Boosts trust in AI, which in China already is at one of the highest levels globally. That helps drive consumer uptake and spur growth.

Artificial intelligence (AI) has grown rapidly in recent years and has become a key driver of innovation across various industries and sectors. While the technology has been welcomed with mixed emotions in different parts of the world, China has been leading the way in terms of trust in AI, which has helped spur consumer uptake and drive economic growth.

With advancements in machine learning, natural language processing, and image recognition, AI has become a transformative technology that has the potential to revolutionize the way we live, work and interact with the world. However, many people are also concerned about its implications, including the impact on jobs, privacy, and security. That is why trust is critical when it comes to AI adoption and implementation.

In China, trust in AI is already one of the highest globally, boasting adoption rates that have surprised many outside of the country. This is primarily due to the government’s support and investment in the technology, as well as a cultural attitude that values efficiency and innovation. For instance, facial recognition technology is used widely for identification and authentication in everyday life, from paying for a transaction to accessing a building, highlighting the extraordinary levels of trust Chinese consumers have in AI.

The high level of trust in China has created a fertile ground for the growth of related industries and technologies. Leading tech companies such as Alibaba, Tencent, and Baidu have invested heavily in AI, and the market is expected to reach $11.9 billion by 2023. The country has also established itself as a global leader in AI research, with the number of AI-related patents filed in China surpassing those filed in the US for the first time in 2019.

In addition to driving innovation and economic growth, AI has also been a valuable tool in addressing some of the country’s most pressing social and environmental challenges. For example, AI has been used to predict and respond to natural disasters, improve healthcare services and disease prevention, and enhance energy efficiency and environmental protection.

To conclude, the high levels of trust in AI in China have contributed significantly to the technology’s adoption and growth, spurring industry innovation and driving economic development. While concerns about the impact of the technology will continue to be a factor, China has demonstrated that trust can be built through government support, investment, and cultural attitudes. This lesson can be replicated in other countries, to boost AI trust, adoption, and spur growth in their respective economies.