Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

Artificial Intelligence (AI) is the broadest field, encompassing any technique that enables computers to mimic human intelligence. Machine Learning (ML) is a specific approach within AI where systems learn from data to make predictions or decisions without being explicitly programmed. Deep Learning (DL) is a further specialization within ML that utilizes multi-layered neural networks (deep neural networks) to learn from vast amounts of data. This creates a hierarchical relationship where DL is a subset of ML, and ML is a subset of AI.

A. This incorrectly states that Machine Learning is a subset of Deep Learning; the relationship is the reverse.
B. These fields are not separate; they are nested subsets of one another, representing a progression of specificity.
D. This reverses the entire hierarchy, incorrectly placing the broadest field (AI) as a subset of the most specific (DL).

1. Oracle Cloud Infrastructure Documentation. (2024). Overview of OCI AI Services. "Artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence... Machine learning is a branch of artificial intelligence... Deep learning is a type of machine learning..."

2. Goodfellow

I.

Bengio

Y.

& Courville

A. (2016). Deep Learning. MIT Press. Chapter 1

Introduction

pp. 1-5. This foundational textbook describes the relationship between AI

ML

and DL

showing them as nested fields.

3. Stanford University. (n.d.). CS221: Artificial Intelligence: Principles and Techniques. Course Syllabus. The course structure introduces Machine Learning and Deep Learning as major topics within the broader field of Artificial Intelligence.