INSIGHT CREATION TRANSPARENCY

Organization Name

Inventor(s)

Robert Anthony Lincourt, Jr. of Franklin MA (US)

Stephen James Todd of North Andover MA (US)

INSIGHT CREATION TRANSPARENCY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256559 titled 'INSIGHT CREATION TRANSPARENCY

Simplified Explanation: The patent application discusses a method and system for creating transparent insights using explainable artificial intelligence. This technology allows users to better understand the results generated by machine learning models by providing transparency on the processes involved in deriving insights from data.

**Key Features and Innovation:**

   - Utilizes a vast database of metadata for structured and unstructured data to derive insights.
   - Provides transparency information on the inputs, techniques, and algorithms used to generate insights.
   - Enhances user trust in machine learning models by improving comprehension of the results.

**Potential Applications:**

   - Data analysis in various industries such as finance, healthcare, and marketing.
   - Decision-making support systems for businesses.
   - Predictive analytics for trend forecasting.

**Problems Solved:**

   - Lack of transparency in machine learning models.
   - Difficulty in understanding the mechanisms behind AI-generated insights.
   - Limited user trust in AI systems.

**Benefits:**

   - Increased user trust in AI technologies.
   - Improved decision-making based on transparent insights.
   - Enhanced understanding of AI processes.

**Commercial Applications:**

   - "Transparent Insight Creation System for Enhanced Decision-Making in Business Analytics"

**Prior Art:**

   - Further research can be conducted in the field of explainable artificial intelligence and transparency in machine learning models.

**Frequently Updated Research:**

   - Stay updated on advancements in explainable AI and transparency in data analytics.

Questions about Transparent Insight Creation: 1. How does the system ensure transparency in the generation of insights? 2. What are the potential implications of this technology in data-driven industries?

By following the principles of explainable artificial intelligence, this system aims to provide users with a clear understanding of how insights are derived from data, ultimately leading to more informed decision-making processes across various industries.

Original Abstract Submitted

a method and system for insight creation transparency. explainable artificial intelligence, in recent years, has become synonymous with a framework through which users, relying on machine learning models for various applications, may come to trust the result(s) outputted by said models through better comprehension of the mechanisms leading to said result(s). leveraging a vast database of metadata for a plethora of unstructured and structured data/information, embodiments disclosed herein derive, or infer, insights therefrom that best address any user-submitted queries. embodiments disclosed herein, further, provide transparency information detailing, for example, which input(s) and which technique(s) and/or algorithm(s) were employed to arrive at the derived/inferred insights.