Category: AI
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Teaching AI Ethics: Human Labour
This is the eighth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on affect recognition, click here. When people think…
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The AI Iceberg: Understanding ChatGPT
Analogies are useful for understanding complex ideas, and there are plenty of complexities for educators trying to wrap their heads around ChatGPT. In this post, I’ll try to explain some of the features of the chatbot and the model it’s built on top of. I’m deliberately avoiding any kind of analogy that represents the AI…
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Teaching AI Ethics: Affect Recognition
This is the seventh post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on datafication, click here. As artificial intelligence continues…
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Teaching AI Ethics: Intermediate Series
The Teaching AI Ethics series is a collection of articles on the many ethical concerns of Artificial Intelligence as a technology and an industry. In this series I offer practical advice on how to teach AI through an ethical lens, including discussing AI ethics from the perspective of multiple subject disciplines. When I wrote the…
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The AI Assessment Scale: From no AI to full AI
AI chatbots like OpenAI’s ChatGPT have kicked the hornet’s nest in education. From articles declaring the “end of everything” (writing, the English classroom, the entire education system…) to claims that AI will revolutionise education, we’ve seen the full spectrum of hype. What we’re yet to see much of, however, are practical solutions for dealing with…
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Teaching AI Ethics: Datafication
This is the sixth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on privacy, click here. “Datafication” is a term…
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Teaching AI Ethics: Privacy
This is the fifth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on copyright, click here. There are growing concerns…
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Teaching AI Ethics: Copyright
This is the 4th post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Truth, click here. This is the first…
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Artificial Intelligence and Film Studies: Midjourney versus CAMELS
CAMELS? As an English teacher, I’ve done a lot of analytical film studies over the years. The biggest problem is always students’ grasp of technical language: film analysis tends to drift off into character and plot description, even more so than for written texts. So, when I teach film, I lean more into my Media…
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Teaching AI Ethics: Truth and Academic Integrity
This is the third post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Environmental concerns, click here. The concept of…