Are Ring Cameras Keeping Us Safe—or Building a Surveillance Network?
Ring’s Search Party can help reunite families with lost pets. But what happens when every porch camera becomes part of an AI-powered surveillance network?
Ring cameras can help communities locate missing pets, document crimes, respond to severe weather, and provide valuable video evidence. But when individual doorbell cameras become part of an AI-powered neighborhood network, the same technology can also create serious questions about privacy, police access, data collection, and mass surveillance.
In this episode of Network Issues, media scholar Jamie Cohen and marketing strategist Destinee Day examine Ring’s Search Party technology and the increasingly blurry boundary between community protection and surveillance infrastructure.
When a Lost-Dog Story Becomes a Surveillance Debate
The conversation begins with a genuinely positive story.
After two hunting dogs escaped in rural Arkansas, their owner sent an alert through the local Ring network. A neighbor received the notification, saw the dogs appear on her camera shortly afterward, and helped reconnect them with their owner.
It is an example of neighborhood technology working exactly as people hope it will: a community receives an alert, nearby cameras provide useful information, and a family gets its dogs back safely.
But Ring’s Search Party advertising introduces a more complicated idea. The technology can activate a network of participating cameras and use AI recognition to search for a missing dog. The phrase that changes the tone of the conversation is simple: “It turns on all the cameras.”
That capability may be helpful when the network is searching for a lost pet. It becomes more unsettling when we ask what—or who—the network could eventually be trained to identify.
What Is Ring’s Search Party Technology?
Ring’s Search Party is presented as a way to use participating neighborhood cameras and computer-vision technology to help locate missing dogs.
Instead of relying only on individual residents to recognize an animal, an interconnected camera network can potentially analyze footage from multiple locations. That creates a faster and more coordinated search system.
It also demonstrates how easily privately owned cameras can become shared surveillance infrastructure.
The central issue is not simply whether the technology can do something beneficial. It is whether the companies operating these systems can be trusted to limit how the cameras, recognition tools, and resulting data are used.
Are Ring Cameras a Form of Mass Surveillance?
An individual Ring camera watches a limited physical area, such as a porch, driveway, or front yard. A connected network of cameras can create something much larger: a distributed view of streets, neighborhoods, people, vehicles, deliveries, animals, and everyday behavior.
That does not automatically make every Ring camera harmful. It does mean the system should be understood as more than a digital doorbell.
When cameras are combined with neighborhood alerts, cloud storage, AI recognition, law-enforcement requests, and corporate data systems, they can become part of a broader surveillance network.
The risk increases when people do not fully understand:
When a camera is recording
What information is being collected
How long footage is stored
Who can request or access it
Whether the footage is used to train recognition systems
How one form of recognition may eventually be expanded into another
The technology may begin with a narrow and popular use case, such as finding lost dogs. The unresolved question is where that use case ends.
How Social Media and Smart Cameras Extract Data
Jamie connects Ring cameras to a larger feature of the modern internet: extractive technology.
Social media platforms collect behavioral information through scrolling, clicking, watching, searching, sharing, and pausing. Smart cameras extend that data collection into physical space. They can capture how people move and behave outside the controlled environment of a social media profile.
That footage can be particularly valuable because it may record what Jamie describes as more “authentic” behavior—how people act when they are not consciously performing for an audience.
This is why the Ring debate is also a data-privacy debate. The concern is not only that a camera can see someone. It is that the resulting footage may become part of a much larger system of analysis, recognition, prediction, or commercial use.
Citizen, Real-Time Crime and Digital Disaster Tourism
The episode also examines the Citizen app, which provides real-time information about crimes, emergencies, fires, shootings, and other incidents.
That information can help people understand what is happening nearby. It can also encourage users to watch tragedies unfolding in communities that have no direct connection to them.
Destinee describes this as a form of digital disaster tourism: observing another community’s crisis remotely, in real time, through alerts and user-generated footage.
True-crime content usually creates some distance between an event and its audience. Real-time disaster watching removes much of that distance. People are no longer learning about an incident after it happened; they may be watching, reacting to, and sharing it while those involved are still experiencing it.
When Surveillance Becomes Entertainment
Ring has also been used as an entertainment format.
The short-lived program Ring Nation repackaged doorbell footage into a version of an amusing home-video show. Jack Harlow’s “Hello Miss Johnson” music video similarly used the visual language of Ring and other surveillance cameras to tell a playful story.
These projects make surveillance footage feel familiar, funny, intimate, and harmless.
That familiarity matters. When people repeatedly encounter security-camera footage as entertainment, surveillance becomes normalized as a standard way to view other people. The camera is no longer simply a security tool. It becomes a storytelling device through which everyday life is recorded, shared, monetized, and consumed.
Where Does AI Recognition Training Data Come From?
AI recognition systems require data.
A system that can recognize a missing dog has to be trained on images, movements, shapes, and other identifying information. More advanced systems that recognize people, bodies, vehicles, or behavior require even larger and more varied datasets.
The episode connects this issue to autonomous drones and other AI systems capable of making increasingly consequential decisions.
Ring cameras are not the same technology as autonomous weapons. The connection is that both depend on computer vision, recognition, classification, and training data. A benign consumer application can help normalize and improve the technical infrastructure later used in more powerful systems.
That makes the source, ownership, governance, and future use of camera data an important public question.
Can Ring Camera Footage Help Solve Crimes?
Yes. Security-camera footage can provide valuable evidence.
Destinee notes that one of the first steps in many homicide investigations is to canvass the surrounding area for cameras. Footage may establish a timeline, identify a vehicle, document a suspect’s movements, corroborate testimony, or show what happened without forcing a witness to take personal responsibility for reporting a neighbor.
Video evidence can be particularly important when victims or witnesses are likely to be dismissed, disbelieved, or affected by institutional bias.
But footage is not automatically complete or neutral. A camera records a particular angle, during a particular period, without necessarily showing what happened before or after the recorded event. Its value depends on how it is collected, authenticated, interpreted, and used.
The benefit of video evidence does not erase the need for privacy protections and legal safeguards.
Can Police Access Ring Camera Footage?
Ring footage can become relevant to law-enforcement investigations through voluntary sharing, requests, warrants, subpoenas, or other legal procedures, depending on the circumstances and jurisdiction.
This creates a difficult balance. Camera networks may help solve violent crimes and establish accountability. They may also expand law-enforcement visibility into private neighborhoods and everyday behavior.
The central policy questions include:
What standard should police meet before obtaining footage?
Should residents be notified when their footage is requested?
How much footage should a request cover?
Should a request include recordings of people who are not suspected of a crime?
How long should companies retain footage?
Should footage collected for security be used for AI training?
What happens when a private company controls evidence used in public criminal investigations?
These questions cannot be answered through technology alone. They require laws, enforceable privacy rules, transparent company policies, and meaningful public oversight.
The Real Question: Can Amazon Be Trusted With the Network?
The episode ultimately distinguishes between the possible benefits of camera technology and the companies controlling it.
A neighborhood camera may help find a missing dog. A recording may help establish what happened during a crime. An alert may help a community respond to a tornado or locate a missing child.
The larger concern is whether Amazon and other technology companies should have the power to connect those cameras, analyze the footage, develop recognition tools, establish access policies, and determine how the resulting data may be used in the future.
The technology is not purely good or purely harmful. Its consequences depend on who controls it, what limitations exist, and whether those limitations can actually be enforced.
Key Takeaways
Ring cameras can provide genuine safety benefits, including locating missing animals and supplying evidence after a crime.
Connected cameras can also create a privately controlled neighborhood surveillance network.
AI recognition raises questions about training data, expansion into new use cases, and who is ultimately being identified.
Apps such as Citizen can turn public emergencies into real-time digital entertainment.
Surveillance becomes easier to accept when it is presented through humor, music, advertising, and feel-good stories.
Video evidence can support accountability, especially when witnesses or victims face bias.
Better privacy, data-retention, transparency, and law-enforcement access rules could change the surveillance debate.
The most important question is not only what the technology can do, but whether the organizations controlling it can be trusted.
Questions Answered in This Episode
Are Ring cameras good for public safety?
Ring cameras can help document crimes, locate missing pets, identify vehicles, respond to emergencies, and provide evidence. Their safety value depends on how footage is stored, shared, analyzed, and governed.
Are Ring cameras a privacy risk?
They can be. A single camera has a limited view, but connected camera networks can collect detailed information about people and activity across a neighborhood. Privacy risks grow when users do not understand who can access the footage or how the data may be reused.
What is Ring Search Party?
Search Party is a Ring feature presented as a way to use participating cameras and AI recognition to help identify and locate missing dogs.
Can police obtain footage from a Ring camera?
Ring footage may be voluntarily shared or obtained through applicable legal processes. The exact process depends on the request, company policy, local law, and jurisdiction.
Why is AI recognition controversial?
Recognition tools require large amounts of training data and may eventually be applied beyond their original purpose. Concerns include accuracy, bias, consent, misidentification, surveillance expansion, and the use of data collected for one reason to serve another.
Is video evidence always reliable?
Video can be powerful evidence, but it is not automatically complete or neutral. Camera angle, missing context, image quality, editing, timestamps, and interpretation can all affect what a recording appears to show.
Episode Chapters
00:00 — A feel-good story about lost dogs and the Ring network
Destinee shares how a neighborhood alert and a nearby Ring camera helped reunite two hunting dogs with their owner.
01:26 — How Ring neighborhood alerts work
The hosts discuss missing-person alerts, severe-weather warnings, suspicious activity, and community calls to action.
02:00 — Ring Search Party and the commercial that changes the tone
A positive use case introduces a much broader AI camera network.
02:58 — “It turns on all the cameras”
Jamie explains why that phrase transforms the feature from comforting to unsettling.
04:01 — When helpful technology becomes surveillance infrastructure
The discussion moves from lost pets to connected cameras, recognition systems, and corporate power.
05:00 — Social media, privacy and extractive technology
Jamie connects physical camera networks with the data-extraction systems behind social media.
06:23 — Citizen and real-time disaster watching
Destinee questions what happens when people remotely watch another community’s crisis unfold.
07:24 — Ring Nation and surveillance as entertainment
The hosts examine how doorbell footage becomes entertainment and encourages people to perform for cameras.
08:59 — What “authentic data” reveals
Camera systems can capture behavior from people who may not realize they are being observed.
09:30 — Jack Harlow makes surveillance feel cute
The “Hello Miss Johnson” music video uses Ring-style footage as a playful storytelling device.
10:30 — Autonomous drones, AI recognition and training data
The conversation expands into computer vision and the datasets used to train increasingly powerful systems.
12:51 — The helpful and terrifying sides of the same technology
The hosts consider whether safety and surveillance can ever be fully separated.
13:02 — Why criminal investigations rely on camera footage
Security recordings increasingly shape timelines, suspect identification, and accountability.
14:23 — Video evidence and women being believed
Jamie discusses how recordings can support people who may otherwise face bias or disbelief.
15:30 — Can Amazon be trusted with this power?
The debate turns from the camera itself to the corporation controlling the network and data.
16:15 — Why privacy regulation could change the conversation
The episode concludes with the need for clearer limits on data collection, retention, access, and reuse.
About the Hosts
Jamie Cohen
Jamie Cohen is a media scholar, professor, writer, and expert on internet culture, digital media, algorithms, online extremism, and media literacy.
Visit Jamie:jamesncohen.com
Destinee Day
Destinee Day is a marketing strategist and the founder of Rudy & Company. Her work focuses on communications, digital strategy, content, branding, and the real-world systems behind online visibility.
Visit Destinee:rudyandcompany.com
Continue the Conversation
Where should the line be drawn between a useful security camera and a neighborhood surveillance system? Does the value of finding missing pets and solving crimes justify the creation of a privately controlled camera network?
Follow Network Issues for more conversations about artificial intelligence, privacy, digital media, internet culture, algorithms, surveillance, and the systems shaping everyday life.
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Destinee (00:01.331) Hey Jamie, how are you?
Jamie Cohen (00:02.836) Hey, good. How are you?
Destinee (00:04.898) I want to tell you a a good story that happened a couple weeks ago. You were in Rome, so I didn't get to tell you. But as you know, I live in Arkansas, so hunting dogs are a very big deal here. people value them. Everyone, like, you know, you can go dove hunting and things like that. So hunting dogs are a big deal. but through we got this notification that went out over the ring camera network and it was this guy, his two hunting dogs had gotten loose and like was freaking out about it and asking anyone to help. It turns out that my neighbor saw that notification and then just like a minute or two later her ring camera went off and it was the dogs. And so she was able to connect the owner with sh they found the dogs and, you know, he was able to get them back unharmed. But I thought that was such a positive story and also sounds a little bit like a recent ad.
Jamie Cohen (01:04.334) Yeah. Did they that is first off, that's awesome. on one hand, it's awesome. That's fantastic. Cause I I can only assume there's a lot of land where you live where where if a dog gets loose, it's actually very possible to lose them. whereas I think in smaller communities people forget like dogs will be seen by other people, but like in a s in a wide spaced out area, it's probably hard. So did di this is though so what wait, first, what's the ring network? What is that? I don't I don't have a ring.
Destinee (01:33.182) The the the ring doorbell cameras? I
Jamie Cohen (01:36.588) Yeah, I know the doorbell cameras, but I didn't know what what is that what's the thing you're talking about? Like
Destinee (01:40.586) So you can sign up for like neighborhood alerts. And like a a few weeks before that, we had a a small child with disabilities got lost in like a holler somewhere. And so they were mobilizing the community to go and do walks through the woods to try and find the missing child. They ended up locating him. But you can do calls to action like that. You can send out an alert like, this person
Jamie Cohen (01:44.426) okay.
Destinee (02:09.906) was trying to get in my truck last night. You know, it can be cries for help or warnings either way. I also get severe weather alerts through them. So super helpful when we experience tornadoes. but the network's pretty cool.
Jamie Cohen (02:19.383) No kidding.
Jamie Cohen (02:26.016) Interesting. So did they use the so the ad you're I think you're referencing is Search Party, which is a technology that Ring, owned by Amazon, put out and this commercial, I think it was when did this commercial come out? Was it the Super Bowl commercial? I think it was. It was very popular Super Bowl commercial, I think, where nice, yeah.
Destinee (02:31.114) Mm-hmm.
Destinee (02:44.736) See, I have it up and ready to go because like the story.
Jamie Cohen (03:22.594) Okay, so that the original feeling I had of how happy I was, I forgot all about that commercial. So the original feeling just turned into like s I just got really like upset. So like and I think it was because there's a line in that commercial where he goes where it turns on all the cameras. And I think that terrifies me in a way that like I can't really conceptualize. So there's I think because the way so okay, I think There's been a lot of stories about the technology of this. Like Search Party, I didn't until I forgot what it was until you that the commercial was back up there, but it's it seems like Search Party is just a way of activating the entire network simultaneously. So then the AI recognition software turns on, identifies the dogs. and as of now, as I can understand, it's a dog-based product. Like it's designed that way. But I think even Ronan Farrell reported that that is for now. that in a meeting with investors, the guy who's on that camera, the the guy, this the founder guy said for now. He's basically like that's how we start this project and that's what we do with it. Yeah, so here's the the the clip, you know.
Destinee (04:32.36) He's muted, so you can keep talking. Jamie Cohen
(04:34.262) Okay, so he he basically goes in depth about like what this product is. And it's at like again, like I said, at first it seems nice, but then all of a sudden, like the idea of this simultaneously like really starts getting me like all weirded out. Now, you we've been talking about this for episodes upon episodes, and a lot of our critique about the on off system, the easy answers about what to do about people online, should we ban young people from the internet? Should we Find all these things. This is a big part of the conversation about privacy and surveillance because all of our technologies, possibly not this one, because we have to activate it as a poll system, but all of our social media technologies are extractive. The idea of the infinite scroll was designed specifically for time spent. And so extractive technologies are designed as surveillance technologies. They're designed to watch you wa doing something because it gains more data about you. So I always have this very big like. I think we're missing the point when we talk about social media bands because we're not talking about like the privacy restrictions that we should be talking about, or like regulations on our our personal data. And cameras, like whether they're face borne, doorbells, or whatever, seem like a good idea until they're not. And it's really the because they're not has less to do with the technology than it has to do with the history of technology itself. Because Typically the people who develop these technologies are white dudes. So we always forget. And we've talked about this on multiple episodes. It's not there's no reason to rehash that people could go back to our catalog and look at my whole criticisms, like what happens when you leave out women's voices or marginalized voices or black voices. Like you just get a technology that's not only incomplete, but actually sort of dangerous to them. particularly like women, let's say like technologies in which you're tracking your cycle. Like that that type of technology seems like a good idea until Restrictions on abortion bans come out where now that data could become litigious against somebody. Or like when the Xbox 360 came out and it couldn't see black skin. So like black people couldn't use it. And it's like, well, who developed that? Well, who do you think developed it? And so the problem, of course, like with Ring, isn't so much its altruistic idea of like saving your family, a dog is family, saving part of your family and making sure they're returned safely. It's about what else can it do?
Jamie Cohen (06:59.99) And I think the Ring Network thing you were talking about is kind of neat, but it also there's a lot of ring people and come correct me if I'm wrong that also engage with Citizen app. Like there's a whole bunch of other apps that are like partial to that, right?
Destinee (07:14.494) Yes, I have too many feelings on Citizen because small digression. my husband's a retired cop and he loves Citizen and he loved it when he was a cop and he loves it now. But the issue that I have with it now, not because I have I had different privacy issues when he was a cop, but Now is that he is so zoned in on whatever weird disaster is not happening around us. And I really just dislike that surveillance from afar on a disaster that is not impacting our community. And it kind of gives me an ick that is not I I'm not a fan. I get it, but I'm not a fan of us observing other communities' tragedies.
Jamie Cohen (07:58.825) interesting. Yeah.
Jamie Cohen (08:08.93) I never thought of that part at all. That's like sort of a weird surreal version of like disaster tourism that's like available by UGC. Interesting. That's a whole other thing. That's wow, it's a thought just a tangent. That's an amazing thought. I'd never thought of that. It's that's crazy.
Destinee (08:22.421) Sorry. Well, because you can see shootings and stuff like that. Like I'm a true crime junkie. I love cr true crime, but there's something about observing it in real time that feels like a privacy issue. I don't like it
Jamie Cohen (08:29.366) Yeah, you could see what's going on.
Jamie Cohen (08:40.556) Yeah, grim. what I know is that Citizen, and this is from actual studies, this is from real research. This also goes back to the time that Ring decided to make a product that was short-lived with Wanda Sykes as host called Ring Nation. Ring was deciding to do like an America's funniest videos reboot where you capture the funniest the funniest things you do. America. the funniest things you do on camera, like accidents, mishaps, fall down the stairs. on your ring camera and you submit it to the show and they just air it. but it was also like normalizing the idea of surveillance as primary, as your main camera. And I was it made people feel really icky. only because there's this whole like
Jamie Cohen (09:26.006) like minstrel type of thing for black people that go with this too, which is that one, for a while, I don't know if you remember, like, do you remember for a while people would leave notes on their door being like, if you do a dance, I'll, I'll, I'll leave leave you a tip or like this will happen. Like so there was like a whole bunch of Amazon workers. I'll just show a quick slide of that just so you could like see it. Like this is from a deca I did some time ago about surveillance. This is Some of the of some gifts of that. But you can actually see like here's some examples of like people kind of being forced to act for a camera that they're being surveilled for. And so that's like this weird. It's just weird. Yeah. It was the is the proper response there. so now like when I hear about the okay, we're looking for dogs, search party works, it it operates in an AI spectrum. Then you but the normalization of surveillance.
Destinee (10:09.472) Ew.
Jamie Cohen (10:25.238) Is kind of like the overarching goal, I think, of a lot of like tech of extractive technologies is how to gain data that we can't gain elsewhere. Because I think surveillance, especially ring camera surveillance, you're actually getting the rare piece of data that's what's known as authentic data, like how people act when they don't think they're being watched. You know, so there's there is extra data in that that I think is like the being an attempt to be monetized. There's another critique I have. There's the rapper Jack Harlow did an entire music video using ring cameras and the name of it is Hello Miss Johnson. Yeah. which is a cute video, but wildly disturbing.
Jamie Cohen (11:14.456) So here's the the cute parts of it, right? Which is like you see it seems low, but like neighborhood this is you see the multiple angles. The entire video, this entire video is shot on ring. Now some of it's choreographed, obviously, that's staged. The director stages these events to happen. Some of them are mimicked to be what really would be. But really it's a story about like Jack Harlow singing to his girlfriend's mom to try to explain like how good of a guy he is. But the whole thing is told via surveillance. It makes it seem palatable. Like you can't actually see people unless you see them as surveilled human beings. But it really is also about AI because the camera doesn't turn on without movement. So it does require you could stop the video here. The training data on that worries me because now I'm gonna take a huge leap on this, but there's something that there was an article that came out that really upset me that made me think of this more lately. and it's this article here.
Jamie Cohen (12:22.764) That was wild. Okay. Fully autonomous drones have killed human soldiers for the first time. And this is June 10th. Then this article appears. a senior figure in the Ukrainian defense industry told new scientists that a test place took place two years ago involving fully autonomous drones set to destroy anything in a given area with confirmed casualties. Okay, so I'm not gonna read the article more than that. But this is indifference to what we often see in wartime drone footage of an operator. Operating a a usually a large size drone to go and do reconnaissance missions, fly around, capture things, and sometimes carry munitions and blow up people, which is terrifying. Okay. Cause it's like you hear a buzzing sound in the air. And these aren't like the drones of the Obama era where they're like so high up you'll never ever see them. Like these are drones where you could actually hear them. They sound like what I call like spicy birds. You know, they're just like there. I call it that because my poor dog, Z, he's he hated he hated drones. When I'd fly, he tried to bite it and his no cord nose got clipped on him once. It was sad. yeah. He wanted that spicy bird. and had he had a talent for jumping, like he would have been a good for that. But anyway, in this case, the reason it could do drones can do these types of attacks is it's using facial recognition or body recognition, which means it's training it's getting training data from somewhere. Drones don't start killing people. That's the end part. Okay. So Somewhere is this original training data. And so what I always worry about when I see something like Search Party, which I think again, you started this with a beautiful story. I love the story of like somebody ringing United with their dogs. But what else is the capturing? Like if all the cameras are on simultaneously, you're actually in a very weird and amazing way creating a very immersive digital experience. Like, who's to say somewhere in some room, they're not Tony Starking it? With a huge room and just taking your entire neighborhood and projecting it on a wall. And you're now walking through that neighborhood. Like, do you remember? Were you on the trip when we went to Ireland and saw the cave? Did you see the cave, the smart town? Yeah. So that was so weird because people can do work digitally in a room while working in a town nearby because they're projecting that town into another box, a cave unit. I forgot what the cave stands for, but this could be cave.
Destinee (14:22.356) Yeah. Yeah.
Jamie Cohen (14:41.056) Matrix size, you know? So it's it is one of those things where it's like I I feel torn on this because there is a technology part which feels good, but it's attached to a technology part that feels really bad.
Destinee (14:54.144) Well, and to to hit a line that maybe goes right down the middle, I have been watching a lot of Homicide New Orleans, which is a new Netflix show, and the first forty-eight. And the first thing that they do in those investigations after they send a the body to the morgue is canvas for cameras. Constantly. That's the number one thing they do. And I mean, people can give it.
Jamie Cohen (15:17.742) Mm-hmm.
Destinee (15:24.074) Freely and willingly. I feel like a lot of a lot more people are doing that because then it's like, man, you did it in front of the camera. You can subpoena for camera footage, right? So, you know, a a court can make you hand that over. And then you can rat without having to be a rat. It's like, man, what do you want me to do? You know what I mean? you shouldn't have shot that guy. or girl. You know, there's a lot of women that get murdered on those shows. But That's both good and bad. It always makes me feel horrible for the victim because then that's getting played on the first 48 their last moments, which are horrible, but also that allow police to solve a crime. So it's it's good and bad. So I think this is one of those technologies that there's a lot of good and there's a lot of bad.
Jamie Cohen (16:03.32) Yeah.
Jamie Cohen (16:10.574) Uh-huh.
Jamie Cohen (16:20.758) Yeah.
Destinee (16:26.994) And I don't necessarily know if there's a way to make it there's a way to only make it bad, but like you know what I mean? I think your point is really important here because in many ways we've lacked over the course of decades hard evidence and data that prove things without a doubt. Video evidence is the most powerful evidence you could have. And it allows law to work better, if not more accurately. Then any time that we've had for witnesses, because witness failure is high. The highest problem that you can have in court is witness failure. Witnesses in general are unreliable. But having video data is the most important. And it is especially important for women in particular who are based on patriarch and bias, often dismissed. Women are often dismissed when they're asked questions, whereas video evidence supports the data. So you're right, like there is a middle line which is like the video technologies. Are there for a purpose? I think my problem that I have with this is Amazon. I think it just comes down to the system. I think it just comes down to like, can we trust these extractive CEOs to operate this right? And when somebody, like as Ronan Farrow reported, when a lot when a CEO says we start with dogs and then doesn't give an answer of what we end with, and you know for a fact that technology exists that allows AI to make autonomous decisions of life or death, they're not unrelated. You know, so it's like these types of things are that gray area that make me concerned for it. And so my overall hesitation towards surveillance of technologies in general overrides my safety things. But there is like there is a middle ground. It's just as with everything, the same thing when it comes back to like the the question of like banning the internet or not banning it, it comes down to if we had better privacy and data regulation, I think a lot of these conversations would change. And in the meantime I'm very happy to hear the dogs are reunited, but I think as long as we keep our skepticism of overall surveillance, I think we'll be okay with that.
Destinee (20:34.856) Yeah, I agree. I agree.
Jamie Cohen (20:47.506) Well thank you for watching. Well all right, first. Thank you, Destiny, for the for this conversation today about a technology that I think is developing. and thank you for watching and th network issue. Thank you for watching Network Issues and you can follow us on Instagram and YouTube and keep up with our episodes. You could subscribe to our playlist so you can keep up with new episodes. And thanks so much.