Ethical AI: AI essentials for everyone

A Certificate of Participation is awarded to participants who contribute constructively to weekly discussions and exercises/learning activities for the duration of the course.

This tutor-led, cohort-based online course is 7-weeks in duration and is made up of 5 teaching units.

Teaching Week 1 - Introduction to ethical AI

This week aims to lay the groundwork for understanding the historical context and evolution of AI and ethics. The week explores the definitions of AI, Machine Learning, and related technologies, setting the stage for a deep dive into the ethical dimensions of AI.

Learning objectives:

• To gain insight into the historical context and evolution of AI and its ethical considerations.

• To define key terms such as AI, Machine Learning, and related technologies.

• To participate in forum discussions exploring the ethical considerations of AI tools for prompt engineering.

Teaching Week 2 - Key principles of ethical AI

This week aims to deepen the understanding of the key principles of Ethical AI, focusing on fairness, accountability, transparency, safety, and privacy in AI systems. The week also delves into the ethical decision-making processes inherent in AI.

Learning objectives:

• To develop a comprehensive understanding of the key principles of Ethical AI.

• To explore the application of these principles across various scenarios.

• To engage in forum discussions, sharing experiences and thoughts on different personal use cases of AI tools.

Teaching Week 3 - AI tools discovery

In this week the focus is on delving into AI tools for text and image generation, understanding their functionalities, and guiding participants in choosing the right tool based on specific goals. The week includes an activity where students create a personal repository of AI tools and rank them based on ethical and effective criteria.

Learning objectives:

• To acquire knowledge and understanding of various AI tools for text and image generation, along with their applicability.

• To learn to apply tools through a-sync exercises and discussion.

• To develop the ability to prioritise tools and chose the most appropriate, depending on individual needs.

Teaching Week 4 - Ethical prompt engineering

This week is dedicated to shedding light on case studies that demonstrate the ethical application of different prompts, offering participants insights into employing user-centred approaches to create inclusive, accessible, and useful content.

Learning objectives:

• To analyse and understand various case studies, gaining proficiency in the ethical application of diverse prompts within AI.

• To acquire the skills to craft content that is inclusive, accessible, and serves a practical purpose in AI applications.

• To participate in forum discussions, demonstrating critical thinking abilities regarding the ethical considerations associated with AI, particularly in the context of prompt engineering.

Teaching Week 5 - Living with AI: challenges and opportunities

This week is dedicated to navigating the landscape of AI challenges and opportunities. It aims to explore the potential of AI for creating new job opportunities, enhancing efficiency, and preparing individuals for a career in a world increasingly shaped by AI systems.

Learning objectives:

• To develop a comprehensive understanding of AI's potential for generating new job opportunities and improving efficiency.

• To prepare for entering a job market increasingly influenced by AI systems.

• To engage in forum discussions to discuss the future of AI, its challenges, and the abundant opportunities it presents.