You have access to the training data that was used to train an AI-based system. You can review this information and use it as a guideline when…

AI-based systems can sometimes behave like black boxes, where the internal decision-making

process is unclear. Transparency refers to the ability to inspect and understand the training data,

algorithms, and decision-making process of the AI system.

Why is Option C Correct?

Transparency ensures that testers and stakeholders can review how an AI system was trained.

Access to training data is a key factor in transparency because it allows testers to analyze biases,

completeness, and representativeness of the dataset.

Transparency is an essential characteristic of explainable AI (XAI).

Having access to training data means that testers can investigate how data influences AI behavior.

Regulatory and ethical AI guidelines emphasize transparency.

Many AI ethics frameworks, such as GDPR and Trustworthy AI guidelines, recommend transparency

to ensure fair and explainable AI decision-making.

Why Other Options are Incorrect?

(A) Autonomy ❌

Autonomy refers to an AI system’s ability to make decisions independently without human

intervention. However, having access to training data does not relate to autonomy, which is more

about self-learning and decision-making without human control.

(B) Explorability ❌

Explorability refers to the ability to test AI systems interactively to understand their behavior, but it

does not directly relate to accessing training data.

(D) Accessibility ❌

Accessibility refers to the ease with which people can use the system, not the ability to inspect the

training data.

Reference from ISTQB Certified Tester AI Testing Study Guide

Transparency is the ease with which the training data and algorithm used to generate a model can be

understood.

"Transparency: This is considered to be the ease with which the algorithm and training data used to

generate the model can be determined."​

Thus, option C is the correct answer, as transparency involves access to training data, allowing testers

to understand AI decision-making processes.

Thank you for your visit.