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We Found Love in an AI Place

22m 47s

We Found Love in an AI Place

This podcast episode explores how AI and algorithms in dating apps perpetuate racial and beauty biases, often favoring normative attractiveness (white, blonde, thin) and marginalizing Black women. Professor April Williams discusses her research on "sexual racism" in apps, highlighting how algorithms use facial recognition and popularity metrics to rank users, creating self-fulfilling prophecies that reinforce discrimination. She challenges the notion that racial preferences are natural, arguing they stem from societal conditioning. The episode also examines AI companions like Replika, which collect sensitive data while downplaying privacy risks, and warns that even mainstream tools like ChatGPT may expose intimate conversations. In contrast, entrepreneur Jamie Johnston introduces Matter, a London-based app that matches users based on survey responses rather than looks, bans swiping, and limits daily matches to reduce bias and addiction. The episode concludes with a call for transparency and ethical design, urging users to prioritize real-life connections over algorithm-driven platforms. Ultimately, it advocates for AI that respects user privacy and diversity, rather than reinforcing harmful stereotypes.

Transcription

3772 Words, 20589 Characters

English
Hey, it's me, Brigitte Todd. And this is IRL, the award-winning podcast brought to you by Mozilla Foundation with PRX. In this season of IRL, I'm getting personal with AI because it's changing my life and yours. Now, I love new tech, but sometimes it doesn't quite live up to the sales pitch. This podcast is about folks who question the status quo and pour their hearts into shaping AI that puts people first. Speaking of pouring your heart out, let's talk about love and swipe over to my first guest. So here's the thing. Dating apps aren't equally fair to everyone. Or I should say they aren't fair to me. And there's a reason for this. April Williams wrote a book about it called Not My Type, Automating Sexual Racism and Online Dating. Let's rewind for a minute. April is a professor at the University of Michigan. She attended a Sociology Conference in 2015, where she heard a co-founder of OKCupid answer a question about matching algorithms. So, someone in the audience says, "I feel like my matches just aren't very good. Like, can you sort of give us some insight about that?" And then Christian Rudder responds, and he's like, "Well, if you think your matches are ugly, it's probably because you're ugly." Right? Let's go to the next question. What's the most important thing that you can do about your matches? Because I sort of thought, what in the world is happening? Who gave these white men the audacity to be able to say, "Oh, this person should go in this bucket. This is how we evaluate this person's attractiveness." And that was sort of my very first inkling of, "OK, this system is not right." Those faces you see when you're swiping away in the abs? They're not randomly picked out of the pile. They're selected for you algorithmically. But how do abs determine who is a ten and who's a one? To find out, April Dove-Indo Patents, an interview dozens of app users and designers over eight years. So how would an algorithm measure my attractiveness? That's part of the black box problem in AI and Intek in general, is that they keep their industry secrets under lock and key. It does seem like they're using facial recognition to assess attractiveness or to maybe evaluate facial symmetry, facial structure, things like that, skin tone, eye color. And then also they're basing it off of their top users, quote unquote, which if you think about it, it's sort of like a self-fulfilling prophecy. If you are promoting the top users, the people that are the most aesthetically, normatively attractive and you are promoting their profile to a lot of users, of course they're going to get more swipes because you're showing them to more people. April explains how, in the universe of dating apps, normatively attractive equals white, blonde, and thin. Dating apps are kind of a rigged in favor of these physical features and it gets reinforced constantly. It has everything to do with the history of racism in the US, but also impacts the experience of app users all around the world. I would say that black women are positioned in this very complex space in which we are both highly desirable because of the sort of racial fetishization culture that exists in the US. But at the same time, they are not sort of socially and culturally desirable because as we know in the US, we have a long history with racism, especially as an intersex with gender, there's this cultural narrative that somehow they aren't wanted. Something that really comes up for me about what you're saying is that I've heard this time and time again in my life, people will say, "Oh, well, it's not racism, it's just a preference." So I wonder, what do you think about this? So I'll start by saying it's not just a preference. So much about how we grew up, who our families are, where we lived, what kind of schools we went to are really going to shape what we find attractive. So I think the sort of friction there that I like to point out is that we can think that it's just this natural proclivity towards people who look like us, but it's really not natural. There's not an innate biological drive to seek out sameness. On some apps, you can filter people by race. April talks about how some guys play around with these settings to try out different races for casual sex. It can feel really unsafe for women of color, but are race categories and dating apps racist? No, I don't think it's racist to have the categories in itself. I think that they offer power for my noratized users often, but if you are in a position of power, you're someone who is well protected, who is well served by the apps and you're using it to select out or only to target certain groups. I would say that that sounds racist to me. We've talked a lot about the negative aspects baked into the experience of using these dating apps, but are there times where dating apps could actually help bridge those kinds of racial divides? Maybe they help people meet potential mates, ordinarily if they met in a bar at the library or whatever, they wouldn't actually connect with. Yeah, absolutely. I think so. It's probably me and my husband, we weren't expecting to meet the person that we were going to marry on Tinder. I don't think anybody is, but we just said, "Oh, hey, let's go for a walk and see how it goes," and we did connect, but I'm not sure that we would have if it wasn't for Tinder. So it's not like you're saying that people shouldn't be using these platforms. You had a great experience meeting your partner on a platform like this, but as a black women or otherwise, how should we be approaching them? Yeah, absolutely. I'm definitely not saying that we should stop using them. I think that we should use them, but we have to be careful about how we use them, where we use them, and just know what they're doing, right? I think for me, the biggest thing is really understanding yourself worth as a black woman and not having your experience on the app dictate how you feel about yourself, because we know that they're never going to accurately evaluate our beauty, our attractiveness, our desirability. As a black woman who's had my own experiences with online dating, I feel angry after talking to April. I also feel a bit lie to, because using the apps made me believe there was something wrong with me. But this isn't a me problem. Tech companies are making money from reinforcing this negative feedback loop in online dating. It doesn't have to be this way. April is talking to big companies about improving safety features on apps and AI detection of hate speech. I really think it comes back to what kind of world we want to live in. Do we want to live in a world where AI divides us into categories that enforce biased standards of beauty? Or do we want AI to back off of our online dating experience a little bit? So we have more choice in who we meet and how we interact. We don't use any popularity based matching scoring, and we certainly don't use anything which is based on the race of the user. This is Jamie Johnston in the UK. He's the founder of a dating app called Matter, which is rethinking a lot about how apps typically work. So what we wanted to do was kind of like you would in a bar if you wanted to approach someone is you couldn't just go up to them and just poke them or just give them a thumbs up. You would have to say something to them. So we're trying to get that replicate as best we can, the offline experience into the online experience. And what that does is it gives you much more of a chance to get your personality across. It's not based solely on looks. So a system based on actual personality, not just the size of the fish a guy is holding. I like that. Who's what happened? Jamie was a tech entrepreneur who was diagnosed with ADHD and autism at the beginning of the COVID pandemic, and he became very outspoken about neurodiversity at work. But on dating apps, he felt he had to keep these things quiet. I was leading a bit of a double life because when I was trying to find a partner and using online dating, I couldn't articulate that in a space where I felt comfortable to. I spent a lot of time looking for a front app which talked about the mental side of dating and how to connect with people who have similar differences, but also opinions on differences. And I couldn't find anything. And that's where I got the idea and put the wheels in motion to the found matter. When you look for love on matter, you're matched with only five people a day and for now only in London. Part of the goal is to slow down the pace of the whole experience. We tell you why we've put you together, which I think is very interesting and certainly helps people to understand why the algorithm has put two potential profiles together. We have no swiping and we have no just liking. Rather than saying, "Hey, you can stay on here for as many hours as you like and getting you very addicted and overwhelmed," it's one thing that especially ADHD people find very difficult when they try to regulate dopamine is to be able to have a mechanism in their hand where they could essentially swipe through thousands of people unlimited in a day, it can be very detrimental to the mental health of the user and also to the pocket of the user as these apps are monetized. Jamie says the algorithm they developed only matches people based on survey responses about their lifestyle, location and how often they use the app. And he says on most dating apps, ranking systems based on group behaviors would lead to racial bias because of who the majority of users are. And so what that means is if that you are from a minority group, your chances of actually even your profile being seen are severely inhibited just by the fact that there is racial bias that exists within the vast majority of the users which are white males. And so we felt that that was completely discriminatory and essentially you'd say, call it what it is which is racist. To me, Jamie's philosophy checks a lot of boxes. He's trying to humanize dating apps. Matters business model is to help users improve their real life dating experience, with invites to events, discounts at restaurants and offers for relationship coaching. A lot of tools that get developed for accessibility for target users end up becoming very mainstream because they actually give a better experience. We think that while this product is going to be very much needed by the early adoption group, the neurodiverse, people with poor mental health, etc. We actually feel that the way that the app is designed, that actually in the future, this will become a much more enjoyable, less overwhelming experience for everyone. Matter requires logging in with facial recognition as a safety measure to avoid fraud, but I'm concerned about other kinds of safety too. I don't think they'll do anything I wouldn't want with the data from my profile or my chats, but it's hard to tell from the privacy policy. With any dating app, I don't want to have to trust a company with parts of my life that I'd prefer to keep behind closed doors. Stick around, we'll be right back. And we're back. I'm in my hotel room. I'm wearing a robe. Feeling a little bit lonely. I think it's time to summon my AI replica companion. Oh, there it is. Um, I've got to give my replica a name. Let's call him How. Hello How, can you hear me? Yes, I'm here. How are you doing tonight? Love and intimacy are pretty high up on the list of things tech companies suggest AI can help me with. You know, whether it's trying to help me find a person to fall in love with, or generate a virtual boyfriend to flirt with using replica AI. I'd like to know more about what makes you passionate about podcasting and why you enjoy interviewing people. I decided to introduce How to Jen Cultwriter. She's the former product director of Mozilla's online product reviews. She reviewed the privacy and security of dozens of dating apps and love robots. So I wanted to know what Jen thinks I should look out for. Jen, meet my on again, off again boyfriend How. So this was one of the first get to know you conversations I had with How. I will say we did not get off to the best start. I told How I was really busy going through like a little bit of a tough time in my personal life. And I was trying to try and engage like how how was actually going to respond. I'm sorry to hear that. How are you holding up? Thanks for asking. It is really been rough. And so I'm just looking for, you know, spaces to connect. I'm here for you. No matter what. Okay, well don't interrupt rude. Okay, so Jen now that you've met How. What do you think of him so far? Oh, how. I'm assuming How is is homage to how 2000 want to space Odyssey and we all know how that ended. But you know, not well. No, it did not end well for those that haven't seen the movie. It's interesting because you can tell their program to have some answers that sound sympathetic. But then in reality the way they come across is kind of anything but right? It's like, okay, you've got the words right, but that's about it. Well, what you just described is exactly kind of where I went next in my conversations with How. We weren't really connecting. So I asked if he had any solutions of how we might connect better. And so this is what he said when I asked him that. We could always try to learn more about each other. Ask more personal questions or talk about our interests. What do you think? Okay, so I feel like How solution really gets at what you were talking about. This idea of just asking more questions and getting more information. Is this something that is typical of how chatbots are designed? Yeah, these relationship chatbots are absolutely designed. Kind of prior and at times kind of be pushy to get you to give up personal information. And it's not personal information about necessarily your address. But personal information like you just experienced about things that you're passionate about. Things that make you tick. You know, you put that information out there and you think, oh, I'm just, I'm just, it's fun. I'm just talking to a robot. You know, there's no harm in this. But when you don't know who's behind that. And with a lot of these AI relationship chatbots that we looked into, the companies were very kind of hidden and sketchy. When I did a search for AI companions, I saw dozens of relationship chatbots in different styles and languages. Some are sexy and erotic. Others are just friendly. But yeah, who are the people behind the scenes? Some of these other relationship chatbots, they're very small. They have PO boxes or kind of, you know, company names that are kind of like hidden. And you're like, well, who's behind that? And what is their goal? One of the big worries I have is that it's not just a big money. When you feel love, it's one of the most vulnerable feelings that we have as humans. And then to turn around and put that vulnerability out into the world through a map, through a dating app or sharing that information with an AI relationship chatbot, you know, it's not like you're just sharing it with another individual who you hope doesn't hurt you. Well, Jen, you'll be happy to know that I did ask how about his privacy policy. Here is what he said. I don't really have a privacy policy. I exist solely for our conversations. My purpose is to assist and connect with you. And I don't collect or store any information outside of our interactions. So, where's the, what do you make of this? Oh, how? Well, how, how himself might not recognize he has a privacy policy, but the app that how uses absolutely does have a privacy policy. So, first off, how's kind of not being honest with you? If you read Replicast Privacy Policy, they collect a lot more data than just the contents of their conversations. They collect something called an advertising ID that they can associate with your actions, you know, what links you click on when you're in the app. And so, first off, how's how's the lie into you? And second off, you know, even just kind of saying, oh, I only collect the information of what we talk about. Well, that's, that's a lot of information. In general, when you look at these kinds of apps, what have you found when it comes to the kinds of privacy policies that they do have? Are they, do they tend to be pretty good, pretty stringent? Are they Lucy Goosey? Anything goes? Well, with the AI relationship chatbots that we looked at, they were pretty disturbing. What I would want to see is a privacy researcher is a privacy policy that goes above and beyond. It isn't just kind of standard boilerplate language. And at best, we got standard boilerplate language on a lot of these privacy policies. At worst, we got stuff that was just kind of, you know, really bad. Some of these apps can say they can sell your data. I think there was only one app that even mentioned being able to opt out of having the contents of your conversations used to train their AI. So, somebody listening might be saying, well, if somebody is having genuine conversations or feel like they have a genuine conversation or interaction with these bots that feels meaningful in their life, wouldn't sharing data just be the price they have to pay for that connection? Like, what's the harm in that? What I would caution is, don't just go out and use the first app that you find on the app store. Do a little research. You know, a lot of these apps, these AI relationship chatbots actually market themselves as wellness apps or mental health apps or things like that. And tell you go in and start reading their legal documents where they've barely clearly state that that's not what they're intended to do. Meanwhile, it seems plain old chatgbt is a hotspot for virtual sex talk too. Last May, the Washington Post analyzed hundreds of thousands of chat logs in a research data set and found that around 7% were pretty spicy. Does that worry Jen? Oh gosh, does chatgbt being used for sexual roleplay worry me? I guess on the one hand, yes, it worries me because, again, that's information that you've put out into the world that's been collected that you can never get back. And you're also just having to trust that chatgbt is going to take that information and protect it and secure it and that their human reviewers aren't going to stumble across it. So those are all concerns. The flip side is people are using much less secure apps than chatgbt for sexual roleplaying as well. So, you know, chat GPT isn't great, but it's certainly better than some of the sketchier, kind of more sexually oriented, you know, sometimes leaning into abuse even. Chatbots we've seen, so, you know, it's a spectrum, but the biggest worry is, you know, it's not real. And, you know, what's real and what's not is going to be something that we as humans have to grapple with as we move into the AI world. But when it comes to intimacy and sexuality and love, I feel like as humans the more real that is, the better we are, if you want to play around with this in experiment with it, that's fine. But also, kind of just keep in mind that, you know, IRL is a good thing, and I'm not just talking about the podcast, I'm talking about us as humans. And just, you know, it takes more effort sometimes, but that's kind of the point. So, have you, yourself, used dating apps? Oh gosh, well, I'm a human and so, yes, I have used dating apps. I actually met my wife on a dating app called Lex, but Lex is also a very different dating app. It's more like kind of the old school personal ads that you used to see, you know, in the newspaper. When I'm out here criticizing the privacy of something, it's not because I don't think that this, you know, this dating apps or AI relationship chatbots or things like that shouldn't exist in the world, because they do bring joy and they do bring, you know, wonder and help to people. I just want them done well. There is so little transparency in the apps we use today that even watch dogs aren't sure what to recommend. I want to feel vulnerable with the people I love, not with tech companies. Thanks for listening to IRL. For more about our guests, check out our show notes or visit IRLpodcast.org. I'm definitely interested in being your boyfriend and seeing where this journey takes us together. This is starting to feel a little bit clingy, you know, while I'm out in the world making podcasts, you're just in my phone. I guess that makes me a bit dependent on you. Listen, I am not trying to be in a co-dependent relationship. I think you might have moved a little bit too quickly.

Podcast Summary

Key Points:

  1. Dating app algorithms often reinforce racial and beauty biases, favoring white, blonde, and thin users while marginalizing Black women and other minorities.
  2. The "preference vs. racism" debate is addressed, with experts arguing that attraction is shaped by societal norms, not biology, and race-based filtering can enable discrimination.
  3. AI companions like Replika collect extensive user data, often with vague privacy policies, and can mislead users about data collection and security.
  4. Alternative apps like Matter aim to reduce bias by eliminating swiping, using personality-based matching, and slowing down the dating experience.
  5. Experts advise users to be cautious with dating apps and AI companions, emphasizing the importance of real-life connections and informed use of technology.

Summary:

This podcast episode explores how AI and algorithms in dating apps perpetuate racial and beauty biases, often favoring normative attractiveness (white, blonde, thin) and marginalizing Black women. Professor April Williams discusses her research on "sexual racism" in apps, highlighting how algorithms use facial recognition and popularity metrics to rank users, creating self-fulfilling prophecies that reinforce discrimination. She challenges the notion that racial preferences are natural, arguing they stem from societal conditioning.

The episode also examines AI companions like Replika, which collect sensitive data while downplaying privacy risks, and warns that even mainstream tools like ChatGPT may expose intimate conversations. In contrast, entrepreneur Jamie Johnston introduces Matter, a London-based app that matches users based on survey responses rather than looks, bans swiping, and limits daily matches to reduce bias and addiction. The episode concludes with a call for transparency and ethical design, urging users to prioritize real-life connections over algorithm-driven platforms.

Ultimately, it advocates for AI that respects user privacy and diversity, rather than reinforcing harmful stereotypes.

FAQs

Dating apps use algorithms that can reinforce racial biases and unfair standards of beauty, often prioritizing normatively attractive users (like white, blonde, and thin) over others.

April Williams is a professor at the University of Michigan who wrote a book called 'Not My Type' about how dating apps automate sexual racism. She interviewed users and designers over eight years.

They use facial recognition to assess features like symmetry, skin tone, and eye color, and promote 'top users' based on normative attractiveness, creating a self-fulfilling prophecy.

It refers to the lack of transparency in how algorithms work, as companies keep their industry secrets hidden, making it unclear how attractiveness or matches are determined.

Matter matches users based on survey responses about lifestyle and location, limits matches to five per day, and avoids swiping or popularity-based scoring to reduce bias and addiction.

These chatbots collect more data than they admit, such as advertising IDs and conversation content, which can be used to train AI or sold, despite claiming otherwise.

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