对话市政协委员齐向东：AI助力京津冀科技成果转化“弯道超车”

Core Insights - The construction of smart cities in Beijing has entered a deep integration phase, with smart governance, transportation, energy, and healthcare becoming core engines for high-quality development [1][5] - AI is seen as a key driver in transforming scientific and technological achievements into marketable products, addressing information gaps between small and medium-sized tech enterprises and pilot testing platforms [6][10] Group 1: Innovation Chain and Challenges - The innovation chain is crucial for linking the industrial, financial, and talent chains, and its effective transformation is essential for high-quality urban development [4][5] - Beijing faces challenges in the "last mile" of technology transfer, particularly in pilot testing, compared to regions like the Yangtze River Delta and the Pearl River Delta [5][6] Group 2: Role of AI in Innovation - AI can bridge the information gap between pilot testing platforms and small tech enterprises, enhancing search and matching capabilities for better collaboration [6][10] - AI also helps reduce secondary development costs and shorten cycles in the pilot testing phase, improving compatibility and adaptability of research outcomes [6][10] Group 3: AI Safety Governance - AI safety governance should be proactive, establishing dynamic governance mechanisms that evolve alongside technology development [9][11] - The governance strategy should incorporate smart techniques, embedding safety and reliability into every stage of AI development and deployment [9][12] Group 4: Smart City Security Challenges - Beijing's smart city security faces four main challenges: real-time protection difficulties, comprehensive protection issues, precision protection challenges, and the need for continuous upgrades to counter evolving cyber threats [10][12] - AI can enhance security by enabling real-time responses, cross-system monitoring, and precise matching of protection strategies to specific scenarios [10][12] Group 5: Future Directions - Within five years, significant breakthroughs in AI safety governance are anticipated, with the potential to create a new benchmark for smart city security in Beijing [11][12] - The establishment of a collaborative response mechanism and the development of a scene-based intelligent security solution system are recommended to enhance the city's safety operations [11][12]