Generative AI has changed the ways we work, study and even pray. Here are some highlights of an astonishing year of change – and what we can expect next.
Federal and state governments have just released a national framework for generative AI in schools. This paves the way for generative AI to be used routinely in classrooms around the country.
Learning about Generative AI should include supporting collaborative interdisciplinary research and writing ethical prompts to help discover what it can do.
Teaching students how to assess digital content can involve looking for clues about text origins, understanding the process of gathering and assessing evidence and grasping how content is generated.
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.
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 can streamline the painstaking work of mixing and editing tracks. But it’s also easy to see how AI-generated music will make more money for giant streaming services at the expense of artists.
As a composer who has used creative AI in my music, I see that many artists will need to renegotiate terms of their labour, but there are also opportunities for different forms of collaboration.
Hollywood has been using artificial intelligence for 20 years. But the current actors’ and writers’ strikes are specifically concerned about generative AI.
Visual artists draw from visual references, not words, as they imagine their work. So when language is in the driver’s seat of making art, it erects a barrier between the artist and the canvas.
There has been a huge amount of speculation about what ChatGPT means for university study. But has actually been happening? A new survey looks at the first semester with this new technology.