AI strategies are an excellent approach to aligning objectives and thoughts towards specific national goals. Each country or region has its own AI plan, which we analyse here.
This is an excellent way for enterprises to align with national and international policies.
We hope you find this helpful resource as we constantly read and add more countries to this list. Please be patient while we add more, or please feel free to contact us if there are any recommendations.
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A
Australia AI strategy
- Australia’s Artificial Intelligence Action Plan
- Latest release: 18 June 2021
- Latest focus and key points:
Here is a summary of the key points from Australia’s AI Action Plan 2021 report. The strategic vision is to establish Australia as a global leader in developing and adopting trusted, secure, and responsible AI:- Aims to:
- Drive productivity and prosperity
- Create jobs
- Enable the solving of the real-world problems of today
- Grow the businesses and sectors of tomorrow.
- 4 focus areas of the action plan:
- Developing and adopting AI to transform Australian businesses
- Creating an environment to grow and attract world’s best AI talent
- Using cutting-edge AI Technologies to solve Australia’s national challenges
- Making Australia a global leader in responsible and inclusive AI
- Key actions under Focus 1 – Developing/Adopting AI:
- Establish National AI Centre and 4 AI & Digital Capability Centres ($53.8 million)
- Fund competitive grants to deploy AI in regional areas ($12 million)
- Support industry-led, AI focused Cooperative Research Centres (CRCs)
- Help manufacturers adopt AI via the Modern Manufacturing Strategy
- Key actions under Focus 2 – Growing AI Talent:
- Fund competitive national AI scholarships to train job-ready graduates ($24.7 million)
- Support AI research via the Australian Research Council (over $200 million since 2018)
- Key actions under Focus 3 – Solving National Challenges:
- Jointly develop solutions with industry to address national economic, health and environmental challenges ($33.7 million)
- Support AI medical research via the Medical Research Future Fund
- Key actions under Focus 4 – Responsible/Inclusive AI:
- Implement and promote Australia’s AI Ethics Principles
- Support Australia’s AI values in international forums
- Review the Privacy Act and develop the Australian Data Strategy
- Total new 2021-22 Budget measures to strengthen Australian leadership in AI: $124.1 million
- Implementation will require collaboration between government, industry, researchers, and civil society.
- Aims to:
- Links:
S
Singapore AI strategy
- NAIS 2. Singapore AI strategy. AI for the Public Good. For Singapore and the World
- Latest release: 2023
- Latest focus and key points:
- Vision is to achieve “AI for the Public Good” – harness AI to uplift people and businesses in Singapore and globally
- Twin goals are excellence
- Develop peaks of excellence in AI
- Enable confident use of AI
- 3 systems framework:
- Activity Drivers (industry, government, research)
- People & Communities (talent, capabilities, placemaking)
- Infrastructure & Environment (compute, data, trusted environment)
- Key activity drivers:
- leading economic sectors
- Smart Nation priorities
- Cross-cutting capabilities like AI for business operations and foundational AI
- Will attract world-class AI talent to anchor R&D activities in Singapore
- Aims to boost the pool of AI practitioners to 15,000 through training programmes
- Will promote baseline digital adoption by enterprises to enable more sophisticated AI usage
- Plans to establish an iconic physical space for the AI community to congregate and exchange ideas
- Will increase access to compute power and data assets to serve AI innovation needs
- Outlines approach for responsible and ethical AI governance, anchored on model AI governance framework
- Commits to contributing actively to international conversations and partnerships on AI governance and innovation
- Links:
U
United Kingdom AI strategy
- National AI strategy
- Latest release: 22 September 2021
- Latest focus and points:
- Vision & Goals: To make the UK a global AI superpower and science leader over the next decade by investing in the AI ecosystem, ensuring benefits across sectors and regions, and establishing effective governance. The goals are to increase AI discoveries and commercialisation in the UK, maximise economic growth from AI, and build the world’s most trusted system for governing AI.
- Pillar 1 – Investing in the AI Ecosystem:
- Skills & talent: Inspire and train more people to develop and use AI through scholarships, fellowships, boot camps, immigration routes etc.
- Research & innovation: Launch a national AI research and innovation programme across UKRI, aligned to industry needs.
- International collaboration: Partner with other nations on AI R&D and governance.
- Data & compute access: improve data availability, quality, and foundations. Evaluate the UK’s computing needs.
- Finance: Evaluate the funding landscape for AI companies and address gaps.
- Trade: Get the best possible digital/AI provisions in trade deals.
- Commercialisation: Understand and stimulate AI adoption across sectors.
- Pillar 2 – Benefit All Sectors/Regions
- Measure AI adoption and diffusion.
- Stimulate AI use in currently low-adoption sectors via R&D programme.
- Develop a National AI Strategy for health and social care.
- Apply AI to policy missions, e.g. net zero, leverage procurement.
- Support high-potential sectors or locations.
- Pillar 3 – Effective Governance
- Consult on the need for cross-sector AI regulation vs the current sector-based approach.
- Develop assurance frameworks and ecosystems for AI systems.
- Enhance regulators’ capabilities re: AI and improve coordination.
- Engage internationally, e.g. at GPAI.
- Grow engagement based on AI standards.
- The public sector will lead by example on ethical AI deployment.
- Assess and mitigate AI safety risks, including long-term ones.
- Links:
United States AI strategy
- National AI strategy
- Latest release: May 2023
- Latest focus and points:
- Artificial intelligence (AI) is recognised as a top strategic technology priority and a major area for research investment by the Biden-Harris administration. Significant funding increases for AI R&D were requested in the FY2023 federal budget.
- The report reaffirms 8 key strategies from prior years and introduces a new 9th strategy focused on international collaboration in AI research.
- Strategy 1 calls for long-term investments in fundamental and responsible AI research across machine learning, computer vision, robotics, hardware, and sustainable AI systems.
- Strategy 2 focuses on developing methods for effective human-AI collaboration and teaming in areas like performance measurement, cultivating trust, system transparency, and interaction design.
- Strategy 3 aims to address the ethical, legal, and societal implications of AI through research on topics like algorithmic fairness, privacy, value alignment, governance, and monitoring for bias and harms.
- Strategy 4 covers research priorities around the safety, security, testing, and resilience of AI systems against threats.
- Strategy 5 focuses on developing shared public datasets, computing resources, testing frameworks, and open-source libraries to democratise access to resources for AI R&D.
- Strategy 6 calls for standards, benchmarks, metrics, testbeds, and community engagement to measure and evaluate trustworthy AI systems.
- Strategy 7 aims to characterise, develop, and support the national AI R&D workforce through education, training, diversity efforts, and understanding labour market needs.
- Strategy 8 looks to expand public-private partnerships and collaboration between government, academia, and industry to accelerate AI innovation.
- New Strategy 9 establishes priorities around international collaboration in AI research to cultivate trustworthy AI globally and encourage AI innovation for societal benefit.
- The National Institute of Standards and Technology (NIST) will be foundational in the development of guidelines and best practises for “developing and deploying safe, secure, and trustworthy AI systems,” and businesses should consider evaluating their existing AI risk management frameworks against the NIST AI Risk Management Framework to establish a baseline and prepare for additional guidance from relevant agencies and regulatory bodies.
- The United States should encourage responsible innovation, competition, and collaboration via investments in education, training, R&D, and capacity while also addressing intellectual property rights issues and preventing illegal collusion and monopolisation over vital assets and technology.
- The privacy and civil rights of Americans must be preserved by ensuring that data collection, usage, and retention is legitimate, secure, and promote privacy.
- It is critical to control the risks associated with the federal government’s own use of AI and to strengthen its own ability to regulate, oversee, and encourage responsible use of AI in order to provide better results for Americans.
- The federal government should pave the path for global social, economic, and technical advancement, particularly by working with international partners to create a framework for managing AI dangers, unlocking AI’s potential for good, and promoting a collaborative approach to common concerns.
- Links