Invention Grant
- Patent Title: Model-based attribution for content generated by an artificial intelligence (AI)
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Application No.: US18384899Application Date: 2023-10-30
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Publication No.: US12013891B2Publication Date: 2024-06-18
- Inventor: Tamay Aykut , Christopher Benjamin Kuhn
- Applicant: Sureel Inc.
- Applicant Address: US CA Pacifica
- Assignee: Sureel Inc.
- Current Assignee: Sureel Inc.
- Current Assignee Address: US CA Pacifica
- Agency: Flagship Patents
- Agent Shiv S. Naimpally; Sikander M. Khan
- Main IPC: G06F16/45
- IPC: G06F16/45 ; G06F16/438

Abstract:
In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.
Public/Granted literature
- US20240152544A1 MODEL-BASED ATTRIBUTION FOR CONTENT GENERATED BY AN ARTIFICIAL INTELLIGENCE (AI) Public/Granted day:2024-05-09
Information query