Dialogue Agent Interface for Secure Social Media Editing
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Solution Overview
Problem
Users of social media networks often fail to utilize advanced video editing features due to complex user interfaces and lack of understanding, and natural language queries to language models can produce undesired or malicious outputs, leading to unauthorized actions.
Innovation Solution
A computing system with a dialogue-assisted interface that uses a language model to interpret natural language editing requests, generates prompts, and executes authorized editing operations through a backend service, while filtering and whitelisting commands to ensure secure and effective editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a complex user interface with various controls is provided for video editing, then the video editing capabilities are comprehensive, but the ease of operation deteriorates and many features remain undiscovered or underutilized
Solution Approach 1:
The patent introduces a dialogue agent as an intermediary between the user and the complex video editing system. The dialogue agent translates natural language user intents into structured editing operations, mediating between the simple user input and the complex backend editing capabilities. This resolves the contradiction by maintaining comprehensive editing functionality while simplifying user interaction through natural language processing.
Solution Approach 2:
The patent replaces the traditional mechanical interaction model (clicking UI controls, navigating menus) with a language-based interaction model. Instead of requiring users to manually操作 complex interface elements, the system uses natural language processing to interpret user intents and automatically generate editing operations, substituting the mechanical UI interaction with intelligent language understanding.
2Ease of operation
If natural language queries are input directly to a language model, then the ease of operation is improved, but reliability deteriorates due to malicious inputs causing undesired or unauthorized actions
Solution Approach 1:
The patent implements preliminary validation and filtering of user inputs before they are processed by the language model. The system pre-processes natural language queries to identify and block malicious patterns, validate intent against authorized operations, and ensure input safety. This preliminary action maintains the ease of natural language interaction while preventing reliability issues from malicious inputs.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system monitors language model outputs, validates them against authorized editing operations, and provides corrective feedback when malicious or unauthorized intents are detected. This feedback loop ensures that even if malicious inputs slip through initial filtering, the system can detect and block harmful actions, maintaining reliability while preserving natural language interaction benefits.
Data Source
AI summary
Examples are provided relating to implementing actions on social media network content based on natural language inputs. One aspect includes a computing system configured to implement a social media network, comprising one or more processors, and a storage device comprising instructions executable to receive a user input including a natural language description of a request for an action on a content item from a dialogue agent configured to engage in dialogue using at least a language model, and generate a prompt for the language model based at least on the user input. The instructions are further executable to input the prompt to the language model to generate output describing operations for implementing the action, call a backend service of the social media network to execute commands to implement the operations, and output a result of executing the commands.