Tag: bias

• 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.

  Leon Furze

  May 5, 2025

  AI, AI Ethics, Ethics

  AI, artificial intelligence, bias, education, teaching AI ethics

• AI Principles to Practical Strategies: How Schools Can Apply the National AI Framework

  

  The draft schools AI framework for education is currently open for feedback, alongside a House Standing Committee parliamentary inquiry into Generative Artificial Intelligence in education.   The draft framework represents an important step for schools trying to adapt to the challenges and opportunities of Generative AI. I’ve been working with schools on developing their own…

  Leon Furze

  August 7, 2023

  AI, assessment, curriculum, Digital, education, Strategy & Governance

  Accountability, AI, Artificial, arts, assessment, bias, ChatGPT, classroom, Consent, curriculum, data, development, education, ethics, Fairness, GAI, generative, innovation, Integration, Intelligence, Microsoft., policy, Principles, privacy, Professional, Security, strategies, teaching, technology, Transparency, Visual, Wellbeing

• Teaching Writing with Generative AI

  

  This post is based on a presentation I ran recently at the AATE conference. It takes the writing cycle approach from our book ‘Practical Writing Strategies‘ and applies Generative AI at various stages. One of the most pressing concerns at the recent Australian Association for the Teaching of English (AATE) conference was the implications of…

  Leon Furze

  July 13, 2023

  AI, AI Writing, Digital, Practical Writing Strategies, writing

  AATE conference, AI Assessment Scale, AI ethics, analytical writing, assessment task, audience, audience personas, audience profile, authentic audiences, bias, blogs, book, brainstorming, brainstorming and organizing ideas, burning questions, ChatGPT, ChatGPT (3.5), class time, Claude’s Anthropic, climate crisis, close reading, collaboration, collaborative workshop, context, conventions, Digital, embedding GAI, English teachers, ethical use, example unit, Exploration, fiction, figurative language, final proofing, functional grammar, GAI and the Writing Cycle, GAI technologies, Generative AI, generic feedback, Google’s Bard, ideas, literary critic personas, literary critique, literary journals, literature class critical journals, media, mentor texts, Microsoft’s Bing, nonfiction, peer assessment, peer assessment and workshops, personal voice, poetry slams, polishing, Practical Writing Strategies, presentation, print, product, publication, Purpose, school anthologies, school newsletters, self-assessment, self-directed skills development, sensory details, sentence structure, skills, skills gaps, stages, step by step instructions, student writing, style, teachers, techniques, vivid imagery, vocabulary, voice, writing competitions, Writing Cycle, writing cycle approach, writing instruction, writing process

• 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

  May 18, 2023

  AI, Digital, education, Pedagogy

  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 Writing in the Age of AI: Reinventing English

  

  This is the fifth and final post in the series Teaching Writing in the Age of AI. Check out the other posts in the series: In this series, I’ve explored how teaching writing might change as the adoption of Artificial Intelligence accelerates. Late 2022 was a watershed moment in AI, with ChatGPT pushing generative AI…

  Leon Furze

  February 27, 2023

  AI, AI Writing, assessment, curriculum, writing

  AI, assessment, bias, chatbot, ChatGPT, classroom, collaboration, communication, creativity, critical thinking, digital citizenship, digital literacy, disruption, education, english, ethics, exams, fact-checking, future, generative, innovation, instruction, knowledge, misinformation, opportunities, Professional Development, research, skills, teaching, technology, writing

• Teaching AI Ethics

  

  Update: since I wrote this original post covering the nine areas, I’ve expanded each one into a complete article. Have a read through this post, and then when you’re ready to dive deeper into AI ethics, check out the full series here. If you linked to this post as part of a course or university…

  Leon Furze

  January 26, 2023

  AI, AI Ethics

  AGI, AI, arts, autocomplete, bias, chatbot, ChatGPT, classroom, Common Crawl, computer science, dataset, economics, education, ethical considerations, ethics, expert systems, fine-tuning, GPT-3, history, Language model, large language model, literature, machine learning, mathematics, maths, narrow AI, Natural language processing, NLP, OpenAI, output, PE, philosophy, power, prediction, predictive text, religion, science, strong AI, teachers, technology, training, user interface, weak AI