Tag: climate crisis
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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
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 -
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…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, climate, climate change, climate crisis, community needs, data bias, data center, data centre, discrimination, electricity, energy, environment, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases