Skip to Content

IBM AI Fundamentals: How Can a Company Increase Transparency in AI Application?

A company aims to increase transparency in an AI application. Which action best supports this goal? Get the expert answer required for the IBM Artificial Intelligence Fundamentals certification exam, with a thorough explanation focused on data transparency and AI system practices.

Table of Contents

Question

A company aims to increase transparency in an AI application. Which action help support this goal?

A. List the models being used.
B. Describe what data is collected.
C. Commenting the code for algorithms applied during data preparation.
D. Explain the business process supported by the AI system.

Answer

B. Describe what data is collected.

Explanation

Transparency in AI involves making the system’s operations understandable for users and stakeholders, with a strong emphasis on how and why decisions are made.

Describing what data is collected addresses a key aspect of transparency by clearly informing users about the types, sources, and purposes of data used in the AI system. This enables users to understand and scrutinize potential biases, privacy issues, and data governance practices—crucial elements for fostering trust in AI solutions.

Listing models (A), commenting code (C), or explaining supported business processes (D) are valuable practices but do not directly address the fundamental transparency concern of data collection and its implications for responsible AI deployment.

IBM’s own responsible AI guidelines highlight that clarity on data usage is integral to transparent, ethical AI development and deployment.

Understanding and communicating about data collection is essential for meeting transparency standards in AI applications, as prioritized by IBM’s Artificial Intelligence Fundamentals certification.

IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.