What is the purpose of explainable AI?

Question

BlackTom AI · Accepted Answer

The question asks about the purpose of explainable AI. In this case, the answer provided is that explainable AI aims to make AI models more interpretable and understandable. Since the list of answer options is not provided (answer_options is null), I cannot analyze multiple choices or contrast the given option with alternatives. Nevertheless, focusing on the concept itself: explainable AI (XAI) seeks to make the decisions and behavior of AI systems transparent, so users can understand why a model produced a particular output, assess its reliability, and ensure safety and accountability. This involves methods that provide human-understandable justifications, visualizations of model reasoning, and explanations that align with domain knowledge. If the aim is to improve trust and debugging capabilities, this interpretation aligns with the core motivation behind XAI. In typical multiple-choice contexts, distractor options might claim that models should be opaque, that explanations are unnecessary for all users, or that interpretability comes at no cost to performance; none of these accurately reflect the standard purpose of explainable AI. However, since those options are not present here, we focus on the single stated option: it correctly captures the essential purpose of XAI by prioritizing interpretability and understandability of AI models.

What is the purpose of explainable AI?单项选择题

类似问题

An image-recognition model labels a medical image as suspicious and highlights the regions that most influenced the classification. What is the most appropriate description of how the highlighting functions as an explanation for patients and doctors?

A hospital deploys an AI sepsis early-warning system that gives emergency department physicians a risk score and brief rationale for each patient. Which design choice would most directly support appropriately calibrated trust by the intended users?

Which of the following best describes why explainability is a subject of ethical significance in "high-stakes" AI systems?

What does London mean wen he describes deep learning AI's reasoning as "atheoretical, associationist, and opaque"? (Check BOTH that apply)

Which of the following best describes a contrastive explanation in AI?

The words interpretable and explainable are closely related. However, in machine learning they refer to slightly different aspects of model behaviour. Choose the most appropriate definition below.

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单