- With the rapid development of artificial intelligence, new intelligent paradigms such as large models, generative artificial intelligence, multi-agent systems, and embodied intelligence are continuously emerging. Artificial intelligence is being increasingly integrated into key fields such as intelligent transportation, smart manufacturing, smart healthcare, financial technology, the low-altitude economy, and social governance. As the core foundation of artificial intelligence, data plays a crucial role in data collection, storage, processing, sharing, training, inference, and application. However, while artificial intelligence accelerates the release of data value, it also introduces a series of new challenges, including data leakage, privacy infringement, data misuse, model theft, adversarial attacks, insufficient compliance of training data, and unclear accountability in cross-domain data circulation, which seriously hinder the secure and trustworthy development of artificial intelligence.
This forum focuses on data security and privacy protection in artificial intelligence. It aims to discuss theoretical foundations, methodological innovations, system implementations, and representative applications regarding data security risks, privacy-preserving mechanisms, trustworthy governance methods, and key enabling technologies throughout the full lifecycle of artificial intelligence. The forum is intended to provide a high-level platform for academic and industrial exchanges, promote interdisciplinary integration among artificial intelligence, security, communications, computing, control, and governance, and facilitate the development of AI paradigms that jointly consider security, privacy, trustworthiness, and usability. It is expected to provide both theoretical support and practical references for the healthy development and industrial deployment of artificial intelligence technologies.
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