Which of the following should the organization be most concerned about from a privacy perspective?
A financial services organization is using Al lo fully automate the process of deciding client loan rates.
Which of the following should the organization be most concerned about from a privacy perspective?
A . Model explainability
B . Credential Theft
C . Possible prompt Injections
D . Exposure to social engineering
Answer: A
Explanation:
When using AI to fully automate the process of deciding client loan rates, the primary concern from a privacy perspective is model explainability.
Why Model Explainability is Critical:
Transparency: It ensures that the decision-making process of the AI model can be understood and explained to stakeholders, including clients.
Accountability: Helps in identifying biases and errors in the model, ensuring that the AI is making fair and unbiased decisions.
Regulatory Compliance: Various regulations require that decisions, especially those affecting individuals’ financial status, can be explained and justified.
Trust: Builds trust among users and stakeholders by demonstrating that the AI decisions are transparent and justifiable.
Other options, such as credential theft, prompt injections, and social engineering, are significant concerns but do not directly address the privacy and fairness implications of automated decision-making.
References:
CompTIA SecurityX Study Guide
"The Importance of Explainability in AI," IEEE Xplore
GDPR Article 22, "Automated Individual Decision-Making, Including Profiling"
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