China - AI Industry Development Plan (2017)
Promoting the Development of the New Generation Artificial Intelligence Industry: Three‑Year Action Plan (2018–2020)
促进新一代人工智能产业发展三年行动计划(2018-2020)
China
RAI-CN-NA-PDNGAXX-2017China - AI Industry Development Plan (2017) is Superseded in China as of 10 Sep 2026, according to www.cac.gov.cn.
PolicyGovernance and OversightSafety, Testing, and EvaluationCybersecurity and Model SecurityIssued by the Ministry of Industry and Information Technology (MIIT) in December 2017, this three‑year action plan (2018–2020) sets operational targets and implementation measures to accelerate industrialization and the large‑scale deployment of new‑generation artificial intelligence (AI) technologies across priority sectors. It identifies priority products and infrastructure, key technology gaps (chips, sensors, open platforms), targets for performance and scale, and measures for institutional support, talent development and standardization.
Summary
The "Promoting the Development of the New Generation Artificial Intelligence Industry: Three‑Year Action Plan (2018–2020)" (MIIT Sci〔2017〕315) is an operational, industry‑focused policy document released by the Ministry of Industry and Information Technology on 14 December 2017 that translates the strategic direction set out by the State Council's "New Generation Artificial Intelligence Development Plan" and the "Made in China 2025" initiative into a set of concrete three‑year industrial objectives and measures. The Plan's primary aim is to accelerate the industrialization and integrated application of AI technologies with manufacturing, establish a stronger domestic AI product base, and put in place key supporting public infrastructure and services to ensure rapid industry scaling. The Plan enumerates four major task areas: (1) cultivate and scale priority intelligent products and application domains—17 products/areas are listed including intelligent connected vehicles, service robots, UAVs, medical image assisted diagnosis systems, video image identity recognition, intelligent speech interaction, intelligent translation and smart home products; (2) strengthen core industrial foundations by developing key components such as intelligent sensors, neural network chips and open, open‑source platforms; (3) deepen intelligent manufacturing by encouraging AI applications in industrial processes, equipment, and new manufacturing models; and (4) build industry public support systems such as sectoral training data repositories, standards and testing platforms, IP services, intelligent network infrastructure and cybersecurity protection. The Plan sets measurable 2020 targets (for example, product scale‑up, enhanced core capabilities, and specific technical indicator targets such as translation accuracy benchmarks), and proposes five categories of supporting measures: strengthening organizational implementation and intergovernmental coordination, increasing financial and policy support, encouraging innovation and entrepreneurship, accelerating talent cultivation, and optimizing the development environment (including guidance on reasonable industry data opening and international cooperation). Implementation responsibilities are assigned to MIIT with instructions to provincial and municipal industry and information technology departments, and companies are encouraged to form industrial clusters, build laboratories and innovation platforms, and participate in national demonstration programs. The document is principally promotional and prescriptive rather than punitive; it primarily conditions access to support, funding and inclusion in national demonstration projects on compliance with the Plan's requirements and targets. The Plan also calls for the development of standards, testing and evaluation frameworks and for strengthening cybersecurity and data governance measures as part of public support systems. Official publication and attachments are hosted on the MIIT website and were re‑published via authoritative portals including the Central Cyberspace Administration (CAC) and other provincial MIIT pages.
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The "Promoting the Development of the New Generation Artificial Intelligence Industry: Three‑Year Action Plan (2018–2020)" is a ministerial implementation plan issued by the Ministry of Industry and Information Technology (MIIT) on 14 December 2017 (document number 工信部科〔2017〕315号). It operationalizes national AI strategy by specifying priority product lines, core technology gaps, public support infrastructure, and 2020 targets to catalyze industrialization and large‑scale application. The Plan complements the State Council's "New Generation Artificial Intelligence Development Plan" and aligns with "Made in China 2025". The official notice and the Plan attachment are published on the MIIT site and reposted by the Central Cyberspace Administration; see the official release on MIIT's website (MIIT notification) and the repost on the Central Cyberspace Administration site (CAC repost).
Definitions
The Plan uses operational definitions typical for industrial policy: "new generation artificial intelligence" (新一代人工智能) refers to algorithms, models and systems emphasizing deep learning, neural networks, perception and cognition capabilities. "Intelligent products" are marketable devices or systems embedding AI capabilities (e.g., intelligent vehicles, robots, UAVs). "Industry public support systems" include shared datasets, standards and testing platforms, IP services, and secure network infrastructure. "Intelligent manufacturing" signals application of AI across manufacturing stages (R&D, production, logistics, management). The Plan frames targets and indicators for 2020 (scale, capability and demonstrators) rather than defining legal liabilities.
Governance and Institutional Framework
The Plan assigns primary responsibility to MIIT for overall coordination and directs provincial/municipal industry and information technology departments and relevant communications bureaus to implement the Plan locally. It calls for strengthened "department‑province" cooperation, leveraging national industrial demonstration bases, and using existing funding channels to support prioritized projects. The Plan also encourages establishment of manufacturing innovation centers, key laboratories and industry alliances; it instructs government agencies to set up industry‑level statistical systems and monitoring mechanisms. Implementation is driven through program inclusion, funding prioritization and establishment of demonstration zones; MIIT communicates targets and solicits participation from leading enterprises and research institutes. For the official notice and attached Plan see MIIT's publication (MIIT document page) and the CAC summary repost (CAC press).
Key Focus Areas
The Plan identifies four priority task groups: (1) scale and application of intelligent products (17 priority products and fields such as intelligent connected vehicles, service robots, UAVs, medical imaging assisted diagnosis, video image identity recognition, intelligent speech interaction, intelligent translation and smart home products); (2) core foundational technologies (intelligent sensors, neural network chips, open‑source/open platforms, algorithm toolchains); (3) deepening intelligent manufacturing by integrating AI into industrial value chains and promoting new manufacturing models; and (4) industry public support infrastructures — sectoral training datasets, standard testbeds, IP services, smart networking capacity and cybersecurity safeguards. For each targeted product class the Plan provides indicative technical performance targets and commercialization scale objectives to be achieved by 2020, for example explicit performance benchmarks for certain translation and recognition tasks. The Plan emphasizes bridging weak links in the supply chain (notably chips and sensors), promoting open platforms for ecosystem growth, and encouraging cluster formation and industrial parks to accelerate commercialization.
Implementation Framework
Implementation is operationalized by: (a) identifying and supporting leading enterprises to pursue scale‑up; (b) encouraging provinces and localities to leverage industrial demonstration bases and design local implementation and incentive schemes; (c) establishing innovation centers, key laboratories and open innovation platforms; (d) channeling existing public funds and encouraging local fiscal support and industry‑finance linkage; (e) promoting demonstration projects and pilot zones; and (f) encouraging reasonable industry data sharing while strengthening data governance and cybersecurity. The Plan sets specific operational targets and invites industry participation in meeting 2020 benchmarks through cooperative R&D, standardization and platform contributions. MIIT directs relevant agencies to track progress, collect statistics and compile implementation reports to support adjustments and follow‑on policies. The Plan’s orientation is facilitative and incentive‑driven rather than prescriptive in imposing compliance penalties.
Monitoring and Evaluation
The Plan requires MIIT and local industry authorities to establish statistics and monitoring systems to track implementation progress, product commercialization and capability improvements. It promotes periodic reporting, technical evaluations and the use of measurable performance indicators tied to 2020 milestones. MIIT instructed provinces to submit implementation plans and to cooperate in national evaluations; provincial agencies were subsequently asked to assist MIIT in a 2020 summary and evaluation exercise. Monitoring tools include demonstration project reviews, laboratory and platform assessments, industry statistics, and targeted technical testing against the Plan’s benchmarks.
Penalties, Liability, and Appeals
The Plan itself is an action and implementation instrument and does not create new administrative criminal penalties. It does, however, link compliance to eligibility for financial support, inclusion in national demonstration projects and access to government channels (e.g., preferential funding, selection for national labs or industrial parks). The document calls for strengthened cybersecurity and IP protections; failures in these areas could expose firms to existing laws and sectoral regulations. In practice, administrative consequences for non‑compliance are operational (loss of program benefits, exclusion from demonstration lists) rather than criminal sanctions imposed directly by the Plan text.
Relationship to Other Instruments
The Plan implements and operationalizes higher‑level instruments: chiefly the State Council's "New Generation Artificial Intelligence Development Plan" (国发〔2017〕35号) and aligns with "Made in China 2025". It functions as a ministry‑level implementation plan (MIIT) and provides granularity for industrial deployment and manufacturing integration. Local governments and sectoral authorities were instructed to reference and align their own AI and intelligent manufacturing plans to the three‑year targets. The Plan does not repeal or supersede existing laws; rather, it complements national strategy by supplying concrete sector targets and implementation guidance.
International Alignment
The Plan emphasizes opening and cooperation, encouraging bilateral and multilateral collaboration on AI R&D and standards. It calls for industry to participate in international standard‑setting and for China to build competitiveness in targeted product areas. While primarily inwardly‑focused on industrial scaling, the policy explicitly supports international cooperation in innovation, exchanges for talent, and cross‑border technical collaboration, and encourages alignment of testing and standards to facilitate international market access.
Implementation Timeline
| Period | Milestone |
|---|---|
| 2017‑12 | MIIT issues notification and attachment (工信部科〔2017〕315号) and circulates Plan to provinces (official MIIT notice). |
| 2018 | Launch of demonstration projects, establishment of innovation centers, local implementation plans and pilot zones; begin data repository and standards work. |
| 2019 | Scale‑up of prioritized intelligent products, acceleration of sensor/chip development, pilot intelligent manufacturing deployments, expanded funding and talent programs. |
| 2020 | Target year: achieve product scale‑up, strengthen core capabilities, establish basic industrial public support systems; national evaluation and summary of the three‑year Plan (provincial cooperation requested for assessment in Dec 2020). |
Sources and References
Requirements for a company
What an organisation has to do under China - AI Industry Development Plan (2017), at a glance. Not legal advice.
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