Malta – The Strategy and Vision for Artificial Intelligence in Malta 2030
This document outlines Malta's national strategy and vision for artificial intelligence through 2030, aiming to position the country as a leading global hub for AI applications. It establishes three strategic pillars focused on investment and innovation, public sector adoption, and private sector adoption, supported by enablers in education, legal and ethical frameworks, and ecosystem infrastructure. Key initiatives include the world's first national AI certification programme, regulatory sandboxes, and targeted pilot projects across healthcare, education, traffic management, and other sectors.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, business leaders, researchers, and educators seeking guidance on Malta's national AI policies, funding opportunities, and regulatory frameworks.
What the document contains
The document covers Malta's comprehensive national strategy for artificial intelligence, detailing economic incentives for start-ups and R&D, plans for integrating AI into public and private sector operations, workforce reskilling initiatives, legal and ethical frameworks including certification and sandboxes, and necessary digital infrastructure investments.
Detailed technical specifications for machine learning algorithms or binding statutory fines for non-compliance outside of voluntary certification schemes.
- Malta aspires to become the Ultimate AI Launchpad by 2030, serving as a test bed for global AI innovations.
- The strategy is built on three pillars: investment and innovation, public sector adoption, and private sector adoption.
- Malta is introducing the world's first national AI certification framework based on its Ethical AI Framework.
- Six high-profile pilot projects in traffic management, education, healthcare, customer service, tourism, and utilities will be implemented by 2022.
- The strategy prioritizes education and workforce reskilling to prepare citizens for an AI-powered economy.
· Foreword · Executive Summary · Introduction and Background · Vision and Goals · Investment, Start-ups and Innovation · Public Sector Adoption · Private Sector Adoption · Education and Workforce · Legal and Ethical · Ecosystem Infrastructure · Malta.AI Taskforce and Working Groups
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 Malta Ethical AI Framework sets out four Ethical AI Principles for establishing trustworthy AI which are in alignment with the European Commission’s AI HLEG Ethics Guidelines for Trustworthy AI
Establish an Ethical AI Framework Towards Trustworthy AI
screening score · 2026-10-23
Fairness
4/5Non-discrimination and equitable treatment
Fairness: the development, deployment, use and operation of AI systems must be fair
Trustworthy AI Requirements
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
The Strategy and Vision for Artificial Intelligence in Malta aims to ensure that benefits brought about by this next wave of innovation delivers benefits across all segments of Maltese society.
Foreword Hon. Silvio Schembri
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
Human autonomy: humans interacting with AI systems must be able to keep full and effective self-determination over themselves
Trustworthy AI Requirements
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
In addition to the Regulatory Sandbox proposed above, the Office of the Information and Data Protection Commissioner (IDPC), as the national data protection authority, will also set up a Data Sandbox to support organisations that need to use personal data in the process of developing or testing innovative products and services in the specific area of AI.
Set up a Regulatory Sandbox for AI and a Data Sandbox for AI
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Explicability: end users and other members of the public should be able to understand and challenge the operation of AI systems as required for the particular use case.
Trustworthy AI Requirements
screening score · 2026-10-23
Enforcement
3/5Consequences and compliance mechanisms with real force
The MDIA will monitor that each pilot project gets implemented by the respective business owner.
Public sector adoption
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
A detailed assessment will be carried out following the conclusion of each of the pilot projects to determine the viability of a wider roll-out of each project at scale.
Public sector adoption
screening score · 2026-10-23