Quiz 5 - Question 2

A start-up in Windhoek develops a chatbot to help students practice English grammar. The chatbot is designed with a female avatar and marketed as a “friendly tutor” who is “always available”. While the company sees this as a major educational innovation, parents worry about children missing human mentorship, teachers fear being replaced, and women’s groups criticise the reinforcement of stereotypes about women as always-nurturing assistants.

According to what you have covered in this course, what would be a responsible next step for the company?

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Google DeepMind: Discover The Transformer Architecture

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Google DeepMind: Discover The Transformer Architecture

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In this module, you will learn about the other components that are required for building a transformer model. You will investigate the importance of adding positional information to tokens and you will see what components a transformer block consists of. You will also explore the role multi-layer perceptrons and normalization play in the transformer block. Finally, you will walk through a complete implementation of a transformer language model and investigate the parameters that are part of each component.

Exercise 1: Positional embeddings Exercise 2: Lab: Positional Embeddings Exercise 3: Sinusoidal and rotary positional embeddings Exercise 4: Transformer blocks Exercise 5: Multi-layer perceptron Exercise 6: Layer normalization Exercise 7: Lab: Trainable Parameters in the Transformer Model Exercise 8: Quiz 3 - Question 1 Exercise 9: Quiz 3 - Question 2

In this module, you will learn about the advantages and disadvantages of using a transformer model and discover sophisticated methods for generating texts with language models. Additionally, you will consider how technologies like chatbots are understood differently by different groups, revealing why meaningful engagement is essential to avoid reinforcing stereotypes, deepening inequalities, or overlooking social values. You will see how, by recognising diverse perspectives, developers can design AI that is more inclusive, fair, and responsive to community needs.

Exercise 1: Pros and cons of transformers Exercise 2: Decoding and generation Exercise 3: Why engagement matters: Gendered chatbots in Nigerian banks Exercise 4: Quiz 4 - Question 1 Exercise 5: Quiz 4 - Question 2

In this module, the stakeholder mapping and social values activity will help you identify who is affected by your project, what values matter to them, and how their influence shapes outcomes. This will be followed by a mini-engagement design which will guide you to plan simple, practical ways of involving these groups so their perspectives meaningfully shape your AI project.

Exercise 1: Mapping stakeholders and social values Exercise 2: Design a mini-engagement plan Exercise 3: Quiz 5 - Question 1 Exercise 4: Quiz 5 - Question 2

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In this module, you will have the opportunity to consult additional resources and further reading to investigate the topics you have covered in more detail. Finally, you will consider your next steps and how you can build on what you have learned in the course.

Exercise 1: Summary Exercise 2: Looking forward Exercise 3: Additional resources and further reading Exercise 4: Glossary Exercise 5: Feedback