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IBM AI Fundamentals: Trustworthy AI Systems

Discover the key characteristics that make an AI system trustworthy: transparency, governability, traceability, and flexibility. Learn how these factors contribute to building reliable and ethical AI solutions.

Table of Contents

Question

Complete the sentence. In order to be trustworthy, an AI system must be _______________ .

A. transparent
B. governable
C. traceable
D. flexible

Answer

A. transparent

Explanation

To be trustworthy, an AI system must possess all four characteristics mentioned in the options: transparency, governability, traceability, and flexibility.

A. Transparency: An AI system should be transparent, meaning its decision-making processes and the data it uses should be clear and understandable to users and stakeholders. Transparency helps build trust by allowing people to understand how the AI arrives at its conclusions and ensures that the system is not making biased or unfair decisions.

B. Governability: A trustworthy AI system must be governable, which means it should be designed and deployed in a way that allows for human oversight and control. This includes having clear policies and procedures in place for monitoring the AI’s performance, setting boundaries for its actions, and intervening when necessary to prevent unintended consequences.

C. Traceability: Traceability refers to the ability to track and audit an AI system’s decisions and actions. This is crucial for accountability and for identifying and correcting any errors or biases in the system. A traceable AI system maintains detailed logs of its operations, allowing developers and users to understand how it arrived at specific outputs and to make necessary adjustments.

D. Flexibility: A trustworthy AI system should be flexible enough to adapt to changing circumstances and to incorporate new information and feedback. This flexibility allows the system to improve over time and to respond appropriately to novel situations. It also enables the AI to be customized and fine-tuned for specific use cases and user needs.

In summary, for an AI system to be considered trustworthy, it must exhibit transparency in its decision-making, be governable by human oversight, maintain traceability for accountability, and demonstrate flexibility to adapt and improve. These characteristics work together to create AI solutions that are reliable, ethical, and aligned with human values.

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