Module Contents
Introduction to this Module
The purpose of this workbook is to provide an explanatory introduction to artificial intelligence (AI) and machine learning (ML). The workbook is divided into two sections, Key Concepts and Activities.
The first section provides an introduction to some key technical, sociotechnical, and ethical concepts that offer a knowledge base for those engaging in the AI Ethics and Governance in Practice Programme. Material covered in the first section includes a technical introduction to AI and ML, followed by an overview of the AI Ethics and Governance frameworks that will be explored in more detail in subsequent modules.
The second section provides a set of group-based activities that are intended to bring the ideas explored in the first section to life.
KEY CONCEPTS
This section provides content for workshop participants and facilitators to engage with prior to attending each workshop. This section demystifies AI and ML by discussing foundational components that make up AI systems, providing definitions of key terms, an overview of the stages for building AI models, and a brief introduction to AI ethics.
It provides an overview of the frameworks that will be explored in more detail in subsequent modules.
ACTIVITIES
This section provides a set of group-based activities that can be used in a workshop to explore the core ideas of this module. Each activity corresponds to a specific section in the Key Concepts. Instructions are provided for both facilitators and participants.
Case studies within the AI Ethics and Governance in Practice workbook series are grounded in public sector use cases, but do not reference specific AI projects.
Print this module
