Autonomous journalism with artificial intelligence and sensory data processing
AssigneeNewsGenie, Inc.
InventorJeffrey Don Crump
Life of this patent
Estimating the term…
Abstract
Methods, systems, and devices for autonomous journalism with artificial intelligence and sensory data processing are described. In some examples, a server may receive real-time sensory data from various sources related to a news event. The server may process this data to create a structured news report by utilizing natural language processing and machine learning algorithms, which contextualize and verify the factual content of the news event. An autonomous reporting agent may be dispatched to the event's location in response to the processed sensory data. The server may then generate a dynamic news update that incorporates the autonomous agent's reporting and the structured news report, providing real-time, adaptive news coverage.
Claims20
A method for dynamic adaptation of artificial intelligence (AI) generated news content, comprising:
- receiving, by a server, a set of information from a plurality of sources, the set of information being associated with a news event;
- evaluating, by the server, the set of information to identify a canonical set of verified factual content;
- generating, by the server, an initial structured news report based on the canonical set of verified factual content;
- transforming, by the server, the initial structured news report into dynamic news updates without altering the canonical set of verified factual content, wherein the transforming comprises applying natural language processing and machine learning algorithms to automatically rewrite the initial structured news report into the dynamic news updates, wherein different ones of the dynamic news updates differ with respect to one or more attribute values, the attribute values including a tone, a length, language, delivery format, and a narrative structure;
- distributing, by the server, a first dynamic news update to a first user device, the first dynamic news update having a first set of the attribute values;
- and
- distributing, by the server, a second dynamic news update to a second user device, the second dynamic news update having a second set of the attribute values.
A system configured for dynamic adaptation of artificial intelligence (AI) generated news content, comprising:
- a processor;
- memory coupled with the processor;
- and
- instructions stored in the memory and executable by the processor to cause the system to:
- receive a set of information from a plurality of sources, the set of information being associated with a news event;
- evaluate the set of information to identify a canonical set of verified factual content;
- generate an initial structured news report based on the canonical set of verified factual content;
- transform the initial structured news report into dynamic news updates without altering the canonical set of verified factual content, wherein the transforming comprises applying natural language processing and machine learning algorithms to automatically rewrite the initial structured news report into the dynamic news updates, wherein different ones of the dynamic news updates differ with respect to one or more attribute values, the attribute values including a tone, a length, language, delivery format, and a narrative structure;
- distribute a first dynamic news update to a first user device, the first dynamic news update having a first set of the attribute values;
- and
- distribute a second dynamic news update to a second user device, the second dynamic news update having a second set of the attribute values.
Dependencies are inferred from the claim text.