Microsoft technology licensing, llc (20240303247). SYSTEMS AND METHODS FOR WRITING FEEDBACK USING AN ARTIFICIAL INTELLIGENCE ENGINE simplified abstract

SYSTEMS AND METHODS FOR WRITING FEEDBACK USING AN ARTIFICIAL INTELLIGENCE ENGINE

Organization Name

microsoft technology licensing, llc

Inventor(s)

Aleksey Aleksandrovich Sokolov of Snoqualmie WA (US)

Utkarsh Garg of Bellevue WA (US)

Siqing Chen of Bellevue WA (US)

Warren Anthony Aldred of Redmond WA (US)

Saket Kumar of Buckley WA (US)

Cheng Yang of Chengdu (CN)

Bhavuk Jain of Redmond WA (US)

Mahaveer Bhavarlal Kothari of Redmond WA (US)

Alyssa Rachel Mayo of New Rochelle NY (US)

Tashfeen Ahmed of Dublin (IE)

Zhang Li of Seattle WA (US)

Olivier Michel Nicolas Gauthier of Duvall WA (US)

Christine Lauren Mayer of Seattle WA (US)

Jesse Alexander Freitas of Seattle WA (US)

SYSTEMS AND METHODS FOR WRITING FEEDBACK USING AN ARTIFICIAL INTELLIGENCE ENGINE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303247 titled 'SYSTEMS AND METHODS FOR WRITING FEEDBACK USING AN ARTIFICIAL INTELLIGENCE ENGINE

• • Simplified Explanation:**

The patent application describes a data processing system with a processor, memory, and network interface for communicating with an AI engine. The system includes an application for generating written content and receiving feedback on its quality from the AI engine.

• • Key Features and Innovation:**

- Data processing system with AI integration for assessing written content quality - Structured query prompts feedback in various categories for content improvement - User interface displays feedback and allows users to implement revisions

• • Potential Applications:**

- Content creation and editing tools - Writing assistance software - Quality assessment tools for written content

• • Problems Solved:**

- Lack of efficient feedback mechanisms for improving written content - Difficulty in assessing the quality of written content objectively

• • Benefits:**

- Enhanced content quality through AI-driven feedback - Streamlined content revision process - Improved user experience for content creators

• • Commercial Applications:**

Title: AI-Powered Content Quality Assessment Tool This technology can be used in content creation platforms, online writing tools, and digital marketing agencies to enhance the quality of written content and improve user engagement. The market implications include increased efficiency in content production and higher customer satisfaction.

• • Prior Art:**

Researchers can explore existing literature on AI-driven content assessment tools, natural language processing algorithms, and user feedback systems to understand the background of this technology.

• • Frequently Updated Research:**

Stay updated on advancements in AI algorithms for natural language processing, user feedback mechanisms, and content quality assessment tools to leverage the latest innovations in this field.

• • Questions about AI-Powered Content Quality Assessment Tool:**

1. How does the AI engine assess the quality of written content? 2. What are the different categories in which feedback is provided for content improvement?

Original Abstract Submitted

a data processing system includes: a processor; a memory containing programming instructions for execution by the processor; and a network interface for communicating with an artificial intelligence (ai) engine. the programming instructions include an application for generating written content, the application having a function to generate and submit a structured query regarding the written content to the ai engine to generate feedback on an assessed quality of the written content, the structured query structured to prompt for feedback in a variety of specified categories for the written content. the application further includes a user interface to display the feedback on the written content and provide an option to a user to implement the feedback to revise the written content.