Learn the essential facts that should be shared to maintain transparency when developing an AI recommendation system, according to IBM AI Fundamentals certification exam standards.
Table of Contents
Question
Sheldon is creating an AI recommendation system. Which of the following facts about the system should he share to ensure transparency?
Select the two that apply.
A. Who has access to the data
B. How decisions are made in the AI model
C. How the AI’s neural network is structured
D. What data is collected
Answer
A. Who has access to the data
D. What data is collected
Explanation
When an AI system is transparent, it shares information on what data it collected, how it uses and stores data, and who has access to the data.
To ensure transparency in his AI recommendation system, Sheldon should share the following two key facts:
A. Who has access to the data
Transparency requires being open about who can access and use the data that the AI system collects and relies on to make recommendations. This includes specifying if the data is accessible to employees within the organization, third-party partners, or other entities. Clearly communicating data access policies builds trust.
D. What data is collected
It’s crucial to disclose what specific data points and information the AI system gathers to power its recommendation engine. Users should be informed about the types of data being collected, such as demographics, browsing history, purchase history, etc. Sharing this allows users to understand what is being tracked and used.
While the structure of the AI’s neural network (C) and the details of how the AI model makes decisions (B) are important technical aspects, they are less critical to share from a transparency perspective compared to data access and collection policies. The inner workings of the AI can still remain proprietary as long as users are given clear information about the data practices.
In summary, to create transparency, Sheldon should prioritize sharing who has access to the data used by the AI recommendation system and what specific data is being collected. This openness allows users to make informed decisions about engaging with the AI-powered application.
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