Q39Guidelines for Responsible AI
A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution's decisions to be explainable. Which factor relates to the explainability of the AI solution's decisions?
← → navigate · a answer
Community votes
Discussion · 6
A 4
Model complexity is the most important factor when considering the explainability of the AI solution's decisions, as simpler models with fewer parameters and layers are typically easier to explain and interpret.
A 4
More complex models are harder to interpret; simpler models improve explainability.
A 2
Model complexity in machine learning refers to the capacity of a model to capture and represent patterns in the data. It involves the depth, breadth, and intricacy of the underlying structure of the model. Here are some key aspects
@ 1
A resposta correta é A. Complexidade do modelo.
A explicabilidade de um modelo de IA refere-se à capacidade de entender e justificar suas decisões. Modelos mais complexos, como redes neurais profundas, tendem a ser menos interpretáveis porque envolvem muitas camadas e parâmetros que tornam difícil rastrear como cada decisão foi tomada. Modelos mais simples, como árvores de decisão ou regressões lineares, são mais fáceis de interpretar e auditar.
A 1
The correct answer is A. Model complexity directly affects how interpretable and explainable AI decisions are.
A 1
A is the correct answer