AI Operation Process Search Device Risk Evaluation
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Solution Overview
Problem
The introduction of AI into operation processes can lead to psychological, economic, or physical disadvantages for organizations or individuals due to potential inference errors, making it essential to evaluate and mitigate these risks while ensuring the operation process aligns with its original purpose.
Innovation Solution
An operation process search device that includes an input unit, a risk evaluation unit, and a display unit, which receives operation process candidate data, calculates risk scores based on inference correctness and influence evaluations, and displays these scores to users, allowing them to select processes that minimize AI-related risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI is introduced to improve operation process performance, then productivity is improved, but reliability deteriorates due to potential inference errors causing psychological, economic, or physical disadvantages
Solution Approach 1:
The patent introduces a risk evaluation unit as an intermediary between the AI inference system and the operation process decision-making. This unit calculates risk scores based on occurrence probability and disadvantage scores, acting as a mediator that assesses AI inference reliability before decisions are executed, thus resolving the contradiction between productivity improvement and reliability maintenance
Solution Approach 2:
The system implements feedback mechanisms where AI inference results are evaluated against registered influence evaluation tables and transition probability tables. The risk evaluation unit provides feedback on inference correctness by calculating risk scores, allowing the system to adjust and improve reliability while maintaining productivity benefits
2Ease of operation
If AI-based inference is used to automate decision-making, then ease of operation is improved, but object-generated harmful factors increase due to potential incorrect inferences causing psychological, economic, or physical disadvantages
Solution Approach 1:
The patent applies preliminary anti-action by registering influence evaluation tables that define potential harmful consequences of AI inference errors before they occur. The risk evaluation unit uses these pre-defined disadvantage scores to calculate risk scores, enabling the system to take preventive measures against potential harmful factors while maintaining automation benefits
Solution Approach 2:
The risk evaluation unit serves as an intermediary that assesses potential harmful factors generated by AI-based automated decision-making. By calculating risk scores based on occurrence probability and disadvantage scores, it mediates between automation efficiency and harm prevention, allowing the system to maintain ease of operation while minimizing object-generated harmful factors
Data Source
AI summary
An operation process using AI can be configured after evaluating a risk of inference incorrectness occurring in the AI. A risk evaluation unit 20 calculates, for each route leading to a conclusion that is to be taken by an operation process candidate, a risk score based on an occurrence probability of the route and a disadvantage score calculated based on a negative influence evaluation value of influence generated in the route, and calculates, as a risk score of the operation process candidate, a sum of the risk scores calculated for a plurality of the routes that is to be taken by the operation process candidate. A display unit 12 displays, to a user, step flows of a plurality of the operation process candidates and the risk scores of the operation process candidates calculated by the risk evaluation unit.