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US 12,761,915 B2Granted
Auditable authorship attribution with automatically applied authorship tokens
AssigneeU.S. Bank National Association
InventorsChristopher Ziolkowski, Valerie Lancelle, Christopher Davis
Life of this patent
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Abstract
A text editor or a plugin thereto automatically generates authorship tokens to identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.
Claims20
A method comprising:
- detecting an actuation of a first user interface element of text editing software or a plugin thereto, wherein actuation of the first user interface element includes detecting selection of a function from a menu depicted in a user interface of the text editing software or plugin;
- and
- in response to detecting the actuation, exporting text to an export file in a manner that preserves authorship tokens associated with regions of the text, wherein the authorship tokens include:
- at least one human authorship token indicating that a first associated region of the text has human authorship rather than artificial authorship based on a human user typing a manual edit at a cursor location within the first associated region of the text based, at least in part, on a speed of the text editor receiving characters comprising the manual edit, a number of characters of the manual edit entered at a time at the cursor location, an input device used to provide the manual edit being a keyboard human interface device, or a sequence of entry of characters comprising the manual edit containing a single character entered at a time;
- at least one external authorship token indicating that a second associated region of the text is based on externally sourced text imported as a result of an operation selected from among the group consisting of:
- a paste operation, a drag-and-drop operation, and selection of an import operation from a menu of the text editor;
- at least one authorship token indicating that a third associated region of the text is based on text typed at a second cursor location in a fashion dissimilar to human typing;
- at least one mixed authorship token indicating that a fourth associated region of the text is associated with mixed human and artificial authorship;
- and
- at least one artificial authorship token indicating that a fifth associated region of the text is associated with artificial authorship.
7 more elements
A non-transitory computer readable medium having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform a method comprising:
- providing a first user interface element actuatable to cause activation of an authorship tracking feature of text editing software;
- responsive to detecting actuation of the first user interface element and automatically during an edit session where text is being edited using with the text editing software:
- monitoring edits to the text, determining authorship of the edits, and associating authorship tokens with associated regions;
- providing a second user interface element;
- and
- responsive to detecting the actuation of the first user interface element of text editing software or a plugin thereto, wherein actuation of the first user interface element includes detecting selection of a function from a menu depicted in a user interface of the text editing software or plugin and
- in response to detecting the actuation, exporting text to an export file in a manner that preserves authorship tokens associated with regions of the text, wherein the authorship tokens include three or more types of authorship tokens selected from the group consisting of:
- human authorship tokens indicating that a first associated region of the text has human authorship rather than artificial authorship based on a human user typing a manual edit at a cursor location within the first associated region of the text based, at least in part, on a speed of the text editing software receiving characters comprising the manual edit, a number of characters of the manual edit entered at a time at the cursor location, an input device used to provide the manual edit being a keyboard human interface device, or a sequence of entry of characters comprising the manual edit containing a single character entered at a time;
- external authorship tokens indicating that a second associated region of the text is based on externally sourced text imported as a result of an operation selected from among the group consisting of:
- a paste operation, a drag-and-drop operation, and a selection of an import operation from a menu of the text editor;
- dissimilar authorship tokens indicating that a third associated region of the text is based on text typed at a second cursor location in a fashion dissimilar to human typing;
- unknown provenance authorship tokens indicting that a fourth associated region of the text has unknown provenance;
- mixed authorship tokens indicating that a fifth associated region of the text is associated with mixed human and artificial authorship;
- and
- artificial authorship tokens indicating that a sixth associated region of the text is associated with artificial authorship and indicating an identity of an artificial intelligence used.
12 more elements
A system comprising:
- a processor;
- a memory operatively connected to the processor and comprising a non-transitory computer-readable medium storing instructions which, when executed by the processor, cause the system to perform:
- actuating a first user interface element of text editing software or a plugin thereto, wherein actuation of the first user interface element includes detecting selection of a function from a menu depicted in a user interface of the text editing software or plugin, thereby causing the text editing software or the plugin thereto to export text to an export file in a manner that preserves authorship tokens associated with regions of the text, wherein the authorship tokens include:
- at least one human authorship token indicating that a first associated region of the text has human authorship rather than artificial authorship based on a human user typing a manual edit at a cursor location within the first associated region of the text based, at lest in part, on a speed of the text editor receiving characters comprising the manual edit, a number of characters of the manual edit entered at a time at the cursor location, an input device used to provide the manual edit being a keyboard human interface device, or a sequence of entry of characters comprising the manual edit containing a single character entered at a time;
- at least one external authorship token indicating that a second associated region of the text is based on externally sourced text imported as a result of an operation selected from among the group consisting of:
- a paste operation, a drag-and-drop operation, and selection of an import operation from a menu of the text editor;
- at least one authorship token indicating that a third associated region of the text is based on text typed at a second cursor location in a fashion dissimilar to human typing;
- at least one mixed authorship token indicating that a fourth associated region of the text is associated with mixed human and artificial authorship;
- and
- at least one artificial authorship token indicating that a fifth associated region of the text is associated with artificial authorship and indicating an identity of an artificial intelligence used.
7 more elements
Dependencies are inferred from the claim text.