Learning about Generative AI should include supporting collaborative interdisciplinary research and writing ethical prompts to help discover what it can do.
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Articles on ChatGPT
Displaying 41 - 60 of 171 articles
At the heart of Silicon Valley lies a powerful admiration for its ‘genius founders’ – but this comes at the cost of accountability.
It is almost a year since ChatGPT burst onto the scene. Generative artificial intelligence has become incredibly assessable to everyone, including young people.
Students often use generative AI tools for engaged learning. They have a critical and nuanced understanding of these tools.
There are clear potential time saving benefits. But how these tools might affect the teaching profession more broadly needs to be considered.
Chatbots are proving to be productive and useful but they can be unreliable and make mistakes.
The language and speech technology has been developed to provide linguistic accuracy and is grounded in teaching principles.
Search engines run by generative AI could fundamentally change the online ecosystem.
AI tools are becoming increasingly personalised to cater to our every need. Will outsourcing the handling of information to AI make us ‘dumber’?
AI technologies have been left largely unregulated in New Zealand – and barely discussed during the election campaign. The country needs a clear plan for the brave new digital world.
ChatGPT and its ilk give propagandists and intelligence agents a powerful new tool for interfering in politics. The clock is ticking on learning to spot this disinformation before the 2024 election.
Authors are furious about finding their works on pirated dataset Books3. Copyright is the usual avenue for redress, but while AI moves at speed, the law is slow – and not designed to combat AI issues.
What should you do if you’re tempted to use ChatGPT for medical advice? For starters, don’t use it.
Scholars differ over whether having students use AI in their assignments will help or hurt their careers after graduation.
The seeds of the current commotion over AI were laid years ago.
Language model AIs seem smart because of how they string words together, but in reality they can’t do anything without many people guiding them every step of the way.
Snapchat’s AI-powered chatbot malfunctioned this week, raising questions of “sentience” among users. As AI becomes increasingly human-like, society must become AI-literate.
The Canadian government’s attempts at public consultations have fallen short when developing regulatory frameworks for AI. More needs to be done to ensure that policies serve the public.
AI chatbots can be educational tools but still have many drawbacks.
Meta’s open source strategy contrasts starkly with the more guarded approach of its primary competitor, OpenAI
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