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AI&Human: Creative Collaboration (pt.5) - posts worth reading

Updated: Apr 4

To hype you up for our book called "AI Literacy in the Language Classroom" with Zsofi Menyhei that's already published and for our workshop at IATEFL on April 8, I'm going to run a multi-part series of posts with creative human-AI collaboration ideas. Here's part 5, the final one in the series, which includes a list of interesting articles and Linkedin posts that I've bookmarked recently.


 

AI developments appear day after day, and the stakes are getting higher. With a new model, function, tool coming every single day, we're getting closer and closer to questions that we don't have the proper answer to.


Can we continue a peaceful AI-human collaborative relationship or will issues of copyright, intellectual property, environmental protection, data protection, and personal safety become so overwhelming that either we lose everything or developers need to take a step back (which is highly unlikely...)? The following posts and quotes I've collected recently address some of these questions.


  1. Philip Kerr's blog post lists 5 big issues related to teaching AI literacy

"Big issue #4: evidence for any effectiveness in critical digital literacy instruction is in very short supply. We simply do not know what kind of instruction works (Guess et al., 2020, Huguet et al., 2019), and effectiveness (if there is any at all) is probably very context-dependent. If and when it is effective, the instruction will probably be long-term and cross-curricular. We should not expect occasional doses of critical digital literacy (or critical AI literacy) training in the language classroom to have any meaningful impact."


  1. Darren Coxon's thoughts on copyright as the UK is considering relaxing its AI laws

"The most thoughtful approach would be developing frameworks that both encourage beneficial AI development while ensuring creators are fairly compensated and individuals maintain meaningful control over their personal information. This likely requires novel legal mechanisms rather than simply extending existing frameworks."


  1. Vishakha Pandey calls out the Studio Ghibli AI image generation craze

"AI has potential, but not like this. Respect the work. Respect the artists. Stop treating art like a data set to mine and monetize."


  1. Dr Philippa Hardman's post analyzes how L&D course design can adapt to the AI agentic era

"These AI agents don’t just assist learners, they autonomously complete courses by responding to questions, submitting assignments and even contributing meaningfully to online discussions."

"The TLDR of my argument is that AI agents haven’t broken online learning — they have inadvertently exposed what most of us have known for decades: the traditional "content + quiz" model of asynchronous learning is fundamentally broken."


  1. Amelia King's post on thinking and un-thinking with AI

"When AI provides information without activating relevant prior knowledge, it creates isolated facts rather than integrated understanding."

"One of the most significant risks AI poses isn't cheating; it's creating the 'illusion of learning'. In other words, your students think they're learning, without actually taking anything in."




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