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When AI makes mistakes, who can be held responsible?
Accountability in AI: Who bears responsibility for errors? | GZERO AI

When AI makes mistakes, who can be held responsible?

In this episode of GZERO AI, Taylor Owen, professor at the Max Bell School of Public Policy at McGill University and director of its Centre for Media, Technology & Democracy, explores the issues of responsibility and trust with the widespread deployment of AI. Who bears responsibility when AI makes errors? Additionally, can we rely on AI, and should we trust it?

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Courtesy of DALL-E

Is the GPT Store the next big internet marketplace?

I’ve joined a ChatGPT book club of sorts. For me, winter is best spent curled up on the couch with a good book, and I’m currently reading three: one in print, one on my iPhone, and one audiobook.

That last one is “Dawn,” a 1987 science-fiction tale by Octavia Butler, an author whose work I find captivating. I don’t know if she ever wrote about artificial intelligence, but I think she still would’ve appreciated this exercise.

Last week, OpenAI, the company behind ChatGPT, opened its GPT Store, offering a collection of third-party applications — essentially fine-tuned versions of ChatGPT that specialize in particular areas of expertise, such as robotics, medical advice, video creation, the list goes on. ChatGPT’s premium service ($20 a month) offers full access to this library. On my first go, I noticed a chatbot called Books and decided to give it a try.

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Photo illustration showing the DALL-E logo on a smartphone with an Artificial intelligence chip and symbol in the background.

Budrul Chukrut/SOPA Images/Sipa USA via Reuters

Hard Numbers: Profitable prompts, Happy birthday ChatGPT, AI goes superhuman, Office chatbots, Self-dealing at OpenAI, Saying Oui to Mistral

$200,000: Want an image of a dog? DALL-E could spit out any breed. Want an Australian shepherd with a blue merle coat and heterochromia in front of a backdrop of lush, green hills? Now you’re starting to write like a prompt engineer, and that could be lucrative. Companies are paying up to $200,000 for full-time AI “prompt engineering” roles, placing a premium on this newfangled skill. It's all about descriptive fine-tuning of language to get desired results.

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