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-2017Issued 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
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Overview
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). |
Compliance Checklist
| Area | Action |
|---|---|
| Strategy alignment | Prepare local/enterprise implementation plan aligned to MIIT targets and contribute required reports to industry authorities. |
| Product development | Prioritize one of the 17 product areas, document technical indicators and commercialization roadmap. |
| Core tech | Invest in sensors/chips/platforms and participate in open‑platform initiatives. |
| Public support | Contribute to/host training datasets, testing platforms and IP services where feasible. |
| Standards & testing | Adopt and participate in standard development and third‑party testing where available. |
| Cybersecurity & data governance | Implement network security measures and data handling consistent with sectoral rules and guidance. |
| Talent | Establish training pathways and recruit R&D and engineering talent per Plan guidance. |
Sources and References
This Chinese government policy, effective from 2018 to 2020, aimed to accelerate the industrialization and large-scale deployment of new-generation artificial intelligence (AI) technologies, primarily guiding companies, research institutes, and local authorities involved in China's AI industry.
Issued by the Ministry of Industry and Information Technology (MIIT) in December 2017, this three-year action plan set operational targets to boost AI development across priority sectors. It applied broadly to any entity engaged in AI, from tech companies and academic research groups to provincial and municipal government departments tasked with implementing the plan locally. The core objective was to operationalize China's national AI strategy.
The plan outlined several key areas for action: - Scaling up intelligent products, such as smart vehicles, service robots, and AI-powered medical diagnostics. - Developing core foundational technologies, including intelligent sensors, neural network chips, and open-source AI platforms. - Deepening intelligent manufacturing by integrating AI into industrial value chains. - Building public support infrastructure, like shared datasets, standard testing platforms, and cybersecurity safeguards.
While this plan did not impose direct legal penalties or fines, its enforcement teeth came from the allocation of government support. Companies and research institutes that aligned with the plan's priorities were eligible for financial aid, inclusion in national demonstration projects, and access to preferential funding or national labs. Conversely, those failing to participate or meet the specified benchmarks risked being excluded from these significant opportunities. The plan also emphasized strengthening cybersecurity and intellectual property protections, where failures could lead to penalties under existing laws. A practical pitfall for businesses is that ignoring this policy, despite its lack of direct legal sanctions, could severely limit their access to crucial government resources and strategic partnerships, effectively hindering their growth in China's AI sector. The plan concluded its implementation period and evaluation in 2020.
Plain-English rewrite by Regulations.ai — not legal advice. Verify against the official text.
What you must do — compliance checklist
0 / 13 marked completePlain-English obligations under China - AI Industry Development Plan (2017). Not legal advice — verify against the official text before relying on it.
- #1CriticalPenalties, Liability, and Appeals
Applies to: All organizations deploying AI systems
“The document calls for strengthened cybersecurity... failures in these areas could expose firms to existing laws”
- #2CriticalPenalties, Liability, and Appeals
Applies to: All organizations handling data for AI systems
“strengthening data governance and cybersecurity; failures in these areas could expose firms to existing laws”
- #3ImportantCompliance Checklist⏰ By 2020
Applies to: Enterprises developing AI products or technologies
“Prepare local/enterprise implementation plan aligned to MIIT targets”
- #4ImportantCompliance Checklist⏰ By 2020
Applies to: Enterprises participating in AI development programs
“contribute required reports to industry authorities”
- #5RecommendedCompliance Checklist⏰ By 2020
Applies to: Enterprises developing intelligent products
“Prioritize one of the 17 product areas”
- #6RecommendedCompliance Checklist⏰ By 2020
Applies to: Enterprises developing intelligent products
“document technical indicators and commercialization roadmap”
- #7RecommendedCompliance Checklist⏰ By 2020
Applies to: Enterprises developing core AI technologies
“Invest in sensors/chips/platforms”
- #8RecommendedCompliance Checklist⏰ By 2020
Applies to: AI technology developers and providers
“participate in open‑platform initiatives”
- #9RecommendedCompliance Checklist⏰ By 2020
Applies to: Organizations with relevant AI data or infrastructure
“Contribute to/host training datasets, testing platforms”
- #10RecommendedCompliance Checklist⏰ By 2020
Applies to: AI industry stakeholders
“Adopt and participate in standard development”
- #11RecommendedCompliance Checklist⏰ By 2020
Applies to: Providers of intelligent products
“participate in standard development and third‑party testing”
- #12RecommendedCompliance Checklist⏰ By 2020
Applies to: Educational institutions and enterprises
“Establish training pathways”
- #13RecommendedCompliance Checklist⏰ By 2020
Applies to: Enterprises developing AI technologies
“recruit R&D and engineering talent per Plan guidance”
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