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Ben Garside

Sep 14, 2026

29:43
Ben?
29:43
And just to add to that, I think, you know, going back to what we were saying about what's a knowledge that teachers need about AI literacy, and I think I completely echo Emma's comments of not much at all.
29:53
I think even starting, a good starting point could be just find out where, you know, AI technologies are being applied in your subject domain and have that conversation.
30:01
Show that to students and show them how, how great that is.
30:04
Um, the flip side, of course, as you mentioned there, is the fact that students, a lot of students are using AI, and it might be either from a skeptical they don't want to use it or they want to use it as a, as a shortcut.
30:15
We're doing some work around trying to create some resources that show students how they can use it really proactively and, and not to use it to outsource their learning, but to use it to support their learning.
30:26
Um, because I think naturally as human beings, you know, it's very easy to say, "Oh, cool, there's a tool here that can just do my homework for me.
34:23
That's great.
DanHOST
6:34
Well, who would our two adversaries be here and how are they combining to create a deepfake?
6:39
So in relation to deepfakes, GANs have these two adversaries and one of them is called the generator and one of them is called the discriminator.
6:47
Now, the generator will start off by generating a completely random image.
6:51
I mean, unrecognizable from anything, just a bunch of pixels, not at all like the person we're trying to recreate.
6:57
Now, that image is then sent to the discriminator.
6:59
Now, the purpose or function of the discriminator part of the algorithm is to compare that image that's been generated by the generator with all the other data it has in its training data.
7:08
And if it doesn't look anything like the person we're trying to recreate, then the discriminator will send that back to the generator with a bit of feedback saying, no, it looks nothing like what we want and try again.

9 MINS LATER

MichaelHOST
16:36
um but don't worry if you don't have a deep fake detector at home uh ben has some good advice for you on how you can stay vigilant online and tell what's real and what's not

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