Standard explanation of autopilot decision trees
An SDC contains an autopilot that was designed with several artificial intelligence algorithms. Almost all AI algorithms can apply to an autopilot's need, such as clustering algorithms, regression, and classification. Reinforcement learning and deep learning provide many powerful calculations.
We will first build an autopilot decision tree for our SDC. The decision tree will be applied to a life and death decision-making process.
Let's start by first describing the dilemma from a machine learning algorithm's perspective.
The SDC autopilot dilemma
The decision tree we are going to create will be able to reproduce an SDC's autopilot trolley problem dilemma. We will adapt to the life and death dilemma in the Moral AI bias in self-driving cars section of this chapter.
The decision tree will have to decide if it stays in the right lane or swerves over to the left lane. We will restrict our experiment...