An online lender uses an AI model to help decide whether to approve a personal loan application. Company policy requires that every applicant be told when an AI system contributed to the decision and be given a plain-language description of the general factors the model weighed, such as income and credit history. Which responsible AI principle does this disclosure requirement most directly support?
Select an answer to reveal the explanation.
Short Explanation
Telling an applicant that an AI system played a role in their loan decision, and giving them a plain description of what it weighed, is about pulling back the curtain on how the decision got made. That openness is the whole point here, letting people see roughly why a system reached the conclusion it did rather than leaving them guessing. The other principles show up in similar-sounding scenarios but do not fit this one: making sure the system works well for a broad range of applicants is a separate concern about who the system serves, not about what gets disclosed. Naming a specific person or team accountable for the system's outcomes is about ownership, not about the content of a disclosure. And keeping an applicant's financial data safe from misuse is about protection of information, not about explaining how a decision was reached.
Full Explanation
The correct answer is D. Disclosing to applicants that an AI system contributed to a loan decision and describing, in plain language, the general factors it weighed is a transparency requirement, since it is aimed at helping people understand how and why a decision was reached. Option A is incorrect because inclusiveness concerns designing a system that works well for people across a broad range of backgrounds and abilities, not disclosing information about how a decision was made. Option B is incorrect because accountability concerns designating specific people or teams responsible for the system's outcomes and governance, not the content or existence of a disclosure given to applicants. Option C is incorrect because privacy and security concerns protecting applicants' data from unauthorized access or misuse, whereas the scenario describes explaining decision factors rather than data-handling practices. The lender's policy of telling applicants when AI was involved and summarizing what it considered is squarely about making the decision process understandable to the people affected by it, which is the core aim of transparency among the responsible AI principles.