Last week in Vienna at Open Source Summit Europe, the Open Source Initiative presented their current draft of the Open Source AI Definition (OSAID) to

Questions from the Open Source AI Definition session

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2024-10-24 05:30:05

Last week in Vienna at Open Source Summit Europe, the Open Source Initiative presented their current draft of the Open Source AI Definition (OSAID) to a packed room. Now, I’ve written on the topic and my concerns with the proposal before so I was interested in gauging the temperature of the audience. Unfortunately, most of the session was not interactive, and attendees were not provided with a microphone for their questions.

You can watch the full session on YouTube, but I thought I’d pull out the questions and responses as they are so difficult to hear in the video. I’ll admit that there may be transcription errors, though I tried to be as accurate as possible. Where I know the names of the attendees, I have provided them.

Attendee unknown: First of all, is there a fixed definition to sufficiently detailed information and a fixed definition to a skilled person? I mean, how do you define that? You know, that this is the person that is skilled? And this is the information that is sufficient in order for you to [make modifications]?

Stefano Maffuli: Yeah, I mean, this is a lawyer, lawyer question. You can probably argue around that. But skilled person is definitely a technical term in, in legal, in legal literature. It’s a legal practice is it’s recognized….I mean, I think the the general idea is if you give people the information, right, that they can, you know, get similar data sets. So I mean, an an example that, you know, comes to mind is if you’re doing some kind of classifier for x rays on a wrist, right? Like, you know, maybe you can’t share the actual x rays, but you could say, you know, I trained it on 10,000 X rays of, you know, this type of demographic taken from this angle, you know, you know, in this way, right? And that would be uh you know, something that would probably give, you know, be, be able to train a system with similar um you know, capabilities.

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