BACKGROUND
[0001]
Content provided by artificial intelligence sources is becoming more prevalent. From reports generated by financial information to news created from current events, content generated by an artificial intelligent source is increasingly being relied on by various businesses to provide content.
[0002]
It is with respect to these and other considerations that the disclosure made herein is presented.
SUMMARY
[0003]
Technologies are described herein for identifying artificial intelligence content. Generally described, an artificial intelligence (“AI”) content identification system receives content from one or more content providers. Content can be information such as text from web pages, video, documents, speech or aural input, and the like. The AI content identification system analyzes at least a portion of the content received from the one or more content providers to determine if the portion of the content is content generated by an artificial intelligence source.
[0004]
If the portion analyzed is determined to have been generated by an artificial intelligence source, the content as displayed on a content viewer application is modified to indicate the determination that the portion analyzed was generated by an artificial intelligence source. If determined to be content generated from an artificial intelligence source, the source of the content can be added to an artificial intelligence source list.
[0005]
In some examples, the content identification system can be trained to detect misidentified or misconstrued content. For example, the content identification system can retrieve multiple instances of content provided by a content provider (such as a news reporter or individual), analyze the content to determine patterns, and then apply those patterns to other content identified as being from the content provider. If the patterns do not match or are substantially similar, the content identification system can provide an output that identifies the content as possibly being from a different content provider than the content provider listed.
[0006]
In further examples, the content identification system can receive content from a content provider, scrub the content to determine one or more facts, then use those facts to search for content from other content providers that have provided content that matches or is substantially similar to the facts of the original content. If the facts are not matched or are substantially similar, the content identification system can provide an output that identifies the content as possibly being false or incorrect.
[0007]
As used herein, “artificial intelligence” content is content constructed, written, or otherwise created by an artificial intelligence source. “Artificial intelligence” is broadly defined to be a computing source configured to operate fully or partially autonomously to generate content. It should be appreciated that the above-described subject matter can be implemented as a computer-controlled apparatus, a computer process, a computing system, or as an article of manufacture such as a computer-readable storage medium. These and various other features will be apparent from a reading of the following Detailed Description and a review of the associated drawings.
[0008]
This Summary is provided to introduce a selection of technologies in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended that this Summary be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implementations that solve any or all disadvantages noted in any part of this disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0009]
FIG. 1 is a system diagram illustrating an artificial intelligence content identification system.
[0010]
FIGS. 2A-2C are screen diagrams showing an illustrative graphical user interface that is configured with graphical elements for identifying artificial intelligence content.
[0011]
FIGS. 3A-3C are screen diagrams showing an illustrative graphical user interface displaying search results modified to indicate the presence of content generated by an artificial intelligence source in the search results.
[0012]
FIG. 4 is a flow diagram showing a routine illustrating aspects of a mechanism disclosed herein for identifying artificial intelligence content
[0013]
FIG. 5 is a computer architecture diagram illustrating an illustrative computer hardware and software architecture for a computing system capable of implementing the technologies presented herein.
DETAILED DESCRIPTION
[0014]
The following detailed description is directed to technologies for analyzing content, including identifying artificial intelligence content. Content providers, such as news agencies or news aggregators, are increasingly reliant on content provided by artificial intelligence sources. The artificial intelligence sources can be more cost effective and timely than human sources. However, the use of artificial intelligence can create issues. For example, readers of content may believe that the content was written by a human, not knowing that the content was generated by an artificial intelligence source. In another example, the content may be identified as coming from a human source, but may have been generated in part (or in whole) by an artificial intelligence source.
[0015]
The presently disclosed subject matter provides technologies that, among other uses, identify content as being provided by an artificial intelligence source. In several instances, it may be valuable for decision making to determine the source of content. For example, prior to artificial intelligence journalism, inherent bias and possibly misinformation can be determined by identifying the creator of the content. Thus, identifying content created by an artificial intelligence source, or identifying the source of content can allow better decision making capabilities in some instances.
[0016]
While the subject matter described herein is presented in the general context of program modules that execute in conjunction with the execution of an operating system and application programs on a computer system, those skilled in the art will recognize that other implementations can be performed in combination with other types of program modules. Generally, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the subject matter described herein can be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers, and the like.
[0017]
In the following detailed de…
