Computer-Based Decisioning Tool for Bias Assessment and Confidence Index Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current computer-based systems lack a comprehensive tool for evaluating individual or organizational members for hidden or unconscious biases across multiple areas and generating numeric scores for comparison against societal standards, while decision-making tools fail to incorporate dynamic changes and user interaction effectively.
Innovation Solution
A computer-based decisioning tool that integrates bias assessment and decision-making, using Profiles, Objects, and Dimensions to generate numeric scores for bias levels and confidence indices, allowing for interactive questioning and dynamic decision processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general bias training seminars and workshops are conducted to address bias awareness, then individuals and groups become aware of bias existence on a macro level, but the approach does not directly address hidden or unconscious bias in each individual person and requires significant time and resources for implementation
Solution Approach 1:
The patent replaces traditional mechanical training methods (seminars, workshops, case studies) with a computer-based automated testing system that uses algorithms to assess bias. This substitution enables precise measurement of individual unconscious bias through interactive computer-based assessments rather than time-consuming group training sessions.
Solution Approach 2:
The system enables individuals to self-assess their own bias levels through computer-based testing without requiring external trainers or facilitators. The automated platform allows persons to complete bias assessments independently, receiving immediate results and feedback, thereby eliminating the need for organized training events.
2Measurement precision
If Harvard Implicit Association Test is used to measure unconscious bias, then implicit attitudes are detected, but the system lacks interactive elements and provides limited activity beyond data collection
Solution Approach 1:
The patent transforms static bias assessment into a dynamic, interactive process where the system adapts to user responses in real-time. The computer-based platform adjusts questioning based on user inputs, allowing for ongoing interaction rather than a fixed, one-way data collection process. This enables the system to engage users actively while maintaining measurement precision.
Solution Approach 2:
The system incorporates feedback mechanisms where users receive immediate results and guidance based on their bias assessment responses. This feedback loop allows users to understand their bias levels and engage with the system iteratively, enhancing adaptability while maintaining the core measurement functionality of detecting implicit attitudes.
3Reliability
If decision-making tools rely on static information and traditional processes, then decisions are made based on available data, but the tools fail to incorporate dynamic changes and user interaction effectively
Solution Approach 1:
The patent integrates dynamic questioning and assessment processes into decision-making tools, allowing the system to adapt to changing user inputs and contextual information in real-time. This enables reliable decision support while maintaining the flexibility to respond to dynamic changes, combining data-driven reliability with adaptive versatility.
4Measurement precision
If separate tools are used for bias assessment and decision-making, then each function can be optimized independently, but the system lacks integration and requires multiple distinct systems
Solution Approach 1:
The patent combines bias assessment and decision-making functionalities into a single integrated computer-based system. This merging allows the system to simultaneously evaluate unconscious bias and support decision-making processes, reducing the need for multiple separate tools while maintaining measurement precision through unified algorithms and data processing.
Solution Approach 2:
The computer-based platform is designed with multi-functionality, serving both as a bias assessment tool and a decision-making support system. This universal approach allows a single system to perform multiple functions that were previously requiring separate tools, simplifying the overall system architecture while preserving the accuracy of bias measurement.
Data Source
AI summary
A computer-based decisioning tool is disclosed that enables the generation of Bias Assessment Scores to indicate a level of hidden or unconscious bias an individual being tested may have and enables the generation of Confidence Index Scores the indicate the best choices for making three types of decisions, which are searching/match decisions, comparison decisions, and binary (Yes/No) decisions.