A-Z Popular Blog Top Search »
Artificial Intelligence

Decision Trees vs Artificial Intelligence

 , updated on December 09, 2016
A decision tree is a tree-like graph that can be used as an algorithm to automate decision making. Decision trees are considered human-readable. As such, they are compatible with human driven processes such as governance, ethics, law, audits and critical analysis.
Artificial intelligence is another common method of automating decisions using sophisticated tools that learn and self-improve. AI models of decision making can be based on decision trees. However, more typically they are based on statistical models that aren't easily human-readable.
It is challenging to govern and manage AI decisions that can't be represented in human-readable form. Additionally, the self-improving nature of AI means that decision criteria change with time making them all the more difficult for humans to evaluate.
Generally speaking, predefined decision trees are compatible with business and legal processes. Artificial intelligence is often difficult to incorporate into processes that require human judgment.
Overview: Decision Trees vs Artificial Intelligence
TypeDecision Automation
Decision Tree DefinitionA tree-shaped graph used to determine an action or illustrate a statistical probability.
Artificial Intelligence DefinitionSoftware that learns and self-improves often using statistical models that aren't easy for humans to intuitively understand.
TradeoffsDecision trees integrate well with human-driven processes.
AI decisions are potentially more optimized and dynamic as compared with predefined decision trees.
AI is generally difficult for humans to govern and control due to its self-improving nature.
Related ConceptsArtificial Intelligence
Affective Computing
Strong Artificial Intelligence
Sentiment Analysis

Artificial Intelligence

This is the complete list of articles we have written about artificial intelligence.
Affective Computing
Artificial Stupidity
Chinese Room
Decision Trees
Deep Learning
Deep Magic
Ensemble Learning
Event Processing
Forward Chaining
Fuzzy Logic
IT Biases
IT Examples
Machine Biases
Machine Unlearning
Neural Network
Predictive Analytics
Sentiment Analysis
Swarm Intelligence
More ...
If you enjoyed this page, please consider bookmarking Simplicable.

Types Of Artificial Intelligence

A few common types of artificial intelligence.

Technological Singularity

Technological singularity explained.

Affective Computing

Artificial intelligence and emotion.

Artificial Life

An overview of artificial life.

Machine Logic

How artificial intelligence can be illogical.

Deep Learning

A definition of deep learning with examples.

Supervised Learning vs Unsupervised Learning

The difference between supervised and unsupervised learning with an example.

Natural Language Processing

The common types of natural language processing.

Autonomous Systems

Common types of autonomous systems.

Artificial Intelligence Examples

Common examples of artificial intelligence.

Types of Technology

A reasonably comprehensive list of information technologies.


A list of gamification techniques.

Information Technology Problems

A list of common IT problems.

Types Of Cloud

The basic types of cloud computing.

Machine Data

The common types of machine data.

Types Of Software

The common types of software.

Proprietary Technology

A definition of proprietary technology with examples.

Systems Design

The common elements of a systems design.

Systems vs Applications

The difference between systems and applications explained.
The most popular articles on Simplicable in the past day.

New Articles

Recent posts or updates on Simplicable.
Site Map