The OECD.AI Policy Navigator
Our policy navigator is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse initiatives and find what you are looking for.
Artificial Intelligence in the Financial Sector – Interim Report of the Inter-Agency Task Force on the Use of Artificial Intelligence and Machine Learning in Israel's Financial Sector
This initiative aims to improve financial services, reduce costs, and boost innovation. It promotes responsible AI use while addressing risks like bias, data misuse, and lack of transparency. The initiative focuses on flexible, sector-specific regulation. Policymakers and regulators are working together to ensure fair, safe, and effective AI integration that benefits consumers and supports sustainable financial growth.
Legal Guide for Designing Regulatory Sandboxes
This guide was written for Israeli regulators to support the design of a responsible, innovation-friendly regulatory framework. It introduces the "regulatory sandbox" tool, explains its use in Israel, outlines its advantages and disadvantages, and provides examples from Israeli law to support better rulemaking.
National Multi stakeholder consultation forum for AI policy and regulation
The expert forum will assist in developing a governmental strategy and policy for promoting the safe use of artificial intelligence, aiming to encourage innovation and maximize the technology’s social and economic benefits.
AI for Science Moonshot
The national program’s Scientific Advisory Committee, the PBC is happy to launch a new Call for Proposals: AI for Science Moonshot. The term "Moonshot" is used here to describe an ambitious and groundbreaking project aimed at achieving a goal perceived as difficult or nearly impossible, but which has the potential to revolutionize a given domain with far-reaching implications for technological and overall progress.
Establishment of a Moonshot AI Applied Research Consortium
The Israel Innovation Authority invites proposals for the establishment of an applied research consortium dedicated to the development of groundbreaking technologies in the field of artificial intelligence (AI). These technologies should be at the forefront of global R&D and have the potential to provide Israeli industry with a competitive edge in the international market.
Increasing the number of AI experts from overseas in Israeli industry (returning residents, new immigrants, foreign experts)
Shortage in AI experts with graduate-level academic qualifications constitutes a barrier to the local high-tech industry’s ability to fulfil its potential for AI-driven innovation. Some 300-400 advanced degree graduates complete their studies each year and join the high-tech industry in research roles. Yet the demand for such experts is much higher. Attracting foreign talent into the Israeli high-tech eco system serves to expand and diversify the local expert pool.
National Program for Artificial Intelligence
The National Program for Artificial Intelligence is a multi-year program, budgeted at about NIS 1 billion so far. It relies on a central directorate and on theimplementation capabilities of its member organizations. Its operations include coordinating the work of all relevant governmental entities. The Program is intended tomaintain Israel's global leadership on AI including Research, Infrastructure, Talent, Data, Regulatory Environment, and AI Adoption
Data Science Initiative
The Council for Higher Education has established a program to support data science research within Israeli universities, including new research centers, an inter-university coordination mechanism, a dedicated fund within the Israel Science Foundation, and scholarship programs.
Public Call for Applications to Support AI Implementation Projects in the Government
Israel has opened a public call to support AI projects in government. The goal is to improve digital services, increase efficiency, and enhance decision-making. Projects are chosen based on feasibility, impact, planning, and ethical risk management, helping government provide better services to citizens.
Investment in Localized NLP Infrastructure
In 2021 the Israeli National Forum for R&D Infrastructure (TELEM in Hebrew) recommended on investing in NLP capabilities in Hebrew and Arabic. Those recommendations were later adopted by the government as part of resolution 212, allocating a total of 180M NIS over a period of 3 years for the creation of corpora, model and tools that are to be made widely accessible to the IL R&D eco-system.
Government Resolution No. 212: Promoting Innovation, High-tech Sector, and Technological Leadership
The resolution lists a series of actions and corresponding funding, aiming to promote innovation, continued growth of the high-tech sector and Israeli technological leadership
Government Resolution No. 173: Strengthning Israel's Global Technological Leadership
Further to Government Resolutions No. 212 of August 1, 2021 (hereinafter - Resolution212), No. 2118 of October 22, 2014, No. 4398 of December 23, 2018 and No. 218 ofAugust 1, 2021 and in light of the importance of technological innovation as the growthengine of the Israeli high-tech sector, and in order to support the continued prosperityof the Israeli innovation industry and its leadership in the global innovationcompetition
Project Nimbus - National Cloud Infrastructure
Project Nimbus is Israel's national cloud initiative to provide secure and efficient cloud services for government agencies. Major providers like Google and AWS set up local data centers to support this effort. The project helps improve government technology infrastructure, ensuring faster and safer digital services for citizens.
Israel's Policy on Artificial Intelligece Regulation and Ethics
In December 2023, Israel introduced its first policy on AI regulation and ethics. The policy aims to ensure AI is used responsibly, protecting people from risks like bias and privacy issues. Developed by several ministries and experts, it supports innovation while promoting fairness, safety, and transparency for all sectors using AI.
Guiding Principles for the Development of Machine-learning Based Technologies in Healthcare
Principles for good machine learning practices in development of healthcare technologies, addressing the balance between ethical guidelines and technological advancement
Establishing Local AI & HPC Compute Infrastrcuture
In 2021, Israel recommended building local computer systems to support artificial intelligence (AI) and high-performance computing (HPC). The government allocated funds to create infrastructure for AI model training, support startups developing AI hardware and software, and provide computing power for scientific research. This initiative helps researchers, startups, and industries improve AI capabilities and innovation.

























