US20260122299
2026-04-30
Electricity
H04N21/25841
The patent application describes a system that integrates location data with digital content to create a location-aware, generative artificial intelligence (AI) model. This model is designed to enhance digital content by incorporating location-specific information, thus enabling more relevant and context-aware AI-generated solutions. This approach leverages the capabilities of generative AI models, such as those used in ChatGPT, to produce outputs that are informed by the geographical context of the data.
The system involves a processing setup that includes a processor and memory storing executable instructions. These instructions allow the system to identify digital content and its associated location data, enrich the content with this data, and configure a generative AI model accordingly. The result is a location-aware AI model capable of generating solutions tailored to the location-enriched digital content. This process involves modifying the content based on its geographical context to create a more nuanced and precise AI output.
The application outlines various processes, including identifying location data linked to digital content, modifying this content, and configuring a generative AI model to produce location-aware solutions. This method can be implemented through a non-transitory, machine-readable medium that executes these operations. The location-aware AI model thus generated is adept at providing solutions that are not only contextually relevant but also informed by the specific geographical characteristics of the input data.
The application addresses the ethical implications of using location-based data in AI models, emphasizing the importance of data ownership and privacy. It highlights concerns about the use of personal and copyrighted data in generative AI models and suggests that local laws and regulations should guide the ethical use of such data. The proposed system aims to mitigate risks by incorporating location-aware AI governance, ensuring ethical data use in both local and global contexts.
The patent also describes a communication network infrastructure that supports the integration of location data with digital content. This network includes various access points and devices, such as broadband, wireless, and media access terminals, which facilitate the distribution and processing of content. The infrastructure is designed to support diverse forms of digital content delivery, ensuring that the location-based generative AI model can be effectively deployed across multiple platforms and devices.