Shenzhen has achieved another breakthrough in intellectual property protection in an emerging technology field.

According to the Shenzhen Administration for Market Regulation (Shenzhen Intellectual Property Administration), under the guidance of the Shenzhen Institute of Standards and Technology, Shenzhen Quanyu Intelligent Technology Co., Ltd. ("Quanyu Intelligent") has successfully completed the registration of data intellectual property rights for its independently developed "Image Preference Alignment Data Based on Human Visual Neural Feedback" and obtained a registration certificate.

The registration of brain-computer interface (BCI) data intellectual property rights marks a significant step toward establishing rights over neural data and ensuring its compliant use. It provides a solid institutional and compliance framework for technological R&D and industry collaboration in cutting-edge fields such as brain foundation models, intelligent terminals, embodied intelligence, content generation, and human-computer interaction. It also fills a gap in the protection of data intellectual property rights in the BCI field in Guangdong Province.

The data intellectual property registration system is an important institutional framework in China for deepening the market-oriented allocation of data resources and regulating the development and utilization of data. A registration certificate records key information such as the source of the data, application scenarios, processing rules, and rights holders, serving as an effective credential for enterprises to possess and use data, conduct collaborative development, and safeguard their legitimate rights and interests.

The BCI dataset registered in this case closely addresses the core industry needs of understanding human preferences and achieving precise model alignment in the field of generative artificial intelligence. According to the report, the dataset relies on a standardized visual stimulation experimental system and multi-channel electroencephalogram (EEG) acquisition equipment to simultaneously collect and record subjects' neural signals, experimental parameters, and multidimensional subjective evaluation data. The evaluation dimensions include key indicators such as emotional valence, arousal, interest and preference, and visual inclination.

Compared with traditional text or image data, real-time dynamic EEG signals can more accurately capture continuous neural activity throughout the process of human visual perception. This provides artificial intelligence with a new dimension of feedback for accurately learning changes in human attention, interests, and aesthetic preferences. It also broadens the data sources available for content filtering and model training and iteration in generative AI, helping AI systems evolve toward more human-centered perception and cognition.

Shenzhen, as a major hub for brain science and artificial intelligence industries in China, is continuing to improve its public service system for data intellectual property rights and foster an ecosystem that supports the compliant protection, development, and utilization of high-value data.

In July this year, Pascini Sensory Technology successfully registered its independently developed "Meta-Action – Pouring" dataset, becoming Shenzhen's first data intellectual property registration case focusing on a specific meta-action scenario involving embodied intelligence interacting with the real physical world. The registration also filled a gap in Guangdong Province in the field of data intellectual property protection for real-world data collection for embodied intelligence.

The successful registration of BCI data intellectual property rights further expands the scope of data intellectual property protection and enriches its application scenarios. It also provides a practical model for the compliant collection, standardized processing, and commercial application of neural data, and is expected to inject new momentum into the development of data resources, technological innovation, and high-quality industrial growth at the intersection of brain science and artificial intelligence.