AI Behavior Control via Ethical Database Matching
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Solution Overview
Problem
Artificial intelligence systems lack effective mechanisms to control their behavior in complex or unexpected situations, leading to potential negative consequences due to inconsistent or unreasonable responses, and existing solutions either result in delays or risk unpredictable actions.
Innovation Solution
An AI apparatus with an ethical behavior control method that parses behavior control instructions, matches them against a pre-stored database, and controls actions based on a whitelist or blacklist, ensuring reasonable behavior by utilizing a local database and interacting with a server for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If AI systems are given autonomy to respond to complex situations, then response speed is improved, but behavior reliability deteriorates due to unpredictable actions
Solution Approach 1:
The patent pre-stores ethical behavior rules and control instructions in a database before the AI system encounters complex situations. When a situation arises, the system queries pre-defined rules rather than generating responses from scratch, ensuring both quick response and reliable ethical behavior alignment.
Solution Approach 2:
The patent implements a feedback mechanism where the AI system queries a server or database for ethical guidance before executing actions. The system receives feedback in the form of controlled behavior instructions and adjusts its responses accordingly, maintaining reliability while preserving responsiveness.
2Reliability
If AI systems use extensive database queries for behavior control, then behavior reliability is improved, but processing time increases
Solution Approach 1:
The patent pre-processes and stores ethical behavior rules, control instructions, and response templates in a database before actual use. This preliminary preparation allows the system to retrieve appropriate responses quickly without performing extensive real-time queries, thus maintaining reliability while reducing processing time.
Solution Approach 2:
The patent uses partial action by querying only the necessary portion of the database relevant to the current situation, rather than searching the entire database. This selective querying approach maintains reliable behavior control while minimizing processing time and computational resources.
3Reliability
If AI systems follow strict ethical control rules, then behavior reliability is improved, but adaptability to new situations deteriorates
Solution Approach 1:
The patent implements a dynamic ethical control system that can adapt to new situations. The database stores not only fixed rules but also allows for flexible query-based responses and learning mechanisms. When encountering new situations, the system can dynamically adjust its response based on pre-established ethical frameworks while maintaining reliability.
Solution Approach 2:
The patent enables the AI system to self-regulate by querying its own database for appropriate ethical guidance. The system serves itself by retrieving relevant control instructions and applying them autonomously, maintaining both reliability and adaptability without requiring external intervention for every decision.
Data Source
AI summary
An embodiment of the present invention relates to the technical field of computing and discloses an artificial intelligence apparatus, a behavior control method and a system. The method includes: acquiring a behavior control instruction; parsing the behavior control instruction to obtain a behavior feature set sequence to be executed by the artificial intelligence apparatus; parsing the behavior control instruction to obtain a behavior feature set sequence to be executed by the artificial intelligence apparatus; and matching the behavior feature set sequence to be executed with data pre-stored in an ethical behavior control database, and controlling a behavior of the artificial intelligence apparatus according to a matching result.