Best Practices and Guidelines for ChatGPT and Similar AI Models

Best Practices and Guidelines for ChatGPT and Similar AI Models

1. The AI system should analyze maintenance requests based on multiple factors including safety implications, operational impact, affected departments, and resource requirements. 2. The systems must maintain transparency in its prioritization logic, allowing me to understand the reasoning behind each recommendation. 3. I should retain final decision-making authority, with the AI serving in an advisory capacity only. 4. The AI should integrate with our existing maintenance request system without compromising data security or privacy. 5. The system should be capable of adapting its recommendations based on feedback and changing organizational priorities. 6. Regular audits should be conducted to ensure the AI’s recommendations align with organizational policies and maintenance best practices. recommendations for prioritization. This will enable me to respond more effectively to critical issues, optimize resource allocation and improve facility management while maintaining transparency in the decision-making process. Acceptance Criteria Scenario I receive a large batch of applications for a position and need to identify qualified candidates efficiently. I upload the job description and anonymized resumes to the AI system, specifying the key skills, qualifications, and experience required for the role. The AI analyzes the applications and presents me with a structured overview highlighting candidates whose qualifications align with the job requirements. For each candidate, the AI provides a summary or relevant skills and experience matches, without making final judgments about suitability. I review the AI’s analysis, examining both highly-ranked and borderline candidates to ensure no qualified applications are overlooked. I notice the patterns that might have been missed i n a manual review, such as transferable skills from adjacent industries. Throughout this process, I maintain awareness of the AI’s limitations and potential blind spots. I periodically check candidates that weren’t highlighted by the AI to verify the system isn’t overlooking certain backgrounds or non-traditional career paths. By utilizing AI in this responsible manner, I improve the efficiency and consistency of our initial screening process while ensuring human oversight, fairness, and compliance with the city's commitment to inclusive hiring practices. User Story : Prioritize M aintenance R equests As a facilities manager , I am responsible for handling numerous maintenance requests across multiple buildings and departments. I often struggle with efficiently prioritizing these requests based on urgency, impact, and resource availability. I want to leverage AI technology to help analyze and categorize incoming maintenance requests, providing data-driven