1 00:00:01,080 --> 00:00:06,200 Speaker 1: I want to thank every Amazon employee and every Amazon customer, 2 00:00:06,480 --> 00:00:12,440 Speaker 1: because you guys paid progress. You guys paid problems. This 3 00:00:12,600 --> 00:00:16,720 Speaker 1: is Megacorp, an investigative podcast exposing some of the world's 4 00:00:16,800 --> 00:00:23,759 Speaker 1: most unethical corporations. This series is about Amazon. I'm Jake Hanrahan, 5 00:00:24,200 --> 00:00:31,040 Speaker 1: journalists and documentary filmmaker. Megacorp is produced by H eleven 6 00:00:31,400 --> 00:00:42,280 Speaker 1: for cool Zone Media. So we've spoken about the awful 7 00:00:42,360 --> 00:00:46,559 Speaker 1: work conditions in the Amazon warehouses, the company's disregard for 8 00:00:46,600 --> 00:00:49,519 Speaker 1: health and safety, and we've also looked at how Amazon 9 00:00:49,640 --> 00:00:54,800 Speaker 1: manages to avoid paying millions of dollars in tax. Now, though, 10 00:00:54,920 --> 00:00:58,880 Speaker 1: we're going to move on to something different, because, as 11 00:00:58,920 --> 00:01:03,640 Speaker 1: I've mentioned, each step up the Amazon pyramid of facori, 12 00:01:04,240 --> 00:01:08,039 Speaker 1: there's a new scandal to be examined. In this episode, 13 00:01:08,200 --> 00:01:12,400 Speaker 1: we're going to be asking the question, is Amazon spying 14 00:01:12,440 --> 00:01:15,600 Speaker 1: on you? We know the government is, we know social 15 00:01:15,640 --> 00:01:19,120 Speaker 1: media is, we know Google is. But what about Amazon? 16 00:01:19,319 --> 00:01:23,440 Speaker 1: A company that, in its delusion, prides itself on being 17 00:01:23,480 --> 00:01:29,520 Speaker 1: the smiley, happy face of the consumer experience. Let's find out. First, 18 00:01:29,680 --> 00:01:34,600 Speaker 1: let's take a look at Amazon's range of smart speakers. Now, 19 00:01:34,600 --> 00:01:37,160 Speaker 1: if you don't know what a smart speaker is, consider 20 00:01:37,200 --> 00:01:42,720 Speaker 1: yourself lucky, but to explain. The smart speaker, sometimes referred 21 00:01:42,720 --> 00:01:47,480 Speaker 1: to as a home assistant, is an Internet enabled two 22 00:01:47,560 --> 00:01:52,760 Speaker 1: ways speaker system that basically replaces getting up and pressing 23 00:01:52,960 --> 00:01:56,440 Speaker 1: buttons in your home. For example, if you want to 24 00:01:56,480 --> 00:02:00,480 Speaker 1: search for something online, you can ask the smart speaker 25 00:02:00,560 --> 00:02:02,760 Speaker 1: to do it. If you don't want to just get 26 00:02:02,840 --> 00:02:05,400 Speaker 1: up and switch off the light, you can program the 27 00:02:05,560 --> 00:02:08,400 Speaker 1: smart speaker to do it on your command. Some of 28 00:02:08,400 --> 00:02:12,280 Speaker 1: the most advanced smart speakers can be programmed to basically 29 00:02:12,560 --> 00:02:15,840 Speaker 1: run your whole house for you. Amazon leads the global 30 00:02:15,919 --> 00:02:18,880 Speaker 1: market when it comes to smart speakers, but the start 31 00:02:18,919 --> 00:02:23,560 Speaker 1: of they'd sold a hundred million That sold sixteen point 32 00:02:23,720 --> 00:02:27,000 Speaker 1: five million smart speakers by the fourth quarter of twenty 33 00:02:27,440 --> 00:02:31,040 Speaker 1: and almost seventy of smart speaker users in the US 34 00:02:31,560 --> 00:02:35,960 Speaker 1: favor using the Amazon Echo. The Echo is their most 35 00:02:36,040 --> 00:02:42,320 Speaker 1: popular smart speaker. It's enabled with Alexa. Alexa is basically 36 00:02:42,360 --> 00:02:47,360 Speaker 1: the technology that makes Amazon's smart speakers work. Alexa is 37 00:02:47,440 --> 00:02:51,880 Speaker 1: a virtual assistant cloud technology that is able to learn 38 00:02:51,960 --> 00:02:54,520 Speaker 1: things as you use it in a more detailed way 39 00:02:54,520 --> 00:02:59,720 Speaker 1: of speaking, Alexa is a voice activated user interface that 40 00:02:59,800 --> 00:03:05,120 Speaker 1: you uses a combination of machine learning and artificial intelligence. 41 00:03:05,160 --> 00:03:08,600 Speaker 1: To function. It all sounds very futuristic, but it's here, 42 00:03:08,680 --> 00:03:12,600 Speaker 1: it's now, lots of people have it now. Personally, I 43 00:03:12,680 --> 00:03:14,680 Speaker 1: can be a bit of a luddy and I do 44 00:03:14,760 --> 00:03:18,160 Speaker 1: not understand why anyone would want such a device in 45 00:03:18,240 --> 00:03:21,800 Speaker 1: their house. However, as I just said that many many 46 00:03:22,040 --> 00:03:27,400 Speaker 1: people do, this is helping Alexa learn, yeah, literally learn. 47 00:03:27,840 --> 00:03:32,480 Speaker 1: The more commands Alexa receives, the more Alexa develops. In fact, 48 00:03:32,600 --> 00:03:36,320 Speaker 1: Alexa has learned one hundred thousand new skills since the 49 00:03:36,360 --> 00:03:41,480 Speaker 1: technology was first launched in November. So to sum up, 50 00:03:41,640 --> 00:03:46,480 Speaker 1: through the Amazon Echo and its utilization of Alexa, Amazon 51 00:03:46,680 --> 00:03:50,360 Speaker 1: has a reach into hundreds of millions of homes across 52 00:03:50,400 --> 00:03:54,120 Speaker 1: the world. So you'd really hope, for the sake of 53 00:03:54,480 --> 00:03:58,560 Speaker 1: personal autonomy and privacy that they're not listening into your 54 00:03:58,600 --> 00:04:05,120 Speaker 1: conversations through the smart speakers. Right Well, in t nineteen, 55 00:04:05,440 --> 00:04:09,080 Speaker 1: it emerged that Amazon employees had been listening to voice 56 00:04:09,120 --> 00:04:14,280 Speaker 1: recordings captured via the Echo in consumers homes and offices. 57 00:04:14,640 --> 00:04:18,360 Speaker 1: This wasn't a couple of rogue employees either, No, Amazon 58 00:04:18,640 --> 00:04:22,479 Speaker 1: literally hired thousands of people to do this. The job 59 00:04:22,600 --> 00:04:24,839 Speaker 1: was to not only listen to what you're saying, but 60 00:04:24,960 --> 00:04:29,400 Speaker 1: to also transcribe and annotate it. They would then feed 61 00:04:29,400 --> 00:04:32,240 Speaker 1: it back into the software with the aim of apparently 62 00:04:32,279 --> 00:04:37,760 Speaker 1: helping Alexa better understand voice commands. Of course, this raises 63 00:04:37,960 --> 00:04:43,719 Speaker 1: extremely serious questions about citizens personal privacy. But it gets 64 00:04:43,800 --> 00:04:49,400 Speaker 1: even worse. Reported by Forbes, the people tasked with listening 65 00:04:49,440 --> 00:04:54,320 Speaker 1: to your conversations quote required to record the data, whether 66 00:04:54,360 --> 00:04:59,640 Speaker 1: the device has been activated on purpose or not end quote. 67 00:05:00,160 --> 00:05:03,960 Speaker 1: So basically, they can listen into your conversation even if 68 00:05:04,080 --> 00:05:09,080 Speaker 1: you don't want them to. So by buying an Amazon Echo, 69 00:05:09,279 --> 00:05:14,039 Speaker 1: you've essentially invited an employee of Amazon to listen into 70 00:05:14,040 --> 00:05:18,120 Speaker 1: your private conversations, whether you've given Alexa command or not. 71 00:05:18,839 --> 00:05:22,520 Speaker 1: If Big Brother is always watching, it's clear now that 72 00:05:22,600 --> 00:05:25,960 Speaker 1: Amazon is always listening, that is, if you've got one 73 00:05:25,960 --> 00:05:29,719 Speaker 1: of these smart speakers in your home. Now, apparently, if 74 00:05:29,760 --> 00:05:34,640 Speaker 1: the people hired to listen, in record, and annotate conversations 75 00:05:34,680 --> 00:05:38,119 Speaker 1: in your home via the Amazon Echo here private data 76 00:05:38,360 --> 00:05:41,880 Speaker 1: such as your bank details, they're told to just mark 77 00:05:41,920 --> 00:05:46,960 Speaker 1: it down as critical data and move on. Let's hope 78 00:05:47,040 --> 00:05:50,839 Speaker 1: every single one of the thousands of people Amazon employed 79 00:05:50,880 --> 00:05:56,080 Speaker 1: to do this honest and didn't steal anyone's details. Now, 80 00:05:56,120 --> 00:06:00,000 Speaker 1: according to this Forbes article. One of the darker elements 81 00:06:00,080 --> 00:06:03,719 Speaker 1: to this situation is that two workers employed to log 82 00:06:03,760 --> 00:06:07,880 Speaker 1: the conversations thought they heard a sexual assault. When they 83 00:06:07,960 --> 00:06:13,000 Speaker 1: reported it to their superiors, Amazon ironically enough, told them 84 00:06:13,120 --> 00:06:16,600 Speaker 1: it's not their job to interfere. So Amazon will listening 85 00:06:16,600 --> 00:06:20,120 Speaker 1: to your conversations to improve their software data. But if 86 00:06:20,160 --> 00:06:22,839 Speaker 1: they hear someone being sexually assaulted, they don't want to 87 00:06:22,839 --> 00:06:27,000 Speaker 1: do anything about it, according to this article. Now, unfortunately 88 00:06:27,160 --> 00:06:32,320 Speaker 1: it doesn't stop. They're not at all. Let's talk about Ring. 89 00:06:32,920 --> 00:06:37,280 Speaker 1: Ring is a home security company owned by Amazon. They 90 00:06:37,320 --> 00:06:41,880 Speaker 1: bought it in eighteen for one billion dollars and now 91 00:06:42,000 --> 00:06:46,000 Speaker 1: millions of people across the world used the technology. Ring 92 00:06:46,080 --> 00:06:50,560 Speaker 1: provides a line of WiFi connected security cameras for your home. 93 00:06:51,040 --> 00:06:55,640 Speaker 1: You've likely seen footage of Ring doorbell security systems online. 94 00:06:55,960 --> 00:06:58,760 Speaker 1: Is basically a little camera in the doorbell or wherever 95 00:06:58,800 --> 00:07:01,560 Speaker 1: they put it in their house that allows the homeowner 96 00:07:01,600 --> 00:07:04,120 Speaker 1: to see what's going on outside before they open the 97 00:07:04,160 --> 00:07:07,240 Speaker 1: door or inside, for example, if they want to keep 98 00:07:07,240 --> 00:07:10,600 Speaker 1: an eye on their kids as they're plane. Through the wifire, 99 00:07:10,720 --> 00:07:13,200 Speaker 1: you can have Rings set up on your phone or 100 00:07:13,240 --> 00:07:16,240 Speaker 1: your tablet or your laptop or wherever it's not a 101 00:07:16,280 --> 00:07:19,400 Speaker 1: bad idea, but they have been at several problems with 102 00:07:19,480 --> 00:07:24,320 Speaker 1: Amazon's Ring, so let's start with the hackers. This is 103 00:07:24,440 --> 00:07:32,520 Speaker 1: particularly dark. It was reported by journalists Joseph Cox and 104 00:07:32,640 --> 00:07:35,640 Speaker 1: some month of Cole that hackers had built themselves a 105 00:07:35,800 --> 00:07:41,360 Speaker 1: dedicated software for hacking into Amazon's Ring security cameras. It 106 00:07:41,480 --> 00:07:44,560 Speaker 1: becomes clear how funked up this is when looking at 107 00:07:44,560 --> 00:07:48,120 Speaker 1: a story from Mississippi in the US, where it was 108 00:07:48,200 --> 00:07:50,760 Speaker 1: discovered that hackers had managed to get into a ring 109 00:07:50,840 --> 00:07:55,240 Speaker 1: security camera placed in the bedroom of three young girls, 110 00:07:55,880 --> 00:08:00,760 Speaker 1: one of them was just eight years old. Hacker managed 111 00:08:00,800 --> 00:08:04,240 Speaker 1: to take control of the ring security camera, playing music 112 00:08:04,320 --> 00:08:07,240 Speaker 1: through its speaker as the young girls played in their room. 113 00:08:07,520 --> 00:08:11,320 Speaker 1: Daker was watching them the whole time. Dakker then played 114 00:08:11,320 --> 00:08:14,560 Speaker 1: the song Tiptoe through the Tulips, and when one of 115 00:08:14,600 --> 00:08:18,080 Speaker 1: the young girls asked who was there, the hacker replied, 116 00:08:18,600 --> 00:08:23,040 Speaker 1: it's Santa, it's your best friend. Here's the actual recording 117 00:08:23,120 --> 00:08:26,320 Speaker 1: of these hackers interfering with the Ring camera in the 118 00:08:26,400 --> 00:08:34,240 Speaker 1: room of these young girls. I'm your best friend. I'm 119 00:08:34,280 --> 00:08:36,640 Speaker 1: sand a clause. I don't you want to be my 120 00:08:36,720 --> 00:08:39,920 Speaker 1: best friend? You can mess up your room, you can 121 00:08:39,960 --> 00:08:43,000 Speaker 1: break your TV. You can do whatever you want. In 122 00:08:43,040 --> 00:08:46,360 Speaker 1: another incident of the same year, a hacker took control 123 00:08:46,400 --> 00:08:49,960 Speaker 1: of a RING security camera in Florida and began screaming 124 00:08:50,080 --> 00:08:53,080 Speaker 1: racist comments at a family for up to three minutes 125 00:08:53,520 --> 00:08:55,840 Speaker 1: before they were forced to pull the batteries out of 126 00:08:55,880 --> 00:09:00,760 Speaker 1: the Ring unit. So why was this happening, Well, essentially, 127 00:09:00,800 --> 00:09:04,960 Speaker 1: Amazon's Ring wasn't requiring its users to choose two step 128 00:09:05,080 --> 00:09:08,920 Speaker 1: verification by default. With something as delicate as in home 129 00:09:09,000 --> 00:09:12,280 Speaker 1: security cameras, this should have been a standard requirement for 130 00:09:12,320 --> 00:09:15,240 Speaker 1: all users, because without the two steps, it was a 131 00:09:15,280 --> 00:09:18,360 Speaker 1: lot easier for hackers to get into their system. In fact, 132 00:09:18,440 --> 00:09:22,040 Speaker 1: reporters Joseph Cox and Samantha Cole found that hackers were 133 00:09:22,080 --> 00:09:27,359 Speaker 1: building and sharing programs to access RING cameras on criminal forums. 134 00:09:28,080 --> 00:09:31,680 Speaker 1: This of course sets a very dark precedent. If that 135 00:09:31,760 --> 00:09:34,880 Speaker 1: wasn't bad enough, though, it was later discovered that Ring's 136 00:09:34,920 --> 00:09:39,520 Speaker 1: own employees had been improperly accessing Ring users video data. 137 00:09:39,880 --> 00:09:53,120 Speaker 1: Amazon's Ring employees were spying on customers themselves. It was 138 00:09:53,200 --> 00:09:56,720 Speaker 1: discovered that four of Amazon's Ring employees had been fired 139 00:09:57,000 --> 00:10:00,600 Speaker 1: after abusing their position. They had watched footage from Ring 140 00:10:00,720 --> 00:10:05,520 Speaker 1: security cameras without the customer's knowledge or permission. This all 141 00:10:05,559 --> 00:10:09,800 Speaker 1: came out when Amazon Device President of Public Policy Brian 142 00:10:09,920 --> 00:10:13,839 Speaker 1: Huesman answered U S Senators in a letter after they 143 00:10:13,840 --> 00:10:18,559 Speaker 1: had written to Amazon expressing safety concerns about RING devices 144 00:10:18,600 --> 00:10:23,559 Speaker 1: in November twenty nineteen. In the response letter from Amazon 145 00:10:23,720 --> 00:10:28,720 Speaker 1: obtained by Motherboard, the question and answer is as follows 146 00:10:29,160 --> 00:10:33,000 Speaker 1: quote question to your knowledge have there been any documented 147 00:10:33,120 --> 00:10:38,720 Speaker 1: instances of this access being abused? Answer? Over the last 148 00:10:38,760 --> 00:10:43,000 Speaker 1: four years, RING has received four complaints or inquiries regarding 149 00:10:43,040 --> 00:10:47,240 Speaker 1: a team member's access to RING video data. Although each 150 00:10:47,280 --> 00:10:50,920 Speaker 1: of the individuals involved in these incidents was authorized to 151 00:10:51,000 --> 00:10:55,160 Speaker 1: view video data, the attempted access to that data exceeded 152 00:10:55,200 --> 00:10:59,359 Speaker 1: what was necessary for their job functions. In each instance, 153 00:10:59,720 --> 00:11:02,920 Speaker 1: one Ring was made aware of the alleged conduct, RING 154 00:11:03,000 --> 00:11:07,679 Speaker 1: promptly investigated the incident, and, after determining that the individual 155 00:11:07,800 --> 00:11:13,280 Speaker 1: violated company policy, terminated the individual. In addition to taking 156 00:11:13,400 --> 00:11:18,160 Speaker 1: swift action to investigate and take appropriate disciplinary action in 157 00:11:18,280 --> 00:11:21,360 Speaker 1: each of these cases, RING has taken multiple actions to 158 00:11:21,440 --> 00:11:24,679 Speaker 1: limit such data access to a smaller number of team members. 159 00:11:25,160 --> 00:11:28,439 Speaker 1: RING periodically reviews the access privileges it grants to its 160 00:11:28,480 --> 00:11:31,760 Speaker 1: team members to verify that they have a continued need 161 00:11:32,120 --> 00:11:35,880 Speaker 1: for access to customer information for the purpose of maintaining 162 00:11:35,920 --> 00:11:42,000 Speaker 1: and improving the customer experience end quote. So effectively, Yes, 163 00:11:42,200 --> 00:11:47,040 Speaker 1: Amazon has found several cases of Ring employees literally spying 164 00:11:47,080 --> 00:11:50,280 Speaker 1: on their customers. Now you might say, oh, well, this 165 00:11:50,440 --> 00:11:53,680 Speaker 1: is only four employees. Well, I would argue that this 166 00:11:53,760 --> 00:11:57,840 Speaker 1: is only four employees that got caught. Amazon's Ring has 167 00:11:57,920 --> 00:12:01,960 Speaker 1: clearly been sloppy with its security see both externally and 168 00:12:02,400 --> 00:12:09,760 Speaker 1: internally reported by The intercept In. Sources inside Ring said 169 00:12:09,800 --> 00:12:12,680 Speaker 1: that they had provided their research and development team in 170 00:12:12,800 --> 00:12:18,280 Speaker 1: Ukraine unfettered access to quote a folder on Amazon's S 171 00:12:18,400 --> 00:12:23,560 Speaker 1: three cloud storage service that contained every video created by 172 00:12:23,679 --> 00:12:28,640 Speaker 1: every Ring camera around the world end quote. Not only this, 173 00:12:29,120 --> 00:12:33,600 Speaker 1: at the time, the video files were left unencrypted, anyone 174 00:12:33,679 --> 00:12:37,360 Speaker 1: from the team could download someone's sensitive security camera footage 175 00:12:37,600 --> 00:12:40,559 Speaker 1: with the click of a button. The source also said, 176 00:12:40,800 --> 00:12:46,559 Speaker 1: quote Ring unnecessarily provided executives and engineers in the US 177 00:12:46,559 --> 00:12:50,680 Speaker 1: with highly privileged access to the company's technical support video portal, 178 00:12:51,160 --> 00:12:56,319 Speaker 1: allowing unfiltered, round the clock live feeds from some customer cameras, 179 00:12:56,640 --> 00:13:00,440 Speaker 1: regardless of whether they needed access to this extremely sensitive 180 00:13:00,559 --> 00:13:05,000 Speaker 1: data to do their jobs. End quote. Imagine that people 181 00:13:05,000 --> 00:13:08,720 Speaker 1: are Amazon's Ring company able to look into your home 182 00:13:08,800 --> 00:13:12,240 Speaker 1: at seven on a live feed whenever they want to. 183 00:13:13,000 --> 00:13:16,319 Speaker 1: That sounds like spying to me, even if there's no 184 00:13:16,360 --> 00:13:19,760 Speaker 1: intention of doing anything bad behind that they shouldn't have 185 00:13:19,800 --> 00:13:23,480 Speaker 1: had the access. Now. Whilst Ring pointed out to US 186 00:13:23,520 --> 00:13:27,040 Speaker 1: senators that for employees in Ukraine had been caught and 187 00:13:27,120 --> 00:13:30,720 Speaker 1: fired for spying on customers, it seems, at least according 188 00:13:30,760 --> 00:13:33,760 Speaker 1: to the source, that they failed to mention how these 189 00:13:33,800 --> 00:13:37,840 Speaker 1: employees were able to do so. That is rings sloppy 190 00:13:37,920 --> 00:13:41,760 Speaker 1: internal security when it comes to allowing workers access to 191 00:13:41,840 --> 00:13:46,840 Speaker 1: Ring security video. So there's the issues with Amazon's Echo 192 00:13:47,000 --> 00:13:52,120 Speaker 1: smart speakers and the issues with Amazon's Ring home security devices. 193 00:13:52,840 --> 00:13:56,079 Speaker 1: After all that it might allow you to discover the 194 00:13:56,200 --> 00:14:01,160 Speaker 1: Amazon is now making little robots for your house, they too, 195 00:14:01,240 --> 00:14:08,760 Speaker 1: have already raised serious privacy concerns. Astro join me on 196 00:14:08,840 --> 00:14:14,960 Speaker 1: stage today. I'm full to introduce you to a new 197 00:14:15,040 --> 00:14:19,480 Speaker 1: kind of household robot that integrates Alexa advanced hardware, software, 198 00:14:19,600 --> 00:14:22,600 Speaker 1: computer vision, and AI in a brand new way. And 199 00:14:22,640 --> 00:14:26,360 Speaker 1: it's a beautiful illustration of how ambient computing can improve 200 00:14:26,400 --> 00:14:30,360 Speaker 1: customers lives in a way that traditional consumer electronics just 201 00:14:30,520 --> 00:14:35,120 Speaker 1: kept if you didn't know. Amazon's Astro is a new 202 00:14:35,160 --> 00:14:39,160 Speaker 1: three wheeled little robot that can autonomously drive around your home. 203 00:14:39,880 --> 00:14:42,520 Speaker 1: Is packed with cameras and has a little screen on 204 00:14:42,560 --> 00:14:45,480 Speaker 1: the front with two eyes. It's meant to be cute, 205 00:14:45,480 --> 00:14:48,360 Speaker 1: but honestly, it looks a little bit creepy. The idea 206 00:14:48,400 --> 00:14:50,960 Speaker 1: behind Astro is that it will map the layout of 207 00:14:51,040 --> 00:14:54,400 Speaker 1: your home and act as a little robot butler, so 208 00:14:54,520 --> 00:14:56,640 Speaker 1: long as everything in your house is hooked up to 209 00:14:56,720 --> 00:15:02,560 Speaker 1: the same system as Astros Amazon's. Is this about Astro quote? 210 00:15:03,040 --> 00:15:07,040 Speaker 1: Astro is a household robot for home monitoring with Alexa. 211 00:15:07,240 --> 00:15:09,840 Speaker 1: When you're away, use the Astro app to see a 212 00:15:09,880 --> 00:15:12,920 Speaker 1: live view of your home, check in on specific rooms 213 00:15:12,960 --> 00:15:17,720 Speaker 1: and viewpoints, and get activity alerts. When you're home, Astro 214 00:15:17,880 --> 00:15:20,960 Speaker 1: can follow you from room to room, playing your favorite music, 215 00:15:21,240 --> 00:15:26,400 Speaker 1: podcasts or shows, and find you to deliver calls, reminders, alarms, 216 00:15:26,480 --> 00:15:31,280 Speaker 1: and timers set with Alexa. End quote. Honestly, it sounds 217 00:15:31,400 --> 00:15:35,760 Speaker 1: fucking horrible, but that's Astro. So. Astro is known internally 218 00:15:35,920 --> 00:15:41,720 Speaker 1: at Amazon as Vesta and Astro Slash. Vesta has another 219 00:15:41,880 --> 00:15:44,560 Speaker 1: purpose that they don't tell you about in that advert. 220 00:15:44,880 --> 00:15:48,720 Speaker 1: Running surveillance on customers. Have a listen to this internal 221 00:15:48,760 --> 00:15:53,160 Speaker 1: training video for Astro slash VESTA. Don't ask us where 222 00:15:53,160 --> 00:15:55,160 Speaker 1: we got this, just have a listen to what they're 223 00:15:55,160 --> 00:16:01,480 Speaker 1: saying the donation. Start following that Anne stranger and keep 224 00:16:01,520 --> 00:16:04,680 Speaker 1: following under the stranger goes out of the field of you. 225 00:16:05,320 --> 00:16:08,280 Speaker 1: As soon as the person goes out of field of you, 226 00:16:08,880 --> 00:16:12,400 Speaker 1: it will start investigation. That is, it will go and 227 00:16:12,480 --> 00:16:18,000 Speaker 1: check in each scampaigns that is created. This investigation. Unknown 228 00:16:18,040 --> 00:16:23,520 Speaker 1: investigation or non person investigation will happen only after reaching 229 00:16:23,560 --> 00:16:28,400 Speaker 1: to the first scanpoint. This will not happen immediately. And 230 00:16:28,720 --> 00:16:34,400 Speaker 1: regarding the non person investigation, the patrol should start as 231 00:16:34,440 --> 00:16:36,960 Speaker 1: soon as it sees the non person in the field 232 00:16:37,000 --> 00:16:42,520 Speaker 1: of you, and immediately second later the person leaves from 233 00:16:42,560 --> 00:16:46,080 Speaker 1: the field of you, the patrol will start automatically. I mean, 234 00:16:46,120 --> 00:16:49,840 Speaker 1: when the investor is following an unknown person, then a 235 00:16:49,880 --> 00:16:53,240 Speaker 1: non person is introduced into the field of you, the 236 00:16:53,320 --> 00:16:57,360 Speaker 1: patrol or investigation immediately stops. You know, that was a 237 00:16:57,400 --> 00:16:59,680 Speaker 1: little bit hard to understand due to the start, but 238 00:16:59,720 --> 00:17:03,240 Speaker 1: that's we got it. But basically she is explaining how 239 00:17:03,280 --> 00:17:08,439 Speaker 1: Astro can run an investigation patrol. If a stranger quote, 240 00:17:08,480 --> 00:17:11,760 Speaker 1: stranger is in the house, and then Astro can hide 241 00:17:11,800 --> 00:17:15,360 Speaker 1: that activity from the non users at will if they 242 00:17:15,640 --> 00:17:18,840 Speaker 1: enter astros field of vision. So basically running about the 243 00:17:18,840 --> 00:17:22,320 Speaker 1: house doing a little investigation on this stranger. Then the 244 00:17:22,359 --> 00:17:26,280 Speaker 1: owner walks interview and quickly Astro stops it. I don't 245 00:17:26,280 --> 00:17:29,080 Speaker 1: know about you, but along with several other aspects of 246 00:17:29,160 --> 00:17:32,879 Speaker 1: Astro that will hear about, that seems quite creepy to me. 247 00:17:40,359 --> 00:17:43,320 Speaker 1: To get a better understanding of what Amazon is up 248 00:17:43,320 --> 00:17:47,080 Speaker 1: to with their Astro robot, I spoke to Matthew Goalt. 249 00:17:47,240 --> 00:17:50,879 Speaker 1: He's a staff reporter at Motherboard and the host of 250 00:17:50,960 --> 00:17:54,000 Speaker 1: their cyber podcast. He's also the one that first found 251 00:17:54,000 --> 00:17:58,160 Speaker 1: out about the surveillance situation with Astro. So the pitch 252 00:17:58,240 --> 00:18:01,119 Speaker 1: for investor or Astro as it's known now is that 253 00:18:01,160 --> 00:18:04,640 Speaker 1: it's basically like a tablet on wheels with Alexa software 254 00:18:04,640 --> 00:18:08,560 Speaker 1: built in and for a customer gets a cute little 255 00:18:08,560 --> 00:18:11,480 Speaker 1: Wally style thing the roll around your house, let you 256 00:18:11,480 --> 00:18:13,960 Speaker 1: buy stuff on Amazon, and it integrates into the rest 257 00:18:13,960 --> 00:18:16,680 Speaker 1: of the Amazon ecosystem into your home, meaning it can 258 00:18:16,800 --> 00:18:20,440 Speaker 1: communicate with ring cameras. Uh, you know, your Echo, your 259 00:18:20,480 --> 00:18:24,160 Speaker 1: Alexa and and if you have one an Amazon powered 260 00:18:24,200 --> 00:18:28,520 Speaker 1: security system. So the pitch and the way it's described 261 00:18:28,560 --> 00:18:32,440 Speaker 1: internally or kind of two different things. Um, the marketing says, 262 00:18:32,440 --> 00:18:34,520 Speaker 1: a clever little robot that learns from you and will 263 00:18:34,560 --> 00:18:36,760 Speaker 1: help you in your day to day life. So the 264 00:18:36,840 --> 00:18:41,399 Speaker 1: internal documentation kind of shows that Astro is a robot 265 00:18:41,400 --> 00:18:45,160 Speaker 1: that's designed to slowly move through your home, learn all 266 00:18:45,160 --> 00:18:48,040 Speaker 1: of its nooks and crannies, monitor to the behavior of 267 00:18:48,040 --> 00:18:51,760 Speaker 1: its inhabitants, and it literally will follow people around the house, 268 00:18:52,280 --> 00:18:55,360 Speaker 1: recording what they say and do and attempting to integrate 269 00:18:55,400 --> 00:18:59,760 Speaker 1: that data into a customer profile of the home. It 270 00:19:00,160 --> 00:19:04,800 Speaker 1: also has facial recognition software that the people working on 271 00:19:04,840 --> 00:19:07,960 Speaker 1: the device said doesn't work very well. So when you 272 00:19:08,000 --> 00:19:10,960 Speaker 1: buy this thing, you're supposed to get everyone in the 273 00:19:10,960 --> 00:19:14,359 Speaker 1: family together, you hunker down in front of it, and 274 00:19:14,480 --> 00:19:17,760 Speaker 1: you register your face. Um. This is one of the 275 00:19:17,800 --> 00:19:20,760 Speaker 1: things that Astro does is perk up when it meets 276 00:19:20,800 --> 00:19:22,760 Speaker 1: someone in the home who isn't supposed to be there. 277 00:19:23,320 --> 00:19:26,600 Speaker 1: So if you know, ostensibly if you have an intruder, 278 00:19:27,119 --> 00:19:30,239 Speaker 1: it will follow them around, record what they're saying and 279 00:19:30,320 --> 00:19:33,240 Speaker 1: doing stot you know, for someone to view later, and 280 00:19:33,840 --> 00:19:37,280 Speaker 1: if certain conditions are met, alert the authorities. What those 281 00:19:37,280 --> 00:19:42,880 Speaker 1: conditions are aren't exactly clear, but the the the idea 282 00:19:43,000 --> 00:19:45,639 Speaker 1: is that if they are stealing something or making certain 283 00:19:45,760 --> 00:19:49,040 Speaker 1: kinds of loud noise like say the shattering of glass, 284 00:19:49,720 --> 00:19:53,720 Speaker 1: or if or if Astro sees a fire set, it 285 00:19:53,760 --> 00:19:57,159 Speaker 1: will then contact the relevant authorities. Now, I know you 286 00:19:57,240 --> 00:20:00,399 Speaker 1: might be thinking at this stage, well, that doesn't sound 287 00:20:00,600 --> 00:20:03,359 Speaker 1: that bad. Yeah, it's mapping out my whole house, reading 288 00:20:03,400 --> 00:20:06,960 Speaker 1: people's faces, etcetera. But if somebody bursts into my house 289 00:20:06,960 --> 00:20:09,239 Speaker 1: and I'm not there, this little robot thing is going 290 00:20:09,280 --> 00:20:12,240 Speaker 1: to call the police. Well, listen on, because it's not 291 00:20:12,320 --> 00:20:14,880 Speaker 1: that simple. And at the end of this you can 292 00:20:14,920 --> 00:20:18,840 Speaker 1: decide if you think the negatives outweigh the positives. But 293 00:20:18,960 --> 00:20:21,480 Speaker 1: the people we talked to who had worked on this 294 00:20:21,560 --> 00:20:27,199 Speaker 1: thing where we're not happy with the device, Um, we 295 00:20:27,280 --> 00:20:29,520 Speaker 1: talked to several people. Every single one of them kind 296 00:20:29,520 --> 00:20:31,719 Speaker 1: of said the same thing that they thought that this 297 00:20:31,800 --> 00:20:35,840 Speaker 1: was terrible. They were horrified by the privacy implications of it, 298 00:20:36,359 --> 00:20:40,240 Speaker 1: and that generally just didn't work very well. Astro seems 299 00:20:40,280 --> 00:20:42,920 Speaker 1: kind of bad at everything that it does. Um, this 300 00:20:43,040 --> 00:20:46,840 Speaker 1: is one of my favorite quotes. Astro is terrible and 301 00:20:46,840 --> 00:20:49,400 Speaker 1: will almost certainly throw itself down a flight of stairs 302 00:20:49,680 --> 00:20:52,879 Speaker 1: if presented the opportunity, and will note that every single 303 00:20:52,920 --> 00:20:55,680 Speaker 1: person we talked to mentioned that stairs were a problem 304 00:20:55,720 --> 00:20:59,160 Speaker 1: for Astro does not know how to handle them. Quote 305 00:20:59,400 --> 00:21:02,320 Speaker 1: the person detection is unreliable at best, making the in 306 00:21:02,400 --> 00:21:08,080 Speaker 1: home security proposition laughable. So drilling down, how does Astro 307 00:21:08,320 --> 00:21:13,320 Speaker 1: collect data on its customers? So, Astro is another in 308 00:21:13,320 --> 00:21:17,960 Speaker 1: a long line of data gathering operations run by Amazon. Basically, 309 00:21:18,080 --> 00:21:21,520 Speaker 1: every interaction anyone has with Amazon, whether through using an 310 00:21:21,520 --> 00:21:24,720 Speaker 1: Echo Dot to order cheese Whiz or rewatching X files 311 00:21:24,720 --> 00:21:27,639 Speaker 1: for the five time on Prime Video, that becomes a 312 00:21:27,720 --> 00:21:32,840 Speaker 1: data point and Amazon's like huge aws stores. Um So, 313 00:21:32,880 --> 00:21:34,879 Speaker 1: if you're read a book on good Reads, or you 314 00:21:34,960 --> 00:21:37,119 Speaker 1: highlight a passage in a Game of Thrones novel on 315 00:21:37,160 --> 00:21:39,679 Speaker 1: your kindle, or you leave a one star review for 316 00:21:39,880 --> 00:21:45,080 Speaker 1: dish soap on Amazon, the site learns all of that. Ostensibly, 317 00:21:45,440 --> 00:21:48,639 Speaker 1: it uses this data to better manage the customer experience. 318 00:21:48,680 --> 00:21:50,359 Speaker 1: You might start seeing books similar to the one you 319 00:21:50,480 --> 00:21:53,280 Speaker 1: rated highly, start getting ads for something that was mentioned 320 00:21:53,280 --> 00:21:56,600 Speaker 1: in that passage that you highlighted. Uh, and you'll probably 321 00:21:56,640 --> 00:21:59,800 Speaker 1: never see dish soap that you rated at one star 322 00:22:00,119 --> 00:22:03,080 Speaker 1: ever again, Um, and a lot of people love this. 323 00:22:03,760 --> 00:22:06,480 Speaker 1: They love the way that interacting with Amazon and its 324 00:22:06,560 --> 00:22:10,399 Speaker 1: systems allows you know, the site to learn about you 325 00:22:10,520 --> 00:22:14,160 Speaker 1: as a customer. The argument is that it makes life easier, 326 00:22:14,400 --> 00:22:16,639 Speaker 1: and that's kind of the tradeoff, right, You're sacrificing a 327 00:22:16,640 --> 00:22:21,520 Speaker 1: little bit of privacy for convenience. But the thing is, 328 00:22:22,080 --> 00:22:24,119 Speaker 1: I think a lot of what Amazon does, and a 329 00:22:24,160 --> 00:22:27,440 Speaker 1: lot of other people think that what Amazon does h 330 00:22:27,920 --> 00:22:31,400 Speaker 1: rises to the level of spying. And I think Astro 331 00:22:31,520 --> 00:22:33,520 Speaker 1: is a really good way to kind of taught, like 332 00:22:33,600 --> 00:22:37,720 Speaker 1: have that conversation. Um, there's stuff that it does that 333 00:22:38,520 --> 00:22:42,159 Speaker 1: just massive, massive, massive privacy concerns. And so if you 334 00:22:42,240 --> 00:22:46,280 Speaker 1: think about Astro as like a camera and a recorder 335 00:22:46,480 --> 00:22:51,439 Speaker 1: on wheels that is feeding information back to Amazon, Well, 336 00:22:51,480 --> 00:22:54,000 Speaker 1: who is looking at that information and why are they 337 00:22:54,040 --> 00:22:56,760 Speaker 1: looking at that information? Is there any kind of precedent 338 00:22:57,400 --> 00:23:00,159 Speaker 1: set in Amazon as a company that can tell us 339 00:23:00,200 --> 00:23:03,879 Speaker 1: about how they're going to use that information going forward? 340 00:23:04,000 --> 00:23:06,240 Speaker 1: At this point in the episode, because of what we 341 00:23:06,280 --> 00:23:09,360 Speaker 1: spoke about earlier, we know that there is a precedent 342 00:23:09,400 --> 00:23:11,440 Speaker 1: and that the people that get hold of this information 343 00:23:11,560 --> 00:23:16,840 Speaker 1: Amazon continuously disrespecting people's privacy is likely that the same 344 00:23:16,880 --> 00:23:21,040 Speaker 1: thing will happen with Astro um. And this is really 345 00:23:21,040 --> 00:23:24,040 Speaker 1: important because I think there's this big misunderstanding of Amazon. 346 00:23:24,080 --> 00:23:26,560 Speaker 1: When we start talking about its power and about breaking 347 00:23:26,560 --> 00:23:28,200 Speaker 1: it up and about whether or not it's some monopoly, 348 00:23:28,240 --> 00:23:29,760 Speaker 1: people are just like, well, it's just a website that 349 00:23:29,800 --> 00:23:34,560 Speaker 1: sells stuff that's really not true anymore. It also sells 350 00:23:34,640 --> 00:23:36,920 Speaker 1: a lot of surveillance tech, you know, like this little 351 00:23:36,960 --> 00:23:40,760 Speaker 1: astro robot. It's runs aws. It's the biggest data form 352 00:23:40,800 --> 00:23:43,040 Speaker 1: on the planet. UM. A lot of the Internet is 353 00:23:43,080 --> 00:23:46,320 Speaker 1: now filtered or stored on their cloud servers, and that's 354 00:23:46,320 --> 00:23:49,159 Speaker 1: a huge single point of failure in Amazon is storing 355 00:23:49,280 --> 00:23:52,480 Speaker 1: a lot of audio and video fed to it by 356 00:23:52,520 --> 00:23:55,760 Speaker 1: its customers through the cameras and echo dots and little 357 00:23:55,760 --> 00:23:58,280 Speaker 1: astros that are it's selling. If that wasn't bad enough, 358 00:23:58,440 --> 00:24:01,440 Speaker 1: listen to this extra detail a few Goats tells us 359 00:24:01,480 --> 00:24:04,040 Speaker 1: about the ring Comeras we spoke about the stuff of 360 00:24:04,119 --> 00:24:09,439 Speaker 1: the episode, Amazon has a lot of deals with various 361 00:24:09,520 --> 00:24:12,879 Speaker 1: law enforcement agencies across the country that gives them carte 362 00:24:12,880 --> 00:24:16,960 Speaker 1: blanche access to these ring cameras. Um. There's really good 363 00:24:16,960 --> 00:24:20,199 Speaker 1: investigations in pieces in Motherboard and then also from the 364 00:24:20,240 --> 00:24:25,640 Speaker 1: Electronic Frontier Foundation that have shown that Amazon routinely gives 365 00:24:25,720 --> 00:24:29,440 Speaker 1: cops access to these things. Um. One example, in San 366 00:24:29,520 --> 00:24:34,120 Speaker 1: Francisco in twenty nineteen, cops were given access to ring 367 00:24:34,119 --> 00:24:36,679 Speaker 1: camera footage so they could watch protests. And this is 368 00:24:36,720 --> 00:24:38,600 Speaker 1: not something that they go and they check with Hey, 369 00:24:38,600 --> 00:24:41,040 Speaker 1: can we uh, can we use your ring camera? See 370 00:24:41,040 --> 00:24:44,520 Speaker 1: what the footage is like. No, Amazon just hands it over. UM. 371 00:24:44,720 --> 00:24:46,800 Speaker 1: So you're when you're installing one of these things in 372 00:24:46,840 --> 00:24:50,640 Speaker 1: your home, you're becoming part of a vast surveillance network 373 00:24:50,960 --> 00:24:54,720 Speaker 1: and you don't have any control over where that data goes. Uh. 374 00:24:54,800 --> 00:24:57,480 Speaker 1: There's a town in California that partnered with RING to 375 00:24:57,640 --> 00:25:01,119 Speaker 1: give away free cameras to anyone who witnessed a neighbor 376 00:25:01,160 --> 00:25:04,720 Speaker 1: committing a crime and then promised to testify against them 377 00:25:04,720 --> 00:25:08,640 Speaker 1: in court, you know, incentivizing people to rat out their neighbors. 378 00:25:09,520 --> 00:25:12,960 Speaker 1: In an incident in Washington State, a RING user posted 379 00:25:13,000 --> 00:25:17,080 Speaker 1: footage of someone on their porch. Sheriff later tracked down 380 00:25:17,119 --> 00:25:19,239 Speaker 1: the guy and then they got into a confrontation they 381 00:25:19,320 --> 00:25:22,800 Speaker 1: killed him. The woman has said repeatedly after the fact 382 00:25:22,800 --> 00:25:26,639 Speaker 1: that she regrets posting the footage online, and she feels 383 00:25:26,680 --> 00:25:30,439 Speaker 1: that her her sharing the ring recording directly led to 384 00:25:30,480 --> 00:25:32,640 Speaker 1: the man's death. UM. And it's one of these things 385 00:25:32,640 --> 00:25:35,280 Speaker 1: where it was obviously a guy that was in distress 386 00:25:35,440 --> 00:25:38,320 Speaker 1: and in need of like a mental health check um. 387 00:25:38,320 --> 00:25:40,480 Speaker 1: And he died because of an interaction with the police 388 00:25:40,920 --> 00:25:44,080 Speaker 1: and because someone saw him on a ring camera. Now, 389 00:25:44,119 --> 00:25:47,480 Speaker 1: Amazon can't always control who gets access, and it can't 390 00:25:47,520 --> 00:25:52,680 Speaker 1: protect you from its own employees. UM. Their devices for spine, 391 00:25:53,320 --> 00:25:55,720 Speaker 1: even if ostensibly they're supposed to be used to make 392 00:25:55,720 --> 00:25:58,600 Speaker 1: our lives more convenient and keep people safe. And at 393 00:25:58,600 --> 00:26:01,400 Speaker 1: the end of the day, it's a camera or recorder 394 00:26:01,520 --> 00:26:03,560 Speaker 1: and you don't have control over what's done with the 395 00:26:03,640 --> 00:26:06,280 Speaker 1: data once it hits Amazon servers. It's one thing to 396 00:26:06,320 --> 00:26:10,199 Speaker 1: have like a closed circuit television system set up in 397 00:26:10,200 --> 00:26:12,760 Speaker 1: your home where you are the only one that has 398 00:26:12,800 --> 00:26:15,960 Speaker 1: access to the footage. But when you get integrated into 399 00:26:16,000 --> 00:26:21,080 Speaker 1: Amazon's services like this, you're you're you're inviting this huge 400 00:26:21,200 --> 00:26:24,520 Speaker 1: company to paw through all of your stuff and look 401 00:26:24,560 --> 00:26:28,200 Speaker 1: through it all. And you know, here we have Astro, 402 00:26:29,400 --> 00:26:33,919 Speaker 1: this little device that that moves around your house and 403 00:26:34,000 --> 00:26:37,680 Speaker 1: records even more information. So Amazon has been caught spying 404 00:26:37,680 --> 00:26:40,880 Speaker 1: on its customers several times. How is the spying via 405 00:26:40,960 --> 00:26:44,320 Speaker 1: Astro unique? I would say the spying the astro is 406 00:26:44,400 --> 00:26:48,280 Speaker 1: unique because it's ambulatory. This thing moves around your house. 407 00:26:48,480 --> 00:26:50,760 Speaker 1: It has your faces, It has the faces of you 408 00:26:51,160 --> 00:26:53,000 Speaker 1: and everyone in your home stored in side of it, 409 00:26:53,000 --> 00:26:56,280 Speaker 1: and it's making judgment calls about who should and shouldn't 410 00:26:56,320 --> 00:26:58,399 Speaker 1: be there. And the people who have worked on this 411 00:26:58,480 --> 00:27:02,639 Speaker 1: thing tell us it's not good at making those judgment calls. UM. 412 00:27:02,680 --> 00:27:06,600 Speaker 1: The facial recognition software is built on shaky foundation UM, 413 00:27:06,640 --> 00:27:08,880 Speaker 1: and trying to integrate into a thousand dollar a little 414 00:27:08,960 --> 00:27:12,600 Speaker 1: robot that's going to move around your house is asking 415 00:27:12,640 --> 00:27:16,119 Speaker 1: for a disaster. UM. You know, it's one thing to 416 00:27:16,200 --> 00:27:19,159 Speaker 1: have the ring camera pointed outside your front door, or 417 00:27:19,160 --> 00:27:21,880 Speaker 1: an Alexa that listens to everything inside your home. It's 418 00:27:21,960 --> 00:27:24,439 Speaker 1: quite another to have a little device that moves around, 419 00:27:24,520 --> 00:27:29,359 Speaker 1: recording audio and video and creating a floor plan in 420 00:27:29,400 --> 00:27:32,040 Speaker 1: its memory. So this is another one of the really 421 00:27:32,040 --> 00:27:37,480 Speaker 1: interesting unique features UM of Astro that has kind of 422 00:27:37,480 --> 00:27:40,840 Speaker 1: talked about more in the design documents than it is 423 00:27:41,280 --> 00:27:46,159 Speaker 1: in the marketing. UM. It learns your floor plan, it 424 00:27:46,200 --> 00:27:49,480 Speaker 1: moves around your home, It finds all the nukes and crannies. 425 00:27:49,520 --> 00:27:54,840 Speaker 1: It's builds a rendering of your house in its memory. Uh. 426 00:27:54,880 --> 00:27:57,639 Speaker 1: It also monitors the foot traffic of everyone in the 427 00:27:57,640 --> 00:28:00,679 Speaker 1: house and learns what the hotspots are. According to the 428 00:28:00,720 --> 00:28:03,959 Speaker 1: design documents we looked at, astro nos say that at 429 00:28:04,000 --> 00:28:06,919 Speaker 1: three fifteen, the kids get home from school and the 430 00:28:07,080 --> 00:28:10,080 Speaker 1: entrance to the house becomes a traffic hot spot, so 431 00:28:10,080 --> 00:28:14,800 Speaker 1: it knows that it should avoid that. Um, it's monitoring, 432 00:28:15,160 --> 00:28:19,399 Speaker 1: it's moving around the house except when it's charging, recording 433 00:28:19,800 --> 00:28:24,160 Speaker 1: audio and video. Um, it's moving around on its own 434 00:28:24,359 --> 00:28:28,479 Speaker 1: and making explicit maps of your residence. And we already 435 00:28:28,480 --> 00:28:30,600 Speaker 1: know that hackers have been able to get access to 436 00:28:30,640 --> 00:28:34,880 Speaker 1: Amazon servers before. Just like this is all a recipe 437 00:28:34,880 --> 00:28:39,320 Speaker 1: for disaster, recipe for disaster. So after all that, it's 438 00:28:39,440 --> 00:28:44,840 Speaker 1: up to you to decide. Is Amazon spying on us? Personally? 439 00:28:45,160 --> 00:28:49,120 Speaker 1: I think yes, but your thoughts are yours. The Looking 440 00:28:49,160 --> 00:28:51,200 Speaker 1: through all of this, though, it feels to me that 441 00:28:51,320 --> 00:28:57,080 Speaker 1: Amazon is basically tricking us, consciously or unconsciously into consuming 442 00:28:57,200 --> 00:29:00,640 Speaker 1: more and more trendy gadgets that actually all up as 443 00:29:00,680 --> 00:29:04,080 Speaker 1: surveillance systems. Access is given to the police at the 444 00:29:04,120 --> 00:29:07,280 Speaker 1: drop of a hat without your permission. Access has been 445 00:29:07,280 --> 00:29:11,000 Speaker 1: stolen quite easily by hackers, and access has been given 446 00:29:11,040 --> 00:29:15,680 Speaker 1: willingly to employees working at Amazon's tech security divisions. If 447 00:29:15,680 --> 00:29:19,320 Speaker 1: you're using these products, all of the data, video, images, 448 00:29:19,360 --> 00:29:23,480 Speaker 1: and voice recordings that they collect all stored in Amazon's 449 00:29:23,680 --> 00:29:27,200 Speaker 1: Big Cloud. Up they hearing all of this, does that 450 00:29:27,280 --> 00:29:32,200 Speaker 1: make you feel safe? In the next episode of Megacorp, 451 00:29:32,440 --> 00:29:36,719 Speaker 1: will be looking into Amazon's connections to intelligence agencies across 452 00:29:36,760 --> 00:29:43,400 Speaker 1: the world, including the CIA and m I six. Megacorp 453 00:29:43,560 --> 00:29:47,720 Speaker 1: is made by my production company H eleven for Cool 454 00:29:47,800 --> 00:29:53,160 Speaker 1: Zone Media. It's written, researched, and produced by myself, Jake Hanrahan. 455 00:29:54,120 --> 00:29:59,040 Speaker 1: It was also produced by Sophie Lichtman. Music is by 456 00:29:59,160 --> 00:30:03,720 Speaker 1: Some Black, graphics by Adam Doyle and sound engineering by 457 00:30:03,840 --> 00:30:07,400 Speaker 1: Splicing Block. If you want to get in touch, follow 458 00:30:07,440 --> 00:30:12,640 Speaker 1: me on social media at Jake Underscore Hanrahan. That's h 459 00:30:12,680 --> 00:30:15,520 Speaker 1: A N A h A N