Describe the AI system
Sign in to save your workDescribe the system in plain language before judging it. Use only what the case tells you and mark anything else as unknown.
PolicyAI at Meridian Logistics Group
- Provider
- LexaCloud Ltd (fictional) provides the language model through an API
- Integrator
- Meridian IT built the retrieval layer and the chat interface
- Deployer and owner
- Meridian People Directorate
- Knowledge source
- HR SharePoint library, re-indexed nightly
- Output
- A generated answer with up to three cited documents
- Human role
- None before the answer is shown; staff can rate answers
- Users
- 11,000 employees, including warehouse staff on shared devices
AI system description
This becomes the first section of your report.
Name the system
What problem is the organisation trying to solve, and how will it know the system helps?
Provider, deployer, users, affected people, suppliers, system owner, risk owner and control owners
Prediction, classification, recommendation, generation, retrieval or action; classic or generative AI
List what the evidence confirms, what you are assuming and what you do not know
Which decision does the output influence, and what does a person still decide?
Where, for whom and for what the system may and may not be used
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