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2.1 Overview and Outcomes

Overview and Outcomes

There are many ethical issues around the creation and use of Generative AI tools that need to be taken into consideration as we make decision on if/how to adopt Generative AI tools into our teaching and learning practices. The goals of this chapter aren’t to impose a certain ethical position on you, but to raise awareness of different ethical concerns and enable you to make decisions that align with your own ethical position. It’s also important to be aware that learners and colleagues may have ethical views different to your own. These differences will impact individual use of Generative AI and how you talk with others about AI. We will talk about this more in the sections on Affect and Values as well.

By the end of this section, you will be able to:

  1. Explain the broader ethical considerations of Generative AI
  2. Recognize the role of data ethics and privacy in generative AI applications
  3. Reflect on your own ethical stance with regards to Generative AI use

Some key ethical considerations are:

  • Privacy, intellectual property and copyright
  • Access, affordability, and accessibility
  • Environmental impact
  • Misinformation and deception

In this section of the section, we’ll introduce case studies to help you think about the various ethical implications.

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