Israel - AI Policy Principles

Overview

The White Paper "Principles of Policy, Regulation and Ethics in Artificial Intelligence" (published for public consultation in late 2022) sets out a national policy framework recommending how Israel should approach regulation and ethics of AI. The paper frames AI policy around six core ethical principles (responsible innovation and growth; human-centricity and rights; equality and non-discrimination; transparency and explainability; reliability, robustness and safety; and accountability). It emphasizes a sectoral, risk-based regulatory strategy and proposes a government coordination and knowledge centre to support sectoral regulators. For the original government announcement see Government press release (17 Nov 2022) and for the subsequent consolidated policy document that built on the white paper see the official policy PDF on the Government of Israel site at Israel – Artificial Intelligence Regulation and Ethics Policy (Dec 2023).

Definitions

The White Paper defines "AI" broadly to include systems that perform tasks that would otherwise require human intelligence, including machine learning models, generative models and automated decision systems. It distinguishes between uses (the concrete application in a sector) and the underlying technology (models and datasets), and adopts a risk-based taxonomy that focuses regulation on use-case-specific harms rather than purely on technical characteristics of models.

Governance and Institutional Framework

The White Paper advocates for a decentralised governance architecture in which primary responsibility rests with existing sectoral regulators (health, finance, transport, communications, etc.), supported and coordinated by a national-level knowledge and coordination centre. The proposed centre (sometimes referred in later materials as the Government Center for AI Regulation and Policy) would provide technical guidance, a shared risk-management toolbox, mapping of cross-sectoral uses, and act as a liaison for international cooperation and standards adoption. See the policy follow-up that builds on these institutional recommendations at Israel – AI Regulation and Ethics Policy (Dec 2023).

Key Focus Areas

The White Paper organizes recommended interventions around seven priority regulatory and ethical challenges: (1) discrimination and bias prevention; (2) human oversight and means of human intervention; (3) explainability and transparency (including notifying users when they interact with AI); (4) disclosure obligations around automated decision-making; (5) safety, reliability, robustness and cybersecurity of AI systems; (6) accountability, documentation and auditability throughout the AI lifecycle; and (7) data protection, privacy and IP implications related to large-scale models. It supports adoption of international best-practices and standards (e.g., OECD AI principles) and proposes practical tools such as risk assessment templates, documentation (“record of processing and design decisions”), sandboxes and pilot projects to allow experimentation while managing risks.

Implementation Framework

Implementation is envisioned as incremental and pragmatic: sectoral regulators should map AI uses in their domains, conduct or require risk assessments proportionate to likely harms, adopt or issue guidance and standards, and deploy regulatory experiments (sandboxes) where appropriate. The paper recommends development of a centralized repository of non-binding guidance and technical resources to be maintained by the government coordination centre. Where public-sector AI is used, more prescriptive documentation and transparency measures are encouraged. The White Paper also recommends public consultation and multistakeholder engagement for ongoing rule development and sectoral roll-outs. See practical policy follow-up at Dec 2023 policy document.

Monitoring and Evaluation

Monitoring should be driven by sectoral regulators using shared KPIs and a common risk taxonomy. The coordination centre would collect anonymized data on incidents, near-misses and evaluations to identify systemic risks and to recommend policy adjustments. The White Paper encourages periodic reviews to determine whether certain areas require shift from soft rules to binding regulation based on observed harms or technological developments.

Penalties, Liability, and Appeals

The White Paper does not propose a single, new punitive regime; rather it advises regulators to use existing statutory enforcement powers where appropriate and to consider introducing targeted sanctions only in high-risk sectors or cases where gaps are identified. It emphasizes accountability through documentation, audit trails and the ability to investigate incidents. Liability and redress mechanisms are left to sectoral law and future legislative processes rather than being prescribed centrally in the White Paper.

Relationship to Other Instruments

The White Paper explicitly situates Israeli AI policy in a global context and recommends interoperability with instruments such as the OECD AI Recommendation and international technical standards. It notes the EU AI Act and other international proposals as important comparators and aligns Israel’s recommended approach with international best practices while favouring a sectoral, risk-based pathway that preserves innovation incentives.

International Alignment

International alignment is a stated objective: the White Paper recommends active Israeli participation in multilateral fora (OECD, Council of Europe, GPAI) and harmonization where possible to reduce cross-border compliance costs. It also highlights interoperability to facilitate Israeli companies’ access to export markets (notably the EU) and to support reciprocal recognition of standards and certifications.

Implementation Timeline

Sources and References