Customizable User Communications with Scripted Dialog Guardrails
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Solution Overview
Problem
Current technologies using generative AI models (GMs) face challenges in combining flexibility with reliability, often leading to hallucinations or misinformation, particularly in sensitive fields like healthcare, and lack effective mechanisms to control conversation flow.
Innovation Solution
A hybrid system integrating scripted dialog instructions with GMs to guide interactions, incorporating a risk management mechanism, user state monitoring, and a feedback loop to ensure safe and context-aware responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generative AI models are used to provide flexible and adaptive user interactions, then adaptability and ease of operation are improved, but reliability and accuracy deteriorate due to hallucinations and misinformation
Solution Approach 1:
A scripted dialog layer is introduced as an intermediary between the user and the generative AI model. This script acts as a mediator that guides the GM's responses, ensuring they remain within predefined boundaries while still allowing for natural language interaction. The script constrains the GM to follow specific dialogue flows and information hierarchies, preventing hallucinations while maintaining adaptability.
Solution Approach 2:
The dialogue system is segmented into multiple layers: a structured script layer that defines the dialogue flow and information hierarchy, and a generative AI layer that provides natural language generation within those constraints. This segmentation allows each layer to specialize - the script ensures reliability while the GM provides adaptability.
2Ease of operation
If generative AI models are used to enable natural language conversations, then ease of operation is improved, but control over conversation flow deteriorates
Solution Approach 1:
The script serves as an intermediary control mechanism that manages conversation flow without requiring complex manual intervention. It automatically guides the GM through predefined dialogue paths, maintaining control while keeping the system easy to operate through natural language interfaces.
Solution Approach 2:
Dialogue paths, information hierarchies, and response boundaries are predetermined in the script before user interaction begins. This preliminary structuring allows the system to maintain control over conversation flow while still enabling natural language exchanges, as the GM operates within pre-established parameters.
3Adaptability or versatility
If generative AI models operate with high flexibility, then adaptability is improved, but risk of harmful outputs increases
Solution Approach 1:
The script implements preliminary anti-action by pre-defining boundaries and constraints that prevent harmful outputs before they can occur. It establishes information hierarchies and dialogue paths that inherently block misinformation and hallucinations, countering potential harmful effects before they manifest.
Solution Approach 2:
The scripted dialog layer acts as a protective intermediary that filters and constrains the GM's outputs. It ensures that while the GM maintains flexibility in natural language generation, all responses adhere to predefined safety and accuracy standards, preventing harmful misinformation.
Data Source
AI summary
Disclosed herein is a method for facilitating customizable communications with users. The method may include receiving at least one input associated with at least one user from at least one user device associated with the at least one user, analyzing the at least one input, identifying at least one instruction from a plurality of instructions based on the analyzing of the at least one input, and obtaining at least one output using at least one language model based on the at least one input and the at least one instruction. Further, the method may include transmitting the at least one output to the at least one user device. Further, the method may include storing the at least one input and the at least one output.