Chapter 2: AI Pitfalls: Confidence and Misinterpretation

2.1 - Understanding AI Paradox: This module delves into the paradoxes inherent in AI, such as its potential to both solve complex problems and create new ones. 

Essential Question: What is the AI paradox? Can you provide examples of how AI can both solve and create problems?

By the end of this module, you should be able to:

• Understand and explain the AI paradox.

• Provide examples of how AI can both solve and create problems.

• Reflect on the complexities and paradoxes inherent in AI technology.

2.2 - Lab 2: AI Misinterpretation: In this lab, you will use AI tools in unconventional ways or feed them unanticipated inputs to observe how AI can misinterpret or mishandle these scenarios. This exercise highlights the importance of understanding AI's limitations and potential pitfalls.

2.3 - Consequences of AI Misinterpretation: We will explore the potential negative consequences of misinterpreting AI outputs or misunderstanding AI's limitations. Activities will involve hands-on experimentation with AI tools and software to illustrate these points. 

Essential Question: What can be the potential negative outcomes of misinterpreting AI outputs? How can misunderstanding AI's limitations lead to issues?

By the end of this module, you should be able to:

• Understand the potential negative consequences of misinterpreting AI outputs.

• Recognize the risks of misunderstanding AI's limitations.

• Reflect on the importance of correctly interpreting and understanding AI.

2.4 - Lab Report:  Consequences of AI Misinterpretation: Following Lab 2: AI Misinterpretation, you are required to submit a detailed lab report. This lab report will delve into the reasons why the AI failed to comprehend your intended commands and the consequences it led to. It's an opportunity for you to reflect on and analyse the situations where AI's understanding diverges from our expectations. You will also be expected to suggest possible improvements or design changes that might make the AI more reliable in understanding human commands. Your report should be comprehensive, well-reasoned, and show a good understanding of the AI's workings. This lab report serves to consolidate your learning and to reflect on the importance of clear communication with AI systems.