China’s AI Scene Heats Up with ‘Oil Thinking’ vs ‘Water-Flow Thinking’: What this means for the global AI landscape is a stark reminder of how competing visions can shape the future of tech. China’s top officials have been weighing in on AI development at the World Artificial Intelligence Conference (WAIC) in Shanghai, with one case study – Ma Xingrui, a top party official in Xinjiang – putting the spotlight on the country’s AI ambitions.
Ma Xingrui’s rise to power is often linked to his role in implementing China’s ‘Digital Xinjiang’ project, which uses AI and surveillance technology to monitor the region’s Uyghur population. This has sparked concerns over human rights and the use of AI for social control.
The contrast between ‘oil thinking’ and ‘water-flow thinking’ in AI development is also evident in the trade data. The former views AI as a scarce resource, with data and computing power being treated as exclusive commodities. This can create barriers and blockages, stifling progress. In contrast, ‘water-flow thinking’ sees AI as a natural flow of data and resources, with the aim of facilitating collaboration and progress.
Themes for Xi’s WAIC speech include the importance of AI in driving economic growth, improving public services, and enhancing national security. The Chinese government has set ambitious targets for AI adoption and development, with AI-powered industries expected to contribute significantly to the country’s GDP by 2030.
Former Australian Prime Minister Kevin Rudd has described Xi Jinping’s approach to AI as a ‘totalitarian model’ that prioritizes national security and social control over individual freedoms. Rudd’s comments reflect concerns over the potential misuse of AI in China, particularly when it comes to surveillance and monitoring.
The global community is watching closely as China continues to develop its AI capabilities, with many experts warning that the country’s approach could have far-reaching implications for the industry as a whole. As the world’s top AI powers compete for dominance, the choice between ‘oil thinking’ and ‘water-flow thinking’ will have a lasting impact on the future of AI development.
