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ObjectiveAction(s)IndicatorsResourcesResponsible teamTimeframeStatusAlignment with the DTS 2030 ObjectivesDonor support
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O1: Develop the legal framework for the responsible use of AI: transposition and alignment with European Union AI legislation.1. Update and reissue of the White Book on Data governance and AI.
White Book updated and reissued.
1. Formation of a working group for the analysis of legislation, organization of periodic meetings, study of relevant legislative documents.
2. Experts on EU AI Act, CoE Framework Convention;
3. National experts on data governance and AI.		MDED2024-2025In progressOG 2. Dvelopment of a robust and comtetitive IT sector
OG 4. Insitutie an efficient, intelligent and transparent digital state
OG 6. Consolidation of the image of the Republic of Moldova as a digital nation
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2. Support in the development of the documents required for the signature of the CoE Framework Convention on AI, human rights, democracy and the rule of law (CoE AI Treaty).1. CoE AI Treaty signed.
2. No. of working meetings on the development of HUDERIA.		MDED2024-2025Accomplished
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3. Support in preparing the documents for the transposition of the EU AI Act and the EC Decision establishing the EU AI Office.1. Number of normative acts discussed and aligned with EU legislation adopted annually.
2. Percentage of domestic regulations that comply with EU AI standards.		MDED2024-2025In progress
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4. Public consultations and multistakeholder working sessions.The number of public consultations and feedback received from stakeholders on the proposed legislation.MDED2024-2025In progress
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O2: Identify and validate the specific needs of each government sector in terms of AI and data governance.1. Assess the AI and data governance needs and priorities of each sector.1. Rapid diagnosis for each sector, number of sectoral needs analysis contributions made in the first 6 months.
2. Percentage of sectors/Ministries, subordinate institutions with validated and documented needs.
3. No. of government institutions involved in the needs identification process.
4. No. of respondents per sector to rapid diagnostic questionnaires;
5. No. of interviews and focus groups carried out per sector and in total.
6. No. of sectoral interventions defined following the identification of sectoral needs.		1. Development of questionnaires for rapid diagnosis.
2. Collection, analysis and processing of data.
3. Development of sectoral reports.		MDED2024-2025In progress
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2. Develop a roadmap for the implementation of the World Bank recommendations on Data Governance in Moldova.1. No. of documents developed.
2. No. of recommendations implemented.
3. No. of working sessions held.		Technical expertise.MDED, EU4Digital2024-2025In progressEU4Digital Facility
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O3: Facilitate collaboration between stakeholders to develop innovative AI solutions tailored to validated needs.1. Contribute to the piloting the DG NEAR - GenAI Pilot Project.1. No. of working meetings.
2. No. of stakeholders involved.		Technical expertise.MDED, ARIJ, ME, MJ2024-2025In progress
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2. Identify 2-3 use-cases where AI tools could be successfully implemented in the public sector. .No. of use-cases identified.MDED, Sigmoid, IA în Acțiune2024-2025Not launched
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3. Map the process for the design, development and implenentation of a least 1 AI solution in the public sector. 1. Number of cross-sectoral AI projects launched annually.
2. Level of stakeholder satisfaction with facilitated collaborations (measured by surveys).
3. Percentage of developed AI solutions that are successfully implemented in targeted sectors.		MDED, Sigmoid, IA în Acțiune2024-2025Not launched
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O4: Promote the responsible development of AI by contributing to the development of policies, ethical guidelines and principles for development and use, as well as through oversight mechanisms.
1. Ensuring the ethical and responsible development and use of AI.1. Number of ethical policies and guidelines developed and published.
2. Number of surveillance and compliance mechanisms implemented.
3. Percentage of AI projects that comply with established ethical principles and guidelines.		Technical expertise.MDED2024-2025In progress
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O5: Accelerate the adoption of AI in the public and private sectors1. Promoting rapid and efficient adoption of AI technologies in the public and private sectors.1. Number of technical assistance sessions and trainings organized for the public sector.
2. Number of civil servants trained (central/local)
3. The type of resources (guides, toolkits) provided for the implementation of AI in the public and private sectors.
4. Percentage of public institutions piloting AI solutions in their operations.
5. Percentage of private actors piloting AI solutions in their operations.		Technical expertise.MDED, Sigmoid, IA în Acțiune2024-2025Not launched
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