How can you collaborate with AI developers for better information architecture?

1 Understand the AI goals and capabilities

Before designing an IA for an AI project, it's important to understand the AI developers' goals and the system's capabilities. Ask questions such as what problem or opportunity the AI is addressing, what its inputs and outputs are, how it learns and processes information, and its limitations and uncertainties. You should also consider how the AI system will be evaluated and improved. By understanding the AI goals and capabilities, you can create an IA that is aligned with the AI logic and functionality, and avoid incompatible expectations.

3 Design the IA for clarity and transparency

Designing the IA for an AI project can be challenging, but it is essential to ensure clarity and transparency of the information and the AI system. To achieve this, consider using IA principles and techniques such as organizing information according to its importance, relevance, and relationship; providing clear and concise labels for the information and AI system elements; creating easy and intuitive ways for users to access and explore the information and features; displaying the information and AI system outputs with visual elements like icons, graphs, charts, and maps; and providing meaningful feedback to users about the information and AI system actions. By designing the IA for clarity and transparency, users can understand and trust the information provided by the AI system.

4 Test and iterate the IA with the AI developers

The final step in collaborating with AI developers is to test and iterate the IA with the AI system. You need to evaluate how well the IA works with the AI system and how users interact with it. Usability testing, heuristic evaluation, and A/B testing are methods you can use to collect data and feedback about the IA and AI system. These tests should assess accuracy, reliability, relevance, ease of use, efficiency, satisfaction, confidence, comfortability, and satisfaction of users. Additionally, you can use these tests to identify areas of improvement for the IA and AI system in order to meet user needs and expectations. By testing and iterating the IA with the AI developers, you can refine and optimize the performance and quality of both.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?