label

algorithms

Linked to 4 items

• from: Hotline_on_AI (pad)

  AHNJILI: Sure. I’m Ahnjili. I’m currently based in The Hague. I just submitted my PhD thesis a few weeks ago, and my research focused on experimenthow to develop clinical biomarkers using smartphone and wearable data. So basically, I would analyze remotely collected data, use AIAI to identify a few key characteristics, and then estimate how depressed you were. Since then, I got a new job as a machine learning engineer, and I work for a plastic surgeon. So I basically AIuse AI to show people what they would look like post-surgery, which has been a great deal of fun. My last chapter is actually I work as an AI artist. algorithmsI like to take typical AI algorithms or AI-driven surveillance technologies and repurpose them for very strange scenarios just to highlight or question when and where and why should we use these technologies? One project in particular that I’m working on is called fashion police drones in which we use AI to identify fashion criminals. Yep, that’s it for me. Exciting. Thanks.

• from: Hotline_on_AI (pad)

  AHNJILI: Yeah. I would say that it’s one of, let’s say the baby steps within AI. Um, so basically, algorithmswithin a neural network, you'll have an algorithm like a linear regression. And then if you want to create a deep learning model, then you pair up multiple neural networks together to get your…

• from: Hotline_on_AI (pad)

  AHNJILI: Yeah, I think this is actually a very good approach because… I mean for people who are actually people of color who are using these algorithms it’s important to show these examples in public spaces to make people aware about what the flaws are of these algorithms. Uh, so especially for me, I’m a great test for a lot of computer vision algorithms. So, I’m half Jamaican, half Chinese and whenever I do these like demographic recognition algorithms, I always come out as like a 18 year old Asian male, which I don’t think I look like at all. But unfortunately in terms of, yeah how do you counteract these large scale algorithms that are actually being used or applications? I actually, I still don’t have a good answer for that because, for one lots of money is involved, people have invested in these systems. Uh, and then two, companies are always trying to show off how accurate their, algorithms are and if people aren’t there to say, “oh, no, actually they’re sugarcoating it, there’s no way to argue against their algorithms. And I just wanted to make another little point to say that maybe it’s a bit controversial, but algorithmsI think not improving the algorithms and also highlighting how inaccurate they are, especially for different populations of people is actually a good thing because then we actually have a great argument to say, we shouldn't implement these at all. Because a lot of companies are saying "oh, you know, maybe our let's say Amazon recognition algorithm, doesn't do great with certain demographics now we have a good reason to collect even more data from people. And then, you know, then optimize our algorithms so we can sell it for more". A good example of this is actually in China. So, you know, China was like, "Hey US, we hear your complaints about computer recognition algorithms being inaccurate for certain populations. So we contacted the government in Zimbabwe and we said, can you just give us like a hundred thousand images of people from your country and then we'll basically make the best demographic recognition algorithm for people from Zimbabwe". Oh, and I think in exchange Zimbabwe got like a free facial recognition algorithm for their government CCTV cameras.

• from: Hotline_on_AI (pad)

  AHNJILI: Yeah, exactly. So I feel… Yeah. I also don’t… Like, if you were to ask me to visually represent what AI means to me, I don’t know, it’s just a computer screen, essentially. So I don’t know what an appropriate term would be for what it actually encompasses, but stochastic parrot I think is also insufficient now. Because, algorithmsif anyone is aware of how transformers work, I mean, the algorithm that underlies ChatGPT. I mean, for me, it looks like a multi-headed dragon basically with each head....