Automated assistant for parliamentary query resolutions
Chatbots and user support
Bahrain - Shura Council
Use case ID: 064
Author: Bahrain Shura Council
Date: 7 October 2024
Objective:
To enhance the efficiency and improve the accuracy of query resolutions related to legislative matters, enabling parliament members and staff to access critical information quickly and make informed decisions.
Actors:
- Members of Shura Council
- Legislative Staff
- IT Department
- Potential Public Citizens
Prerequisites:
- Establish a secure internal network to host the AI system.
- Availability of structured data and documents in digital format.
- Access to up-to-date databases for all included information categories
- FAISS indexing of all data sources
- Secure server infrastructure to host the chatbot
- User authentication system
- Provision of comprehensive training for parliamentary staff on the effective use of AI tools.
- Implementation of security protocols to ensure the protection of sensitive legislative information.
Scenario:
- The user (a Shura council member or staff member) initiates a session by logging into the secure internal network.
- The user submits a query related to specific legislative texts or requests a summary of recent research documents, currently limited to the constitution and the legislative reference documents.
- The AI system processes the user's input using natural language processing algorithms, retrieving and presenting relevant answers and accurate summaries.
- The user interacts further with the results, possibly asking follow-up questions requesting detailed analyses of selected documents or comparing between more than one subject.
- If the system does not find the requested information, it suggests alternative queries or guides rephrasing, while saving the queries that haven’t been found in the database for future training.
- All user interactions and retrieved data are logged for transparency and performance evaluation.
Alternative flows:
- In cases where a complex query first arises, the AI system will directly escalate the log the text for further future analysis.
- If there is a failure in the AI system (e.g., unavailability or technical error), the user will receive an alert with instructions on seeking assistance from the UI.
Expected results:
- Significant time reduction in the retrieval and management of legislative documents.
- A qualitative leap in preparing working papers, research, comparative reports, and analysis
- Improved accuracy in responses to legislative inquiries.
- Increased accessibility for both parliament members and the ‘potential’ public to essential documents and information.
- The percentage of draft proposals for a new law or amendment to a previous law has increased.
Potential challenges:
- Risks related to the security of sensitive legislative data and potential unauthorized access.
- Resistance from staff or members accustomed to traditional methods of managing documentation.
- Ongoing maintenance and updates required for the AI system to ensure its efficacy and reliability.
- Availability of highly skilled data scientists and system engineers with the required tech stack.
- Ensuring accuracy and up-to-date information in the chatbot's responses
- Managing user expectations and handling complex queries
- Keeping the system updated with new information and legislative changes
Data requirements:
- Access to a comprehensive collection of legislative documents, legal texts, and research papers in a digital format, and in Json file formats. This makes it easy for the APIs to make the calls and collect the data and return it in the appropriate format to the user.
- User interaction data to continuously enhance the system's learning and response capabilities.
- Metadata to provide context for documents, including versions and historical changes.
Integrations with other systems:
- Integration with existing document management systems within the parliamentary framework (currently the constitution and the legislative reference documents and His Majesty the King's Speeches – Done
- Linking with other systems using advanced API techniques to exchange data – in progress
- Integration with Shura Council's existing systems
- Possible integration with internal communication platforms
- API connections to update data sources automatically when possible
Success metrics:
- Reduction in average time for document retrieval and query resolution.
- High levels of user satisfaction reflected in feedback from parliament members and staff.
- Quantifiable increases in the number of successfully answered inquiries by the AI system.
- Compliance with data security and privacy regulations, ensuring no breaches of sensitive information occur.
- Identifying the wrong answers given by users and correcting them in the system while pushing a new build in a very short time.