Explanation:
Thorough documentation and continuous monitoring of an AI model's development and operational lifecycle are essential to ensure the model remains transparent, reliable, and aligned with Trustworthy AI principles.
Option A is incorrect because transparency and accountability require broader access to documentation for validation and oversight teams, not just developers. Option C is incorrect because performance monitoring should occur across all phases of the model lifecycle, not just during consumer interaction, to identify any emerging biases or drifts. Option D is incorrect because internal governance and model risk management require institutions to maintain primary responsibility for validating and overseeing their own models, rather than outsourcing these entirely to external regulatory bodies.
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Q.5685 Throughout the lifecycle of an AI model in financial risk management, maintaining alignment with the principles of Trustworthy AI is crucial. What key practice ensures that these models adhere to such principles?
A
Restricting access to the AI model's documentation to a select group of developers only.
B
Thoroughly documenting the AI model's development and operational lifecycle, while closely monitoring its performance.
C
Limiting the AI model's performance monitoring only to phases where it directly interacts with consumers.
D
Migrating AI model validation and oversight responsibilities solely to external regulatory bodies.