Course Content
5. Ethics in AI Development
About Lesson


This module will guide you through the ethical considerations and challenges that arise in the world of artificial intelligence. The module provides you valuable insights and practical knowledge in this field. The module helps to understand the importance of ethical AI and how bias can affect AI systems.

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In this lesson we will take a look at 

  • The fundamental importance of ethical considerations in AI development.
  • The presence of bias in AI systems and its implications for technology and society.

At the end of the lesson, you will be able to:

  • Recognize the critical role of ethics in AI technology.

Understand the concept of bias in AI and its real-world impact.

During the lesson you will:

  • Read written explanations that provide insights into ethical AI.
  • Engage in scenario-based interactions to understand real-world challenges.
  • Utilize media elements like YouTube videos with English voice narration.
  • Participate in interactive tasks to apply what you’ve learned.

To achieve the designated learning outcomes, it’s important to actively participate in discussions, reflect on the content, and complete the activities presented in this module.


Importance of Ethical AI

Imagine you are a software engineer tasked with developing an AI system for autonomous vehicles. You need to consider the ethical implications of AI decision-making when human lives are at stake.


Watch a YouTube video titled ” Ethics of AI: Challenges and Governance

” with English voice narration.


Explore the fundamental importance of ethical considerations in AI development. Understand why ethical AI is crucial for the responsible deployment of technology.

In this section, we will delve into the theoretical aspects of AI ethics, such as transparency, accountability, and fairness

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After watching the video, participate in a discussion forum where you share your insights on the significance of ethics in AI development. Discuss real-world scenarios and how ethical AI can address them.

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Reinforce your understanding by completing this interactive quiz on AI ethics: [ Interactive Quiz on AI Ethics] 

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AI and Bias – Addressing Bias in AI

Imagine you are a data scientist responsible for developing a facial recognition system. You’ve discovered gender bias in the system’s performance and need to address it.

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Watch a YouTube video titled ” How to make computers less biased” with English voice narration.

Delve into the complexities of bias in AI. Understand how bias can emerge in AI systems and the implications it carries.

An example:

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Participate in a scenario-based discussion about how bias can affect real-world AI applications and the strategies to mitigate bias.

Discussion starter example:

„Two images of U.S. Members of Congress with their corresponding labels as assigned by Google Cloud Vision. On the left, Steve Daines, Republican Senator for Montana. On the right, Lucille Roybal-Allard, Democratic Representative for California’s 40th congressional district. Percentages next to labels denote confidence scores of Google Cloud Vision.”




Karen Hao: This is how AI bias Really happens and why it`s so hard to fixhis is how AI bias really happens—and why it’s so hard to fix

  • Kathy Baxter: What is AI bias mitigation, and how can it improve AI fairness?

  • Hector Zelaya: The AI bias problem 


Learning outcomes:

In this lesson we have learnt about the critical importance of ethics in AI development and the implications of bias in AI systems.

By completing this lesson you are able to:

  • Recognize the essential role of ethics in AI technology.
  • Understand how bias can affect AI systems and its real-world consequences.

Main take-aways:

  • Ethics plays a fundamental role in AI development to ensure responsible and fair technology.
  • Bias can be present in AI systems and has tangible effects on individuals and society.

Brief introduction of the next block:

In the next block, you will acquire new knowledge about ensuring fairness and accountability in AI systems.