Executive Briefing: Will you learn Chinese to advance in AI?
According to research by AI2, China is poised to overtake the US in the most-cited 1% of AI research papers by 2025. The view that China is a copycat but not an innovator may no longer be true. Charlotte Han explores what the implications of China's government funding, culture, and access to massive data pools mean to AI development and how the world could benefit from such advancement.
| Talk Title | Executive Briefing: Will you learn Chinese to advance in AI? |
| Speakers | Charlotte Han (Independent) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | London, United Kingdom |
| Date | October 15-17, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
China plans to leapfrog in AI development and made such intentions clear by declaring to the world that it would be the world leader by 2025. According to research such as the publication of Allen Institute for Artificial Intelligence (AI2), China is well on its way to overtaking the US in the most-cited 1% of AI research papers by 2025, showing quality improvement in papers published by Chinese researchers. As AI research matures in China, it’s also becoming its own distinct community as the language issue creates asymmetry information. The rest of the world must be open-minded to the shift in technological leadership while offering collaboration opportunities and remaining on the firm ground around issues such as privacy, bias, and autonomous weapons in order to also benefit from such technological advancement. Charlotte Han explores what the implications of China’s government funding, culture, and access to massive data pools mean to AI development and how the world could benefit from such advancement.
