Teaching AI Ethics: Bias and Discrimination

This is the first post in a series exploring the nine areas of AI ethics outlined in this original post. Each post will go into detail on the ethical concern as well as providing practical ways to discuss these issues in a variety of subject areas. UPDATE: Here's a pre-post-script to this post which raises an important point about bias in image generation. It comes from a DM conversation and subsequent comment on the post on LinkedIn: Excellent comment via Lori Mazor on the image with this […]

https://leonfurze.com/2023/03/06/teaching-ai-ethics-bias-and-discrimination/

Teaching AI Ethics: Environment

This is the second 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 first post on bias and discrimination, click here. The original post Teaching AI Ethics provided an overview of nine areas of ethical concern with AI. Although I primarily work with generative AI like text and image generation, many of these can be […]

https://leonfurze.com/2023/03/13/teaching-ai-ethics-environment/

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 "truth" is a significant ethical issue related to AI systems like ChatGPT. Since its launch in November, there have been two main concerns: first, the likelihood of AI models […]

https://leonfurze.com/2023/03/21/teaching-ai-ethics-truth-and-academic-integrity/

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 in the 'intermediate' level of posts for Teaching AI Ethics. At this level, the concepts start to become more complex. This might be because the information is harder to access, or because the ideas […]

https://leonfurze.com/2023/04/04/teaching-ai-ethics-copyright/

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 about the impact of Artificial Intelligence technologies on our privacy. AI systems are often "black boxes", making it hard to understand how they arrive at their decisions and […]

https://leonfurze.com/2023/04/10/teaching-ai-ethics-privacy/

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 used to describe how all aspects of our lives are being turned into datapoints. Whether through the collection of our likes, shares, and ratings on social media and streaming apps, or […]

https://leonfurze.com/2023/04/16/teaching-ai-ethics-datafication/

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 to develop and influence different aspects of our lives, its role in education is becoming increasingly important. One particularly controversial implementation of AI […]

https://leonfurze.com/2023/05/15/teaching-ai-ethics-affect-recognition/

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 of Artificial Intelligence, the image that often springs to mind is that of sentient machines or shiny metallic robots, a depiction heavily influenced by popular culture. This […]

https://leonfurze.com/2023/05/22/teaching-ai-ethics-human-labour/

Teaching AI Ethics: Power

This is the final post in a nine-part series exploring AI ethics, originally outlined in this post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. Here's a full list of the rest of the series: Bias and discrimination Environmental concerns Truth and academic integrity Copyright Privacy Datafication Emotion recognition Human labour This post on Power has been a long time coming. It is, in my opinion, […]

https://leonfurze.com/2023/06/19/teaching-ai-ethics-power/