Category: AI Ethics
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Teaching AI Ethics 2026: Power
The final article in the updated ‘Teaching AI Ethics’ series explores how AI consolidates power in the hands of the wealthiest, most powerful companies in the world.
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Teaching AI Ethics 2026: Emotions and Social Chatbots
The article updates prior discussions on AI ethics, shifting focus from the challenges of emotion recognition to the manipulation of human emotions by AI systems, particularly social chatbots. It highlights the risks posed to young users, detailing manipulative tactics used by platforms and regulatory responses aimed at safeguarding mental health.
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Teaching AI Ethics 2026: Human Labour
This is an updated post in the series exploring AI ethics, building on the original 2023 discussion of human labour. Since 2023, the human cost of AI has become one of the most pressing ethical issues in the industry, with major lawsuits, union formation, and investigative journalism bringing the exploitation of workers into public view.
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Teaching AI Ethics: Data 2025
This is an updated post in the series exploring AI ethics, building on the original 2023 discussion of data and “datafication”. This post explores why and how GenAI relies on so much data collection, how AI companies are gathering the information, and what it means for education.
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Teaching AI Ethics: Privacy 2025
This is an updated post in the series exploring AI ethics, building on the original 2023 discussion of privacy concerns. As generative AI has become embedded in our daily digital lives from chatbots to smart glasses the privacy implications have grown more complex and immediate. This post explores how GenAI has transformed privacy risks and…
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Teaching AI Ethics: Copyright 2025
This is an updated post in the Teaching AI Ethics series, originally published in 2023. Given the explosive developments in AI and copyright over the past two years – including major court cases, government decisions, and the first billion-dollar settlements – it felt essential to revisit this intermediate-level ethical concern. For the previous updated post…
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Teaching AI Ethics 2025: Truth
The third post in the Teaching AI Ethics series explores “truth” and GenAI, including the implications for education.
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The “Privacy” Discourse Policing AI in Schools
Technology vendors are using privacy and safety as bait to lure school leaders to locking in on AI platforms like Copilot and Gemini. But is privacy as big a concern as we think, or does this risk threatening teachers’ autonomy?
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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.