Author: Leon Furze
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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…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
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…
Leon Furze
AI, AI iceberg, analogies, analogy, API, applications, bedrock, bias, Bing, breaking point, capabilities, challenges, ChatGPT, coherent, colour coded hats, Comment, Common Crawl, comparisons, complexities, computer scientist, conceptualise, contextually appropriate, conversational tasks, correction, criticism, data privacy issues., dataset, discrimination, education, educational infographic, Educators, email, features, fine-tuned, GitHub, godlike, GPT-3, GPT-4, hidden, human, human language, iceberg, inappropriate, internet, knowledge, large language model, LLM, LLMs, magical, massive structure, melting point, misinformation, model, mystery, mythical, ocean, OpenAI’s GPT, PaLM, predict, proprietary, pyramid, Reddit, secondary education, sense check, sharks, snowman sculpture, social media sites, subscription, suggestion, The Pile, threats, toxic content, training process, Twitter, v2, Venn diagram, version 3.5, version 4, visible portion, waterline, watertight, Wikipedia -
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…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
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…
Leon Furze
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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…
Leon Furze
AI, assessment, brainstorming, chatbots, comprehension, creativity, critical thinking, data analysis, editing, education, efficiency, ethics, feedback, full AI, Guidelines, ideas, image generation, notes, outlining, plagiarism, PowerPoint, practical, problem-solving, prompts, report, schools, secondary, solutions, strategies, task sheet, technology, tertiary, universities, virtual simulations, writing -
Teaching Writing: The Challenges
This is the second post in a series responding to feedback from my mailing list members. I asked people about the highs and lows of teaching writing: what do we enjoy the most, and what are the issues or concerns. I’ve received hundreds of responses to the surveys, and have broken them down into three…
Leon Furze
assessment-free writing, brainstorming, character exploration, classroom, collaborative storytelling, confidence, creativity, English teachers, found poetry, free-writing, journaling, mentor texts, modelling, secondary students, setting exploration, six-word stories, student confidence, student growth, Teaching strategies, Teaching Writing, voice, writing, writing activities, writing goals, writing improvement, writing instruction, writing process, writing prompts, writing skills, writing strategies, writing techniques -
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…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
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…
Leon Furze
AI, AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data, data bias, defmation, discrimination, ethical concerns, ethical guardrails, Europe, facial recognition, Fairness, GDPR, Justice, laws, personal data, predictive policing, privacy, responsible AI use, social services, societal biases -
Teaching Writing: The Joys of Writing
This is the first post in a series responding to feedback from my mailing list members. I asked people about the highs and lows of teaching writing: what do we enjoy the most, and what are the issues or concerns. I’ve received hundreds of responses to the surveys, and have broken them down into three…
Leon Furze
assessment-free writing, brainstorming, character exploration, classroom, collaborative storytelling, confidence, creativity, English teachers, found poetry, free-writing, journaling, mentor texts, modelling, secondary students, setting exploration, six-word stories, student confidence, student growth, Teaching strategies, Teaching Writing, voice, writing, writing activities, writing goals, writing improvement, writing instruction, writing process, writing prompts, writing skills, writing strategies, writing techniques -
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…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases