Specialist AI Testing Ct AI · Free Practice Question Hard

Question 15

10.1 A company is testing an AI-based autonomous drone designed to operate in hazardous environments. The drone must respond to changes without human intervention and recognize situations where it should cede control to a human operator.

Which of the following test environment setups best addresses the challenges inherent in testing such an AI-based system?

  • A

    The testers should:

    Use a standard indoor testing facility with predefined obstacles and consistent environmental conditions.

    Perform tests focused solely on the drone's ability to navigate these predefined obstacles without considering the need to cede control.

  • B

    The testers should:

    Create a test environment that includes a variety of hazardous conditions, such as simulated storms, extreme temperatures, and variable terrain.

    Implement scenarios that require the drone to make decisions about when to continue autonomously and when to cede control to human operators, ensuring the system is pushed to its operational extremes.

  • C

    The testers should:

    Simulate the drone’s operations using a virtual environment that lacks physical elements of hazard, focusing on the software's response to different algorithms.

    Avoid extreme conditions to prevent potential damage to the prototype.

  • D

    The testers should:

    Set up a controlled lab environment with high precision measuring instruments.

    Focus exclusively on the accuracy of the drone’s sensor readings in a stable environment.

Reveal correct answer

Correct answer: B

Explanation

Scenario B is the most comprehensive and appropriate setup for testing an AI-based autonomous drone meant for hazardous environments. The test environment includes a variety of hazardous conditions to simulate real-world challenges, ensuring the drone’s autonomy is thoroughly tested. This approach also incorporates scenarios where the drone must decide when to cede control to human operators, addressing the critical aspect of autonomous decision-making in extreme conditions. By pushing the system to its operational extremes, the testers can better evaluate the drone’s performance and reliability in its intended environment

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