Location-based, generative artificial intelligence

1 . A system, comprising:

a processing system including a processor; and

a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:

identifying digital content;

determining source location data associated with the digital content;

enriching the digital content according to the source location data to obtain location-enriched digital content;

configuring a generative artificial intelligence (AI) model according to the location-enriched digital content to obtain a location-aware, generative AI model configured to generate a solution according to the location-enriched digital content;

receiving a prompt configured to solicit a generative AI solution from the location-aware, generative AI model;

identifying a solution location according to the prompt;

determining a location-based rule according to the solution location; and

adapting the generative AI solution according to the location-based rule.

2 . The system of claim 1 , wherein the determining the source location data further comprises:

analyzing the digital content to obtain an analysis result; and

identifying a location according to the analysis result to obtain an identified source location; and

generating the source location data based on the identified source location.

3 . The system of claim 2 , wherein the analyzing the digital content further comprises:

identifying an explicit aspect of the digital content as an explicit location indicator, wherein the identified source location is according to the explicit location indicator.

4 . The system of claim 2 , wherein the analyzing the digital content further comprises:

identifying an implicit aspect of the digital content as an implicit location indicator, wherein the identified source location is according to the implicit location indicator.

5 . The system of claim 1 , wherein the enriching the digital content further comprises:

generating metadata based upon the source location data; and

associating the metadata with the digital content.

6 . The system of claim 1 , wherein the source location data comprises a plurality of locations, and wherein the enriching the digital content further comprises:

modifying the digital content based upon the source location data.

7 . The system of claim 6 , wherein the modifying the digital content further comprises:

generating a digital watermark based upon the source location data; and

configuring the digital content according to the digital watermark.

8 . The system of claim 1 , wherein the identifying the solution location further comprises identifying a geolocation of the prompt.

9 . The system of claim 1 , further comprising:

identifying ancillary information comprising at least one of a time, an owner, a source, a copyright, a trademark, an identity of an individual, or a privacy right, to obtain related data, wherein the enriching the digital content further comprising enriching the digital content according to the related data to obtain the location-enriched digital content.

10 . The system of claim 1 , wherein the adapting further comprises:

identifying a subset of the location-enriched digital content based on the solution location; and

re-configuring the generative AI model according to the subset of the location-enriched digital content to obtain a reconfigured generative AI model, wherein the generative AI solution is based on the reconfigured generative AI model.

11 . The system of claim 10 , wherein the re-configuring further comprises unlearning the subset of the location-enriched digital content.

12 . A method, comprising:

identifying, by a processing system including a processor, location data associated with digital content;

modifying, by the processing system, the digital content according to the location data to obtain modified digital content;

configuring, by the processing system, a generative artificial intelligence (AI) model according to the modified digital content to obtain a location-aware, generative AI model configured to generate a solution according to the modified digital content;

receiving, by the processing system, a prompt configured to solicit a generative AI solution from the location-aware, generative AI model;

identifying, by the processing system, a solution location according to the prompt;

determining, by the processing system, a location-based rule according to the solution location; and

adapting, by the processing system, the generative AI solution according to the location-based rule.

13 . The method of claim 12 , wherein the location-based rule comprises a jurisdictional rule according to a legal requirement.

14 . The method of claim 12 , wherein the adapting the generative AI solution further comprises:

identifying, by the processing system, a subset of the modified digital content based on the solution location; and

re-configuring, by the processing system, the generative AI model according to the subset of the modified digital content to obtain a reconfigured generative AI model, wherein the generative AI solution is based on the reconfigured generative AI model.

15 . The method of claim 12 , further comprising:

generating, by the processing system, metadata based upon the location data; and

associating, by the processing system, the metadata with the digital content to obtain the modified digital content.

16 . The method of claim 12 , wherein the identifying the location data associated with the digital content comprises:

identifying an explicit aspect of the digital content as an explicit location indicator or an implicit aspect of the digital content as an implicit location indicator, wherein the location data is identified according to the explicit location indicator or the implicit location indicator.

17 . The method of claim 14 , wherein the re-configuring further comprises unlearning the subset of the modified digital content.

18 . A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

identifying a location associated with digital content;

augmenting the digital content according to the location to obtain augmented digital content;

configuring a generative artificial intelligence (AI) model according to the augmented digital content to obtain a location-aware, generative AI model configured to generate a solution according to the augmented digital content;

receiving a prompt configured to solicit a generative AI solution from the location-aware, generative AI model;

identifying a solution location according to the prompt;

determining a location-based rule according to the solution location; and

adapting the generative AI solution according to the location-based rule.

19 . The non-transitory, machine-readable medium of claim 18 , wherein the adapting further comprises:

identifying, by the processing system, a subset of the augmented digital content based on the solution location; and

re-configuring, by the processing system, the generative AI model according to the subset of the augmented digital content to obtain a reconfigured generative AI model, wherein the generative AI solution is based on the reconfigured generative AI model.

20 . The non-transitory, machine-readable medium of claim 19 , wherein the re-configuring further comprises unlearning the subset of the augmented digital content.