Capacity Building On AI and Cybersecurity

AI Technology Trends and Inclusive Development

Lecturer: John Stuart Higgins

Co-Lead of Standards Program of World Internet Conference Specialized Committee on Artificial Intelligence, Chair of International AI Governance Association, former Director-General of  DIGITALEUROPE.

He outlined major trends in AI development and analyzed pressing challenges - including fragmented global governance, inconsistent regional regulations and the widening digital divide. 

Higgins highlighted the importance of technological sovereignty, capacity building and trusted standards. He also called for stronger international cooperation, coordinated standards-setting and open-source collaboration to improve AI governance worldwide. 

He said that governance frameworks should balance flexible guidance with enforceable rules, while unlocking AI's transformative potential and helping developing countries strengthen AI application capabilities and risk management.

Low-Altitude AI Security and Agent Security

Lecturer: Zhu Xiaodong

President of Hangzhou Anheng Low-Altitude Security Technology and Vice President of DAS-Security. 

Zhu introduced the background, market scale and major application scenarios of China's low-altitude economy. 

He also analyzed drone-related security risks, outlined protection systems for public and economic security in low-altitude airspace, and shared China's governance and regulatory experience in aircraft safety and insurance. 

As AI agents and autonomous operating technologies evolve rapidly, Zhu said new risks were emerging, including expanded permissions, broader attack surfaces and supply-chain vulnerabilities. He proposed a governance approach of “using AI to counter AI” and “governing AI with AI”.

Cybersecurity Challenges and Governance in the Age of AI

Lecturer: Robert Wang 

Vice-Chair of World Internet Conference Specialized Committee on Artificial Intelligence,COO of Weibo, CEO of Sina Mobile, Dean of Sina AI Media Research Institute.

Wang highlighted three major cybersecurity challenges brought by the AI wave. On technical security, Wang said prompt injections, over-delegation and abuse of agent permissions had become prominent risks, calling for stronger security monitoring and anomaly-blocking mechanisms. 

On data security, he addressed issues - including protection of sensitive information, compliance of training data, cross-border data flows, copyright and privacy protection. 

Furthermore, he proposed practical measures such as data classification systems, full-process compliance reviews and internal sandbox deployments. On ethical security, Wang examined algorithmic bias, value alignment and the opacity of safety guardrails, advocating a comprehensive governance framework.