Category: AI Ethics
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Teaching AI Ethics 2025: Environment
This article, part of a series updating “Teaching AI Ethics,” explores the environmental impact of artificial intelligence, particularly generative AI. It emphasizes the need for transparency in AI’s energy usage, highlights the resource-intensive nature of training and using AI models, and prompts educational discussions on sustainable technology practices.
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Teaching AI Ethics 2025: Bias
This post initiates a nine-article series revisiting the “Teaching AI Ethics” resources from 2023. It highlights ethical concerns surrounding generative AI, especially bias from data, models, and human input. The series aims to educate on bias awareness and mitigation through practical curriculum examples, reflecting growing familiarity with AI technologies by 2025.
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Teaching AI Ethics 2025: Introduction
Over the next few months, I’ll be updating my 2023 Teaching AI Ethics collection. In this post, I’ll explain why the updates are necessary and give a recap on the nine original areas from the series. When I wrote the original series in 2023, ChatGPT was only just on people’s radars. I had started my…
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OpenAI Has Improved Its Image Gen – But Do We Need More “Offensive” AI?
OpenAI’s recent updates to DALL-E 3 aim to enhance its image generation capabilities, but the focus on relaxing restrictions for “offensive” content raises concerns. The integration of more violent and explicit imagery could contribute to misinformation, and doesn’t contribute to the future of the technology.
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Synthetic Sycophants: Why ‘Yes-Bots’ are a Problem for Education
A student is working late on their chemistry homework, struggling with atomic structure. They turn to an AI assistant with a misconception: “I think atoms have fixed electron paths, like planets orbiting the sun.” The AI responds with polite agreement and an authoritative explanation supporting this incorrect model. When challenged, the AI even apologises for…
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We Need to Talk About Deepfakes
Deepfakes are a hot topic in the media right now, and understandably so. Advances in different areas of AI technologies have quickly made the comedic lip syncs of 2018’s Barack Obama deepfakes look almost quaint. Everybody now has easy access to tools which can create compelling image, audio, and even video deepfakes with limited technical…
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Ethics, assessment, and the (near) future of Generative AI
This post provides an update on the AISNSW ICT Management and Leadership conference, including discussions and presentations on various topics related to technology in education. Day one focused on AI ethics and its implications, day two on AI in assessments, and day three featured a closing keynote on the future of generative AI. The post…
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Tech’s cavalier attitude to copyright hurts creators and consumers
In a recent online lunch & learn for the Copyright Agency, I presented on the rapid advances in multimodal generative AI, including audio, video, code, and virtual reality applications. While these technologies offer exciting possibilities for creativity and innovation, they also raise serious concerns about copyright infringement and the potential harm to both consumers and…
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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: This post on Power has…
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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…