Study Guide

Objectives

Student knows the common prerequisites and steps of an AI project. The student can prepare for both legal and ethical issues with using the data, during the implementation process and when the AI is in use. The student can design an AI project and is ready to implement it as a member of an implementation team.

Content

- Differences between an AI and a traditional software project
- Exploration of the selected data
- Ethical and legal review of data
- Ethical and legal review of implementation process and the use of AI
- Design and implementation plan of an AI project

Assessment criteria, satisfactory (1-2)

The student knows about differences between an AI and a traditional software project. The student can explore the selected data. The student knows about at least one ethical and legal review of data. The student can implement an ethical and legal review of the implementation process and of the use of AI with an example. The student can create a design and an implementation plan for an AI project with guidance.

Assessment criteria, good (3-4)

The student knows the differences between an AI and a traditional software project. The student can implement exploration of the selected data. The student knows about ethical and legal reviews of data. The student can implement an ethical and legal review of the implementation process and of the use of AI. The student can create a design and an implementation plan for an AI project.

Assessment criteria, excellent (5)

The student knows comprehensively the differences between an AI and a traditional software project. The student can implement exploration of the selected data in depth. The student knows in depth about ethical and legal reviews of data. The student can implement an in-depth ethical and legal review of the implementation process and of the use of AI. The student can create a comprehensive design and an implementation plan for an AI project.