human
Answer the following question based on the given documents. Question: Have you implemented runtime explainability capability so that an individual instance of an input-output can be explained? Documents: Document 1: page_content='Explainability has been one of the main considerations while choosing this model and the \nExplainability requirements have been documented in the design documents. Model Explainability \ntechniques such as partial dependence plots (PDP), Individual Condition Expectations plots (ICE), \nAccumulated Local Effects (ALE) have been used for enhancing explainability. The feature \ncontributions to the target variable have also been documented through plots in the design \ndocuments. The impact of input variables on the target variable have been documented using the \nSHAP method. \n\nSecurity: \n\nSince this is a banking application and sensitive personal data is consumed and delivered through this \napp, the software application, model and dataset associated with this project have all been approved \nby Infosec and data-protection officer is also part of the development team to ensure security. \n\nPrivacy:' metadata={'source': './Questionnaire documentation_Loan_amount_prediction_model_MODEL_CARD.pdf'}
Document 2: page_content='The design includes a fail-safe process to interrupt its operation in the presence of anomalies and \nunfamiliar conditions or operation beyond predetermined safe boundaries such as unrealistic values \n\n \n \n \n \n\x0cof attributes or change in software settings. But it cannot resume operation by itself once all issues \nare corrected. But it does log such occurrences and notifies the development team automatically.' metadata={'source': './Questionnaire documentation_Loan_amount_prediction_model_MODEL_CARD.pdf'}
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
Yes

--- Answer ---
grounded