An Overview of Existing Policies:
European Union's Artificial Intelligence Act: This comprehensive legislation aims to regulate AI systems within the EU, emphasising the protection of fundamental rights, democracy, and environmental sustainability while fostering innovation.
https://artificialintelligenceact.eu/South Korea's AI Act: Designed to support the AI industry and ensure the trustworthiness of AI systems, this legislation promotes innovation while protecting users through certification systems and ethical guidelines.
Press Releases - 과학기술정보통신부 > (msit.go.kr)Chilean AI Policy 2021-2030: Covering enabling factors, development and adoption of AI, and ethics and regulatory aspects, this policy focuses on fostering AI development while addressing its socio-economic impacts and ethical considerations.
Chile presents the first National Policy on Artificial Intelligence - Gob.cl (www.gob.cl)OECD.AI National Policy: With objectives including citizen empowerment, AI-enabling factors development, fostering AI use and development, and consensus-building on ethics and regulation, this policy promotes a human-centred approach to AI development and deployment. The OECD Artificial Intelligence Policy Observatory - OECD.AI
European Union Legislation on Data Protection (e.g., GDPR): Although not exclusively focused on AI, these regulations complement AI-specific policies by providing guidelines on data privacy and security, crucial for ensuring trustworthy AI systems and protecting user rights.
Data protection in the EU - European Commission (europa.eu)The Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, issued in the USA, establishes a framework for responsible AI development and deployment. It emphasizes principles such as promoting public trust, protecting civil liberties, ensuring safety and security, and fostering international collaboration. The order directs federal agencies to prioritize AI-related research and development efforts, coordinate policies, and establish guidelines for AI use across sectors. It highlights the importance of risk assessment, transparency, and accountability in AI deployment and encourages international engagement to address shared challenges. Overall, the policy aims to guide the USA in harnessing the benefits of AI while mitigating risks and ensuring alignment with societal values.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence | The White House
Nations that are top distributors of AI/tech
United States
The US leads in AI research, with Macro Polo finding that almost 60% of "top-tier" AI researchers work for American universities and companies. Mirae Assets suggests that $249 billion in private funding has been raised to date.
Silicon Valley alone is home to some of the most prominent vendors in the industry, including OpenAI, Google, Meta, and Anthropic, which have contributed to leading products such as GPT-4, DALL E-3, Gemini, Llama 2, and Claude 3. At this stage in the market’s development, GPT-4 is undoubtedly the golden goose of the AI race, achieving 100 million weekly active users.
AI investment in the region is extremely strong, with the U.S. raising $31 billion in funding across 1,151 deals in 2023. The top 3 deals belonged to Anthropic, Lightmatter, joint third to GreyOrange and xAI. AI investment in the region is also growing. The Goldman Sachs study linked above found that private investment in AI totaled $47.4 billion in 2022, more than half of the global investment in AI that year.
The US government is also actively investing in AI research and development, spending $3.3 billion on the technology in 2022.
China
The next most significant contributor to AI research is China, which has 11% of top-tier AI researchers (Macro Polo), 232 AI-related investments in 2023, and has raised $95 billion in private investment between 2022 and 2023, according to Mirae Assets.
Companies like Tencent, Huawei, and Baidu lead the country’s AI innovation with new releases, including Tencent’s Hunyuan’s large language model (LLM), a Chinese alternative to ChatGPT, Huawei’s Pangu, an LLM with 1.085 trillion parameters, and Baidu’s Ernie AI model, which the organisation claims offers capabilities on par with GPT-4.
The Chinese government is also investing heavily in the AI arms race, with IDC expecting China’s investment to reach $38.1 billion in 2027, equivalent to 9 percent of the world’s total.
The UK
For years, the UK has remained one of the leading contributors to the AI race. In fact, according to the International Trade Administration (ITA), the UK is the third largest AI market in the world after the US and China, sitting on a current valuation of $21 billion, which it estimates will reach $1 trillion by 2035.
The country boasts a wide range of AI startups in the region, including the leading AI development lab, DeepMind, behind AlphaGo and AlphaFold, and Darktrace, which uses AI to offer enterprises the ability to detect cloud-based threats in real-time.
Government spending on research and development is also on the rise, with Prime Minister Rishi Sunak reportedly planning to increase taxpayer spending on chips and supercomputers to £400 million, including a £100 million investment in a supercomputer facility located in Bristol in partnership with Hewlett Packard Enterprise and Bristol University.
Leaders from the UK gave their thoughts about the future of AI at Davos in January, acknowledging its power while urging for global safeguards.
Israel
Israel’s local tech scene has established itself at the forefront of AI development, achieving $11 billion in private investment between 2013-2022 (Mirae Asset), the fourth highest in the world.
According to Ctech, as of 2023, there are 144 generative AI-related startups in the country, with total investment in the sector reaching $2.3 billion. The Israeli government has also released plans to invest $8 million to advance the development of AI apps in Hebrew and Arabic.
The region is the home of established AI-driven organisations, including AI-driven cybersecurity platform Deep Instinct, creator of AI writing assistant Wordtune, AI21 Labs, and enterprise security AI provider SentinelOne.
Canada
Canada has quietly emerged as a top 5 player in the international AI research scene. Between 2022 and 2023, $2.57 billion was invested in AI research in the country, as total AI investment reached $8.64 billion.
The Government of Canada has also committed to investing in the development of responsible AI across the country, investing over $124 million in the Université de Montréal in June 2023 via the Canada First Research Excellence Fund.
Some of the top AI companies active in the country include enterprise LLM provider Cohere, generative AI platform Scale AI, and AI search provider Coveo.
France
France is not only one of the most significant economic powers in the European Union but also the region’s leading contributor to AI research, with 338 startups and $7 billion in private investment obtained from 2013-2022 (Mirae Asset).
More recently, CB Insights reveals that France raised roughly $1.5 billion in 2023 across 70 deals, with top beneficiaries including Mistral AI, Braincube, and HarfangLab. Government spending on AI is also expanding, with French President Emmanuel Macron committing to investing €500 million or approximately $533 million in funding to create new AI “champions.”
The country hosts a diverse range of AI startups, including open-source AI hosting platform Hugging Face, Mistral AI, the open-source Mistral 7B LLM creator, and AI cybersecurity provider Armis.
India
India is the largest country in South Asia and the region’s most significant contributor to AI research. Last year, India raised $3.24 billion, making it the 5th country with the most AI investment. India is also estimated to have the highest penetration rate of AI skills among all G20 and OECD countries.
The country’s Minister of State for Electronics and Information Technology, Rajeev Chandrasekhar, recently announced that the Indian government will launch the India AI program soon to help encourage growth in the local AI startup ecosystem.
Some key Indian AI startups to watch include conversational AI platform Avaamo, AI health check platform HEAPs, robotics and AI smart screening provider SigTuple, and AI-driven automation platform Yellow.ai.
Japan
As one of the largest economies in Southeast Asia, Japan has also played a critical role in developing AI internationally. Mirae Assets estimates that Japan is home to 294 AI startups and has obtained $4 billion in private investment in AI between 2013-2022.
CB Insights estimates that Japan raised $184 million in AI-related funding in 2023 across 115 deals. The countries with the most investment that year included Edgecortix, FastLabel, and Galapagos. The country has also released plans to invest 2 trillion yen or $13 billion into the development of semiconductors and generative AI as a whole, so there is potential for the nation to become a bigger player in the market in the future.
Notable AI startups based in Japan include leading robotics provider SoftBank Robotics, deep learning and autonomous vehicle vendor Preferred Networks, and AI healthcare and symptom checker Ubie.
Germany
According to Mirae Assets, Germany is another significant player in the global AI market, featuring 245 startups and having obtained $7 billion in private investment in AI between 2013 and 2022.
CB Insights found that the country raised over $1.4 billion across 71 deals in 2023. Top-funded companies included Aleph Alpha, Orbem, and Neura Robotics.
The German government is also planning to invest, back in August announcing it would double funding for AI research and pledging almost €1 billion towards developing AI solutions.
AI startups based in Germany include autonomous drone and air mobility provider Volocopter, multimodal LLM developer Aleph Alpha, deep learning translation company DeepL, and conversational AI platform Parloa.
Singapore
Lastly, Singapore is one of the top AI countries in Southeast Asia, with a modest ecosystem of 165 AI startups and $5 billion in AI investment generated between 2013 and 2022 (Mirae Assets).
In 2021, the Singapore government committed to investing roughly SGD500 million or $362 million in AI for five years as part of its National Artificial Intelligence Strategy. The country has also established a National AI office to collaborate with startups and research institutions in the region to help prompt growth.
Notable AI startups in Singapore include remote patient monitoring provider Biofourmis, data intelligence platform Near, conversational AI platform Active.Ai, and AI-based accounting platform Osome.
Source : https://www.techopedia.com/top-10-countries-leading-in-ai-research-technology