Module II
Fairness and Accountability
About this module
In this module, we'll explore the critical concepts of fairness and accountability in the development and deployment of artificial intelligence. This module will continue to guide you through this learning journey. The module delve you into the importance of ensuring AI systems are fair and accountable to prevent ethical and social concerns.
Learning outcomes
In this lesson we will take a look at
- What it means to ensure fairness in AI systems
- The concept of accountability in AI development. At the end of the lesson, you will be able to:
- Understand the importance of fairness in AI
- Grasp the principles of accountability in AI technology
How you'll learn
During the lesson you will: • Read explanations and guidelines on ensuring fairness and accountability.
Ensuring Fair AI Systems
Imagine you're a product manager responsible for launching an AI-driven recruitment tool. How would you ensure that this tool is fair and unbiased, promoting diversity and inclusivity in hiring?
Use this picture as an inspiration:
Source of the picture:
Watch a YouTube video titled "AI Fairness & Model Bias in 7 Minutes" with English voice narration.
“When thinking about fairness in the design and deployment of AI systems, it is important to always keep in mind that these technologies, no matter how neutral they may seem, are designed and produced by human beings, who are bound by the limitations of their contexts and biases. Human error, prejudice, and misjudgement can enter into the innovation lifecycle and create biases at any point in the project delivery process.”
Sources of the pictures and the quotation:
ety
After watching the video, participate in a scenario-based discussion on ensuring fairness in AI applications. Share your insights on best practices and potential challenges.
Sourese of the pictures:
uiz/
Accountability in AI
Imagine you're an AI ethics consultant. A self-driving car has caused an accident, and there are questions about who is responsible. How would you determine the accountability of the AI system and its developers?
Use these words for an inspiration for your answer:
Source of the picture:
Watch a YouTube video titled "The importance of accountability in AI decision-making [1.48.]" with English voice narration.
Delve into the concept of accountability in AI. Understand the legal and ethical responsibilities in AI development.
Source of the picture:
ety Source of the picture:
a0b612b6253b37df7d363b3bf2ec3d581c7/figure/0 Accountability features:
Source:
Participate in a scenario-based discussion on the ethical and legal aspects of holding AI accountable.
Discuss real-world examples and potential solutions.
Discuss their responses using the following question prompts:
How would you feel if a site recommends products that are skewed towards a particular company or point of view?
What is at the heart of this dilemma?
Source:
iz/ Intelligence: What It Is and How It Works Main take-aways:
- Ensuring fairness in AI systems is crucial for preventing bias and discrimination.
- Accountability in AI involves legal and ethical considerations for responsible technology. Brief introduction of the next block: In the next block, you will acquire new knowledge about emerging ethical challenges in AI, especially in the field of privacy and security.
End of module
Module complete
Continue when you're ready.