respect for the inherent worth of persons
enhance future comprehensive cross -sectoral social and economic development
1 Introduction
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
Government also recognizes the negative effects that technology may have, especially with electronic systems that analyze data and make decisions
4-2 Pillar Two: Legislative and Regulatory Environment
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
In addition, processing of personal data must comply with the Personal Data Protection law once enacted.
4-3 Pillar Three: Digital Infrastructure
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
ensuring their transparency in decision-making and impartiality in data processing and data privacy.
4-2 Pillar Two: Legislative and Regulatory Environment
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Therefore, the Government requires the Ministry to monitor the implementation of the Policy and its outputs. The Ministry shall submit an annual report to the Committee
4-1 Pillar One: Governance
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
government entities must aim to assess potential risks related to the privacy of individuals, racial discrimination, data penetration and the loss of some jobs. The entities are required to inform the Ministry of those risks
4-2 Pillar Two: Legislative and Regulatory Environment
screening score · 2026-10-23