During a pre-implementation risk assessment, an AI model is determined to present a significant risk of bias and potential harm in excess of the organization's risk tolerance. Which of the following…

The correct answer is A. Postpone deployment until the risk can be safely managed. When identified risk exceeds the organization's established risk tolerance, the correct and prudent action is to postpone deployment until the risk is brought within acceptable limits (A). Deploying despite exceeding risk tolerance would be irresponsible and expose the…

AI Risk Management and Controls

Question

During a pre-implementation risk assessment, an AI model is determined to present a significant risk of bias and potential harm in excess of the organization's risk tolerance. Which of the following is the MOST appropriate response?

Options

APostpone deployment until the risk can be safely managed.
BEnhance the data that the model is trained on.
CObtain board approval for an exception.
DRevisit the risk tolerance to ensure it is appropriate.

How the community answered

(35 responses)

A
77% (27)
B
6% (2)
C
14% (5)
D
3% (1)

Explanation

When identified risk exceeds the organization's established risk tolerance, the correct and prudent action is to postpone deployment until the risk is brought within acceptable limits (A). Deploying despite exceeding risk tolerance would be irresponsible and expose the organization to harm. Enhancing training data (B) may be part of the remediation strategy but is not the immediate decision. Seeking a board exception (C) is typically reserved for minor or temporary deviations, not significant risks involving potential harm. Revisiting the risk tolerance (D) to retroactively accommodate an unsafe model would undermine the integrity of the risk management framework.

Topics

#AI Risk Assessment#Risk Tolerance#Deployment Control#Bias Management

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