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Articles on Generative AI

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Universities are ideal spaces to forge co-operation across research fields, an imperative of developing responsible AI. (Shutterstock)

Why student experiments with Generative AI matter for our collective learning

Learning about Generative AI should include supporting collaborative interdisciplinary research and writing ethical prompts to help discover what it can do.
Understanding the difference between searching the internet and doing evidence-based research is one part of addressing AI misinformation. (Shutterstock)

AI-generated misinformation: 3 teachable skills to help address it

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.
Do you know who helped ChatGPT give you that clever answer? Eric Smalley, The Conversation US (composite derived from Library of Congress image)

ChatGPT and other language AIs are nothing without humans – a sociologist explains how countless hidden people make the magic

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 C.D. Howe Building is the home of Innovation, Science and Economic Development Canada, the department of the federal government responsible for regulating industry. (Shutterstock)

The Canadian government’s poor track record on public consultations undermines its ability to regulate new technologies

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.
Musicians and producers can already utilize AI to realistically reproduce the sound of any instrument or voice imaginable. Paul Campbell/iStock via Getty Images

3 ways AI is transforming music

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.
Generative AI used to recreate Drake’s voice was trained on many copyrighted songs featuring his voice. Drake appears on screen during a tribute to Lil Wayne at the Black Music Collective on Feb. 2, 2023, in Los Angeles. (AP Photo/Chris Pizzello)

Why the growth of AI in making art won’t eliminate 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.
Obtaining a desired image can be a long exercise in trial and error. OpenAI

The folly of making art with text-to-image 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.

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