1 00:00:00,600 --> 00:00:03,120 Speaker 1: Decrypted is brought to you by red Hat, whose broad 2 00:00:03,160 --> 00:00:06,520 Speaker 1: portfolio of open source technologies for the enterprise helps you 3 00:00:06,559 --> 00:00:08,760 Speaker 1: get from where you are to where you want to be. 4 00:00:09,560 --> 00:00:12,879 Speaker 1: Red Hat the open technology to help you realize your vision. 5 00:00:13,320 --> 00:00:16,079 Speaker 1: Learn more at red hat dot com, slash open tech, 6 00:00:25,360 --> 00:00:30,680 Speaker 1: and November. A group of friends in Bentonville, Arkansas. We're 7 00:00:30,760 --> 00:00:34,400 Speaker 1: hanging out watching a college football game. They were drinking beer, 8 00:00:34,720 --> 00:00:37,640 Speaker 1: taken vodka shots. Nothing out of the ordinary for a 9 00:00:37,680 --> 00:00:41,400 Speaker 1: bunch of guys watching TV. As the night drawn, three 10 00:00:41,440 --> 00:00:43,839 Speaker 1: of them moved the party to the hot tub. Around midnight. 11 00:00:44,040 --> 00:00:46,680 Speaker 1: One of them went home, but in the morning, one 12 00:00:46,760 --> 00:00:50,360 Speaker 1: member of the group, Victor Collins, was found face down 13 00:00:50,520 --> 00:00:53,960 Speaker 1: in the hot tub, apparently strangled and drowned in dark 14 00:00:54,120 --> 00:00:58,080 Speaker 1: red water. The jacuzzis, head, wrists, and knobs were scattered 15 00:00:58,080 --> 00:01:01,480 Speaker 1: on the ground covered with blood. Victor's left eye and 16 00:01:01,560 --> 00:01:04,360 Speaker 1: lips were dark and swollen, and there was blood and 17 00:01:04,440 --> 00:01:08,440 Speaker 1: pink foam coming out of his nose. I just find 18 00:01:08,440 --> 00:01:12,200 Speaker 1: it hard to believe that injuries such as that to 19 00:01:12,280 --> 00:01:15,640 Speaker 1: cause a man's death, especially a guy like Vick, were needed. 20 00:01:15,680 --> 00:01:20,600 Speaker 1: I just it shocks me, it really does. That's Victor's friend, 21 00:01:20,840 --> 00:01:24,640 Speaker 1: Jamie Gianfala. And when he says especially a guy like Vic, 22 00:01:25,160 --> 00:01:27,639 Speaker 1: what he means is that Victor was a big, tall, 23 00:01:28,000 --> 00:01:32,360 Speaker 1: intimidating man. And Bentonville is a small, sleepy town with 24 00:01:32,440 --> 00:01:34,880 Speaker 1: a very low crime rate. This is a kind of 25 00:01:34,920 --> 00:01:38,560 Speaker 1: thing that's never supposed to happen there. It shocks me, 26 00:01:38,600 --> 00:01:41,360 Speaker 1: It really does. The homeowner, the thirty one year old 27 00:01:41,360 --> 00:01:44,880 Speaker 1: Walmart employee, called James Andrew Bates, says he went to 28 00:01:44,920 --> 00:01:48,000 Speaker 1: bed at one am and discovered the body. After sunrise, 29 00:01:48,320 --> 00:01:50,880 Speaker 1: he called the cops, who came over to find the 30 00:01:50,880 --> 00:01:56,680 Speaker 1: back patio dripping with water. Now fifteen police responded to 31 00:01:56,720 --> 00:01:59,640 Speaker 1: Southwest elm Manor Avenue after nine one. One call reported 32 00:01:59,680 --> 00:02:02,480 Speaker 1: a body laying in a hot tub, but it didn't 33 00:02:02,520 --> 00:02:05,320 Speaker 1: seem like the water was coming from the hot tub. 34 00:02:05,880 --> 00:02:17,120 Speaker 1: The police suspected foul play homicide. Then if the cops 35 00:02:17,120 --> 00:02:21,800 Speaker 1: saw something in the kitchen, a voice activated Amazon Echo speaker, 36 00:02:22,360 --> 00:02:25,720 Speaker 1: they thought it might have special significance. If Alexa, which 37 00:02:25,760 --> 00:02:28,680 Speaker 1: is the virtual assistant the powers the echo, had been listening, 38 00:02:28,960 --> 00:02:33,160 Speaker 1: she might just help investigators discover who killed Victor Collins. 39 00:02:43,919 --> 00:02:47,800 Speaker 1: Hi Amaki Ito and I'm Nicole brand And this week 40 00:02:47,840 --> 00:02:52,640 Speaker 1: on Decrypted we're exploring the proliferation of Internet connected devices 41 00:02:53,080 --> 00:02:55,960 Speaker 1: like the Amazon Echo, the Google Home, and the just 42 00:02:56,240 --> 00:02:59,639 Speaker 1: announced Apple HomePod. As more and more of the things 43 00:02:59,680 --> 00:03:02,320 Speaker 1: around us get connected to the Internet, they're helping us 44 00:03:02,320 --> 00:03:05,480 Speaker 1: at every turn, ordering us pizza, reminding us of our 45 00:03:05,520 --> 00:03:09,560 Speaker 1: friend's birthdays, playing our favorite podcast. At the same time, 46 00:03:09,639 --> 00:03:13,200 Speaker 1: they're watching and recording our every move, which is bringing 47 00:03:13,280 --> 00:03:16,360 Speaker 1: up all kinds of uncomfortable questions around our rights to 48 00:03:16,440 --> 00:03:20,760 Speaker 1: digital privacy. How should this data be used and by whom? 49 00:03:21,120 --> 00:03:24,240 Speaker 1: Will ask if it's even possible to own and use 50 00:03:24,280 --> 00:03:28,000 Speaker 1: one of these gasgets without having to give up your privacy, 51 00:03:28,040 --> 00:03:31,160 Speaker 1: and see what users can do to stay protected. Stay 52 00:03:31,160 --> 00:03:36,400 Speaker 1: with us, Sinico. Take us back to that hot tub 53 00:03:36,440 --> 00:03:39,960 Speaker 1: in Bentonville. Well, there were two broken bottles that were 54 00:03:39,960 --> 00:03:43,160 Speaker 1: found near the jacuzzi, and also spots of blood all 55 00:03:43,200 --> 00:03:46,800 Speaker 1: over nearby. Investigators thought that they were signs of struggle. 56 00:03:47,200 --> 00:03:51,520 Speaker 1: So in February, which was three months later, James Bates 57 00:03:51,560 --> 00:03:54,360 Speaker 1: was arrested for the crime. And what do we know 58 00:03:54,440 --> 00:03:57,840 Speaker 1: about the victim? Victor? He was forty seven when he died. 59 00:03:58,240 --> 00:04:02,120 Speaker 1: He left behind his wife, Christine, and five children. Vick 60 00:04:02,280 --> 00:04:08,240 Speaker 1: was probably six three six pounds This is Victor's friend Jamie. 61 00:04:08,360 --> 00:04:12,120 Speaker 1: He looked very intimidating, always had a haircut, real short um, 62 00:04:12,160 --> 00:04:14,560 Speaker 1: but honestly, when you sat down and you talked to him, 63 00:04:14,560 --> 00:04:16,599 Speaker 1: he was he was a ball lass. I mean, the 64 00:04:16,600 --> 00:04:19,479 Speaker 1: guy always you know. It was good for having a 65 00:04:19,480 --> 00:04:22,280 Speaker 1: good time in terms of laid back and and just 66 00:04:22,440 --> 00:04:26,120 Speaker 1: real relaxing and real fun to talk with and hang 67 00:04:26,160 --> 00:04:28,599 Speaker 1: out with. Victor and Jamie met when they were both 68 00:04:28,600 --> 00:04:32,000 Speaker 1: police officers in Cherokee County, Georgia, which is a mountainous 69 00:04:32,040 --> 00:04:35,760 Speaker 1: area not far from Atlanta. Victor Collins was my first 70 00:04:35,800 --> 00:04:39,039 Speaker 1: training officer. I was able to ride with him and 71 00:04:39,240 --> 00:04:41,680 Speaker 1: I got to learn the tricks of the trade from him, 72 00:04:41,720 --> 00:04:45,239 Speaker 1: and we began a friendship almost immediately. As a cop, 73 00:04:45,520 --> 00:04:49,280 Speaker 1: Jamie has investigated homicides before and says he's very interested 74 00:04:49,279 --> 00:04:52,719 Speaker 1: by the presence of an Amazon Echo at the crime scene. Right. 75 00:04:52,800 --> 00:04:56,159 Speaker 1: This is the voice activated speaker that the police found 76 00:04:56,200 --> 00:04:59,520 Speaker 1: in James Bates home. And just very quickly for a 77 00:04:59,560 --> 00:05:02,560 Speaker 1: listener who have never seen an echo before. It's this 78 00:05:02,720 --> 00:05:06,719 Speaker 1: black cylinder shaped speaker that connects to the Internet and 79 00:05:06,839 --> 00:05:09,800 Speaker 1: you can have it play music or answer random questions 80 00:05:09,839 --> 00:05:13,719 Speaker 1: like this. Alexa will it be cold tomorrow. Tomorrow in 81 00:05:13,760 --> 00:05:16,840 Speaker 1: New York, you'll see some sun in thunderstorms, and you 82 00:05:16,920 --> 00:05:18,880 Speaker 1: can expect to high of eighty and a low of 83 00:05:18,920 --> 00:05:21,960 Speaker 1: sixty four. Anyway, you can imagine the kind of audio 84 00:05:22,040 --> 00:05:24,200 Speaker 1: it might pick up if it were just sitting there 85 00:05:24,240 --> 00:05:27,480 Speaker 1: the whole time, right next to a crime scene. Bentonville 86 00:05:27,480 --> 00:05:30,480 Speaker 1: police got a search warrant to confiscate the echo is evidence, 87 00:05:31,040 --> 00:05:33,159 Speaker 1: but the echo by itself couldn't tell the full story 88 00:05:33,600 --> 00:05:35,960 Speaker 1: because none of the data is saved on the device. 89 00:05:36,680 --> 00:05:39,400 Speaker 1: Amazon told me that records are stored in the cloud, 90 00:05:39,920 --> 00:05:44,159 Speaker 1: in other words, on Amazon servers, which are scattered across 91 00:05:44,240 --> 00:05:47,720 Speaker 1: the country and around the world. So the lead detective 92 00:05:47,720 --> 00:05:51,080 Speaker 1: got a court order to get Amazon to share its information. Now, 93 00:05:51,080 --> 00:05:54,479 Speaker 1: an important thing to know about these virtual assistance is 94 00:05:54,520 --> 00:05:57,040 Speaker 1: that you know whether it's a speaker like the Echo 95 00:05:57,200 --> 00:06:00,240 Speaker 1: or on the phone like Apple Syrie. There does trying 96 00:06:00,320 --> 00:06:03,040 Speaker 1: to wake up only when they're prompted to do so, 97 00:06:03,480 --> 00:06:06,880 Speaker 1: otherwise they'd annoy you all the time. So the Echo 98 00:06:06,920 --> 00:06:11,640 Speaker 1: will only start recording once someone calls it by its name, Alexa. 99 00:06:11,839 --> 00:06:15,440 Speaker 1: Amazon told me that saying the word Alexa also turns 100 00:06:15,480 --> 00:06:17,880 Speaker 1: on the blue light that's on the speaker, so the 101 00:06:17,960 --> 00:06:21,360 Speaker 1: echoes only streaming audio to the cloud when that blue 102 00:06:21,400 --> 00:06:24,760 Speaker 1: light is on. In theory, this could still be useful 103 00:06:24,800 --> 00:06:29,320 Speaker 1: to investigators. Someone may have been agitated and yelled at 104 00:06:29,360 --> 00:06:32,240 Speaker 1: the Amazon to shut up because the music was playing. 105 00:06:32,680 --> 00:06:36,080 Speaker 1: That's Craig Ball, a forensic technologist and former trial lawyer. 106 00:06:36,240 --> 00:06:39,560 Speaker 1: Craig is what's called a court master in the legal system. 107 00:06:39,640 --> 00:06:42,120 Speaker 1: Instead of being an expert witness for one side or 108 00:06:42,160 --> 00:06:44,840 Speaker 1: the other, he's hired by the judges to help them 109 00:06:44,839 --> 00:06:48,560 Speaker 1: interpret digital evidence. You'll know the time, You'll know the 110 00:06:48,640 --> 00:06:51,200 Speaker 1: voice because there's an actual recording of the boys. I'll 111 00:06:51,240 --> 00:06:55,440 Speaker 1: repeat this since it's important. There's an actual recording of 112 00:06:55,480 --> 00:06:58,560 Speaker 1: your voice. Every time you ask Alexa for something. Amazon 113 00:06:58,720 --> 00:07:02,160 Speaker 1: keeps that audio and hill a user manually deletes their 114 00:07:02,200 --> 00:07:05,960 Speaker 1: command history. Plus, because it's triggered to record and transmit, 115 00:07:06,320 --> 00:07:11,360 Speaker 1: you not only hear the commands, you also hear anything 116 00:07:11,440 --> 00:07:13,920 Speaker 1: in the way of ambient noise at the time, So 117 00:07:14,000 --> 00:07:16,440 Speaker 1: you might hear if the hot tub was running, you 118 00:07:16,520 --> 00:07:20,960 Speaker 1: might hear if someone was groaning, crying, fighting in the background. 119 00:07:21,640 --> 00:07:25,520 Speaker 1: The court order started a legal standoff with Amazon, and 120 00:07:25,800 --> 00:07:29,240 Speaker 1: the company handed over James's account information and records of 121 00:07:29,280 --> 00:07:32,920 Speaker 1: his transactions, but it didn't hand over data from James's 122 00:07:32,960 --> 00:07:37,760 Speaker 1: Echo device. Amazon told me in a statement that quote 123 00:07:38,320 --> 00:07:42,160 Speaker 1: Amazon will not release customer information without a valid and 124 00:07:42,320 --> 00:07:47,120 Speaker 1: binding legal demand properly served on us. Amazon objects to 125 00:07:47,240 --> 00:07:51,560 Speaker 1: overbroad or otherwise inappropriate demands as a matter of course, 126 00:07:51,880 --> 00:07:55,600 Speaker 1: and quote in pushing back against the search warrant, Amazon 127 00:07:55,680 --> 00:07:59,080 Speaker 1: side did both the company's First Amendment rights. In other words, 128 00:07:59,360 --> 00:08:02,600 Speaker 1: the companies to free speech as well as the customers. 129 00:08:03,120 --> 00:08:08,000 Speaker 1: There are certain kinds of speech that are protected constitutionally 130 00:08:08,000 --> 00:08:11,120 Speaker 1: in the United States. We begin to bump into that 131 00:08:11,240 --> 00:08:15,120 Speaker 1: as we look at your interactions with new devices. Ultimately, 132 00:08:15,280 --> 00:08:18,760 Speaker 1: it was the defendant James who gave law enforcement permission 133 00:08:18,800 --> 00:08:21,520 Speaker 1: to access as data, which ended the stand off before 134 00:08:21,520 --> 00:08:30,160 Speaker 1: it fully played out. Ever since, tech companies have been 135 00:08:30,200 --> 00:08:32,960 Speaker 1: in this tug of war with the government over how 136 00:08:33,360 --> 00:08:37,280 Speaker 1: and when they should release customer data. For the industry, 137 00:08:37,320 --> 00:08:41,040 Speaker 1: it's been this delicate balance between protecting their users from 138 00:08:41,120 --> 00:08:45,640 Speaker 1: government intrusion and helping the government chase down criminals. It's 139 00:08:45,679 --> 00:08:49,240 Speaker 1: something that Apple CEO Tim Cook just talked about last 140 00:08:49,240 --> 00:08:51,560 Speaker 1: week in an interview with Bloomberg TV. In the wake 141 00:08:51,640 --> 00:08:56,719 Speaker 1: of the London terror attack. We've been cooperating with the 142 00:08:56,840 --> 00:09:02,840 Speaker 1: UK government in uh, not only in law enforcement kind 143 00:09:02,880 --> 00:09:07,720 Speaker 1: of matters, but on on some of the attacks. And 144 00:09:07,760 --> 00:09:11,760 Speaker 1: I can't speak in detail about that, but in cases 145 00:09:11,840 --> 00:09:15,800 Speaker 1: where we have information uh and they've gone through the 146 00:09:15,920 --> 00:09:21,160 Speaker 1: lawful process, we uh not just give it, but we 147 00:09:21,920 --> 00:09:25,400 Speaker 1: uh you know, we do it very very promptly. The 148 00:09:25,480 --> 00:09:29,360 Speaker 1: public controversy, of course, all started with Edward Snowden's revelations. 149 00:09:29,840 --> 00:09:32,400 Speaker 1: That's when we saw for the first time this scale 150 00:09:32,720 --> 00:09:36,080 Speaker 1: at which the US government, through the National Security Agency, 151 00:09:36,559 --> 00:09:40,520 Speaker 1: was monitoring the communications of its own citizens. People are 152 00:09:40,600 --> 00:09:42,960 Speaker 1: in fact outrage. They don't like the idea of this 153 00:09:43,000 --> 00:09:45,520 Speaker 1: in any way, shape or form. It's very big brother feeling. 154 00:09:45,960 --> 00:09:49,240 Speaker 1: On July four, there were protests against the n s 155 00:09:49,320 --> 00:09:52,360 Speaker 1: A in eighty cities across the US. There were also 156 00:09:52,400 --> 00:10:01,800 Speaker 1: demonstrations in other countries around the world. Today, so a 157 00:10:01,800 --> 00:10:04,239 Speaker 1: lot of people all over the world have been demanding 158 00:10:04,280 --> 00:10:08,520 Speaker 1: greater privacy protections, and at the same time, these smart 159 00:10:08,559 --> 00:10:11,840 Speaker 1: devices that promised to make our lives more convenient have 160 00:10:11,960 --> 00:10:16,160 Speaker 1: gotten really popular. According to an industry report from Voice Labs, 161 00:10:16,280 --> 00:10:20,040 Speaker 1: almost twenty five million smart speakers are expected to ship 162 00:10:20,080 --> 00:10:23,240 Speaker 1: this year. And these two movements have overlapped. You know, 163 00:10:23,800 --> 00:10:26,680 Speaker 1: there are these young urban people who pushed back against 164 00:10:26,720 --> 00:10:29,960 Speaker 1: government intrusion, would like to be early adopters of new tech. 165 00:10:30,480 --> 00:10:33,040 Speaker 1: I can't tell you how many people I went to 166 00:10:33,040 --> 00:10:36,000 Speaker 1: school with would buy the latest smart gadgets but stick 167 00:10:36,080 --> 00:10:38,840 Speaker 1: tape over their laptop cameras so the n s A 168 00:10:38,920 --> 00:10:42,360 Speaker 1: won't check in. I think I've done that more than once. 169 00:10:47,840 --> 00:10:51,640 Speaker 1: But now, four years after the Snowden revelations, things are 170 00:10:51,679 --> 00:10:54,880 Speaker 1: shifting again. At first, the government told us that the 171 00:10:54,960 --> 00:10:59,360 Speaker 1: surveillance was necessary for national security. But as we generate 172 00:10:59,440 --> 00:11:03,120 Speaker 1: more and more data on more and more devices, judges 173 00:11:03,240 --> 00:11:06,079 Speaker 1: and law enforcement agencies are seeing a lot of potential 174 00:11:06,200 --> 00:11:08,760 Speaker 1: for those records to be used as evidence in more 175 00:11:08,840 --> 00:11:12,800 Speaker 1: routine criminal and civil cases. Here's Craig again. He's the 176 00:11:12,800 --> 00:11:16,640 Speaker 1: guy who helps judges interpret digital evidence. The government will 177 00:11:16,679 --> 00:11:19,880 Speaker 1: be able to go to a court be able to show, 178 00:11:19,920 --> 00:11:24,120 Speaker 1: in many instances a compelling reason, clearing convincing evidence could 179 00:11:24,240 --> 00:11:29,760 Speaker 1: cause depending upon the standard applied um and the government 180 00:11:29,800 --> 00:11:32,959 Speaker 1: may be able to obtain a court order compelling an 181 00:11:32,960 --> 00:11:36,960 Speaker 1: individual to release certain information or compelling a third party 182 00:11:37,120 --> 00:11:42,599 Speaker 1: holder of information, a bank of business, a financial transaction 183 00:11:42,840 --> 00:11:50,800 Speaker 1: app company to turn over that information. And there was 184 00:11:50,840 --> 00:11:54,839 Speaker 1: actually an interesting case of investigators using the popular online 185 00:11:54,920 --> 00:11:57,800 Speaker 1: video game World of Warcraft to help solve a murder 186 00:11:57,840 --> 00:12:01,760 Speaker 1: back and how did that work. So, the sixteen year 187 00:12:01,800 --> 00:12:06,000 Speaker 1: old in British Columbia, Canada, CRUs Wellwood, raped and killed 188 00:12:06,120 --> 00:12:10,319 Speaker 1: one of his classmates, Kim Proctor. Okay, he played World 189 00:12:10,320 --> 00:12:13,120 Speaker 1: of Warcraft a lot and used the game's internal messaging 190 00:12:13,160 --> 00:12:16,720 Speaker 1: system to confess his guilt to his online girlfriend. A 191 00:12:16,760 --> 00:12:19,720 Speaker 1: local tech crimes unit got legal access to his communications 192 00:12:19,720 --> 00:12:22,040 Speaker 1: on the platform. So that sounds like a pretty legit 193 00:12:22,160 --> 00:12:24,400 Speaker 1: use case for this kind of data. But there's a 194 00:12:24,520 --> 00:12:27,880 Speaker 1: lot more to this that and what ended up happening 195 00:12:27,920 --> 00:12:31,680 Speaker 1: in the Bentonville murder investigation is coming up right after 196 00:12:31,760 --> 00:12:37,840 Speaker 1: this word from our sponsor. You know where you want 197 00:12:37,880 --> 00:12:41,120 Speaker 1: to be? Red Hat has the broad portfolio of open 198 00:12:41,160 --> 00:12:44,840 Speaker 1: source technologies to get you there. Meet your evolving business 199 00:12:44,920 --> 00:12:48,760 Speaker 1: challenges head on with secure solutions for the enterprise, including 200 00:12:49,120 --> 00:12:55,079 Speaker 1: Linux platforms and containers, hybrid cloud infrastructure, application integration and development, 201 00:12:55,480 --> 00:13:00,000 Speaker 1: operations management, and beyond. Visit red hat, dot com, slash 202 00:13:00,040 --> 00:13:03,840 Speaker 1: and tech to learn more. Redhead the open technology to 203 00:13:03,920 --> 00:13:10,160 Speaker 1: help you realize your vision. Hi, I'm Pagat Cary, a 204 00:13:10,280 --> 00:13:14,000 Speaker 1: producer here undecrypted. We hear a lot about the possibility 205 00:13:14,080 --> 00:13:17,319 Speaker 1: that robots and algorithms could take away our jobs, but 206 00:13:17,520 --> 00:13:21,199 Speaker 1: how real is this threat? If you're seeing or experiencing 207 00:13:21,280 --> 00:13:24,600 Speaker 1: automation at work or suspect your job will be impacted, 208 00:13:24,760 --> 00:13:27,400 Speaker 1: please get in touch with us. We want to hear 209 00:13:27,520 --> 00:13:31,240 Speaker 1: your story, even use it for a future episode. Record 210 00:13:31,280 --> 00:13:34,040 Speaker 1: a voice message on your smartphone and email it to 211 00:13:34,280 --> 00:13:43,800 Speaker 1: decrypted at Bloomberg dot net. Okay, we're back. Before the break, 212 00:13:43,880 --> 00:13:47,319 Speaker 1: we told you that police investigators and judges are seeing 213 00:13:47,400 --> 00:13:50,880 Speaker 1: the data that we generate on these voice activated devices 214 00:13:51,400 --> 00:13:53,600 Speaker 1: as a new kind of evidence they can use in trial, 215 00:13:54,120 --> 00:13:56,199 Speaker 1: kind of like how they might seize and search the 216 00:13:56,280 --> 00:14:00,160 Speaker 1: information on your smartphone or your laptop. When you talked 217 00:14:00,160 --> 00:14:02,679 Speaker 1: about the Internet of things, and there's a very fine 218 00:14:02,800 --> 00:14:06,920 Speaker 1: line between creepy and cool, and that really boils down 219 00:14:07,000 --> 00:14:11,440 Speaker 1: to whether or not the organization got consent from their customers. 220 00:14:11,760 --> 00:14:15,680 Speaker 1: That's Christina Bergmann, the CEO of Integrists Software, a data 221 00:14:15,720 --> 00:14:19,120 Speaker 1: privacy startup that advises tech companies on how to comply 222 00:14:19,280 --> 00:14:23,360 Speaker 1: with the European Union's new privacy regulations. She was previously 223 00:14:23,520 --> 00:14:27,600 Speaker 1: a group product manager at Microsoft with devices like Alexa, 224 00:14:27,840 --> 00:14:32,720 Speaker 1: and while that has some very compelling scenarios for making 225 00:14:32,840 --> 00:14:36,480 Speaker 1: things a lot easier, it also means that you're really 226 00:14:36,600 --> 00:14:42,120 Speaker 1: losing your privacy in in in your home, which for 227 00:14:42,360 --> 00:14:45,400 Speaker 1: a lot of people is an uncomfortable feeling, and that 228 00:14:45,720 --> 00:14:48,720 Speaker 1: that really boils down to consent as well. If you've 229 00:14:48,760 --> 00:14:53,040 Speaker 1: got consent to listen on an ongoing basis, and the 230 00:14:53,120 --> 00:14:56,400 Speaker 1: consumer has the ability to shut it off when they 231 00:14:56,480 --> 00:14:59,080 Speaker 1: want to have that privacy, then then that creates a 232 00:14:59,200 --> 00:15:03,520 Speaker 1: nice barrier. Okay, so maybe customers understand what they're signing 233 00:15:03,600 --> 00:15:06,760 Speaker 1: up for when they buy an echo, but some companies 234 00:15:06,800 --> 00:15:10,760 Speaker 1: haven't been so transparent. So a good example of a 235 00:15:11,120 --> 00:15:14,800 Speaker 1: company that did not get consent before listening to what 236 00:15:14,960 --> 00:15:18,080 Speaker 1: goes on in people's homes is Visio TVs. It would 237 00:15:18,120 --> 00:15:21,600 Speaker 1: be pretty creepy. It's the equivalent of having a technological 238 00:15:21,720 --> 00:15:24,480 Speaker 1: peeping tom in your living room. I wouldn't be comfortable 239 00:15:24,560 --> 00:15:27,840 Speaker 1: with it at all. So what Christina is referring to 240 00:15:28,040 --> 00:15:31,240 Speaker 1: here is a case that Video had settled in February 241 00:15:31,440 --> 00:15:35,040 Speaker 1: for two point two million dollars with the Federal Trade 242 00:15:35,080 --> 00:15:38,400 Speaker 1: Commission in the state of New Jersey. The company smart 243 00:15:38,480 --> 00:15:43,680 Speaker 1: TVs collected viewing data on eleven million customers since without 244 00:15:43,720 --> 00:15:47,680 Speaker 1: consumers knowledge or consent, including what people watched on cable 245 00:15:47,720 --> 00:15:50,720 Speaker 1: and streaming services. That's according to a statement from the FTC. 246 00:15:51,440 --> 00:15:53,920 Speaker 1: And that's really what a lot of this boils down 247 00:15:54,000 --> 00:15:57,800 Speaker 1: to is people being able to trust the companies they're 248 00:15:57,880 --> 00:16:01,560 Speaker 1: engaging with and buying products and services from. So you 249 00:16:01,720 --> 00:16:04,960 Speaker 1: should be able to make an informed decision about whether 250 00:16:05,040 --> 00:16:08,720 Speaker 1: the Internet of Things is right for you, although I 251 00:16:08,880 --> 00:16:11,760 Speaker 1: do doubt most customers actually read the fine print on 252 00:16:11,840 --> 00:16:15,920 Speaker 1: those agreements. I know, I don't. And Christina also told 253 00:16:16,000 --> 00:16:18,800 Speaker 1: me that the rise of big data, meaning companies could 254 00:16:18,800 --> 00:16:22,760 Speaker 1: store lots of information cheaply and crunch it quickly, has 255 00:16:22,800 --> 00:16:26,240 Speaker 1: some knock on effects, including the Internet of things the 256 00:16:26,960 --> 00:16:31,560 Speaker 1: data that people are collecting and organizations are collecting about 257 00:16:31,600 --> 00:16:35,080 Speaker 1: their customers. It's much more personal than it ever was before. 258 00:16:35,280 --> 00:16:38,040 Speaker 1: Ten fifty years ago, if you didn't want people to 259 00:16:38,760 --> 00:16:40,240 Speaker 1: collect data on you, all you had to do with 260 00:16:40,840 --> 00:16:43,320 Speaker 1: with close your laptop and walk away from your computer. 261 00:16:44,200 --> 00:16:46,600 Speaker 1: The difference today is that you can't ever walk away 262 00:16:46,680 --> 00:16:50,120 Speaker 1: from data collection. Your phone is always on you, and 263 00:16:50,360 --> 00:16:54,280 Speaker 1: after constantly collecting information. People are wearing wearables. There are 264 00:16:54,400 --> 00:16:57,560 Speaker 1: censors in homes and on streets and cars and in 265 00:16:57,720 --> 00:17:03,880 Speaker 1: office buildings through spatial recognition to technology. So basically, massive 266 00:17:03,960 --> 00:17:07,720 Speaker 1: storage capacity allows companies to collect and process all the 267 00:17:07,800 --> 00:17:10,679 Speaker 1: data they have on you. Information that's now more intimate 268 00:17:10,760 --> 00:17:13,720 Speaker 1: than ever before. And let's talk about what these companies 269 00:17:13,800 --> 00:17:17,000 Speaker 1: are actually doing with the data. There's a lot of 270 00:17:17,119 --> 00:17:21,920 Speaker 1: information that can be inferred when uh, when data is 271 00:17:21,960 --> 00:17:27,000 Speaker 1: collected about an individual. The real value of data is 272 00:17:27,200 --> 00:17:32,320 Speaker 1: not in the actual initial data collected. What's really valuable 273 00:17:32,480 --> 00:17:35,359 Speaker 1: is what can be inferred based on that initial data. 274 00:17:35,560 --> 00:17:39,639 Speaker 1: For instance, just by knowing something like your geolocation on 275 00:17:39,800 --> 00:17:43,840 Speaker 1: your fitbit, somebody could determine without too much work and 276 00:17:43,960 --> 00:17:46,680 Speaker 1: without too much time, where your home was and where 277 00:17:46,720 --> 00:17:50,199 Speaker 1: your work was just based on location. And here's why 278 00:17:50,280 --> 00:17:53,240 Speaker 1: that could be problematic. You can start to understand people's 279 00:17:53,280 --> 00:17:56,720 Speaker 1: patterns of behavior and look at that type of information 280 00:17:56,840 --> 00:17:59,639 Speaker 1: to know if somebody's home or not. In the past, 281 00:17:59,680 --> 00:18:01,199 Speaker 1: if some do you wanted to rub your house, all 282 00:18:01,240 --> 00:18:02,359 Speaker 1: you had to do is sit on the front of 283 00:18:02,400 --> 00:18:04,320 Speaker 1: the street and figure out when you leave for work 284 00:18:04,560 --> 00:18:06,760 Speaker 1: and when you go home. They could look at things 285 00:18:06,840 --> 00:18:09,399 Speaker 1: like how often or how recently you've opened up the 286 00:18:09,480 --> 00:18:14,240 Speaker 1: fridge door or your washing machine, or how how often 287 00:18:14,400 --> 00:18:16,640 Speaker 1: you've used the lock on your front door. As those 288 00:18:16,680 --> 00:18:20,920 Speaker 1: become increasingly digitized. Of course, tech companies are trying very 289 00:18:21,000 --> 00:18:23,359 Speaker 1: hard to protect all of the data they're collecting on us, 290 00:18:23,920 --> 00:18:27,160 Speaker 1: and Christina says devices from larger firms are more likely 291 00:18:27,240 --> 00:18:35,960 Speaker 1: to have better privacy protections built into their products. So 292 00:18:36,119 --> 00:18:40,120 Speaker 1: let's talk about how these electronic records are collected now, well, 293 00:18:40,359 --> 00:18:43,520 Speaker 1: I asked Craig, was the legal and tech expert, whether 294 00:18:43,600 --> 00:18:47,560 Speaker 1: the government could forcibly extract records if individuals and companies 295 00:18:47,640 --> 00:18:51,680 Speaker 1: don't cooperate. I'm a little area of the word forcibly, 296 00:18:51,840 --> 00:18:55,680 Speaker 1: but let's just say and compel apart from the Fifth 297 00:18:55,720 --> 00:19:00,320 Speaker 1: Amendment considerations in a criminal investigation, Yes, the government would 298 00:19:00,359 --> 00:19:03,160 Speaker 1: have to jump through some procedural hoops. We want those 299 00:19:03,200 --> 00:19:06,520 Speaker 1: procedural hoops to protect us, but we also want people 300 00:19:06,640 --> 00:19:09,240 Speaker 1: to be able to be charged with crimes, and if 301 00:19:09,280 --> 00:19:12,280 Speaker 1: they're guilty, be convicted of crimes. You know, but not 302 00:19:12,480 --> 00:19:15,000 Speaker 1: everyone is going to be investigated for this kind of 303 00:19:15,119 --> 00:19:19,719 Speaker 1: violent crime. Certainly I hope I never will. So how 304 00:19:19,760 --> 00:19:23,119 Speaker 1: do you think this big brotherness would affect just a 305 00:19:23,480 --> 00:19:27,600 Speaker 1: normal law abiding person like me. Yeah. So, let's say 306 00:19:27,600 --> 00:19:30,159 Speaker 1: you're being audited by the u S Tax authority, the 307 00:19:30,240 --> 00:19:34,080 Speaker 1: Internal Revenue Service for potential tax evasion. Craig says that 308 00:19:34,200 --> 00:19:37,240 Speaker 1: the process could get even more high tech and invasive 309 00:19:37,800 --> 00:19:39,400 Speaker 1: when we come to the i r S. There's there's 310 00:19:39,520 --> 00:19:42,560 Speaker 1: very little off limits in that regard, and the i 311 00:19:42,760 --> 00:19:46,359 Speaker 1: r S, in issuing an audit notice, can demand that 312 00:19:46,480 --> 00:19:49,359 Speaker 1: you bring forward certain information. And so the i r 313 00:19:49,520 --> 00:19:52,600 Speaker 1: S may look at your Amazon transactions, they may look 314 00:19:52,720 --> 00:19:57,400 Speaker 1: at your transactions on PayPal, and a variety of other 315 00:19:57,720 --> 00:20:03,160 Speaker 1: what we might call digital or non traditional banking channels. Okay, 316 00:20:03,200 --> 00:20:06,960 Speaker 1: So let's say you've reported earnings of fifty dollars, but 317 00:20:07,480 --> 00:20:10,879 Speaker 1: you actually spent a hundred thousand dollars online. The i 318 00:20:11,080 --> 00:20:14,159 Speaker 1: r S could use that to catch you for tax fraud, right, 319 00:20:14,640 --> 00:20:17,840 Speaker 1: But to be clear, the agency will notify you when 320 00:20:17,840 --> 00:20:21,320 Speaker 1: you're being audited and asks for your cooperation. Okay, So 321 00:20:21,440 --> 00:20:24,720 Speaker 1: there's basically no room for lying to the government, and 322 00:20:24,840 --> 00:20:28,080 Speaker 1: Craig says the same technology also means that powerful people 323 00:20:28,119 --> 00:20:32,000 Speaker 1: in corporations will also leave behind digital traces of their actions. 324 00:20:32,560 --> 00:20:34,680 Speaker 1: So when they do something wrong, it's going to be 325 00:20:34,680 --> 00:20:36,960 Speaker 1: a lot easier to catch them and make them accountable 326 00:20:37,000 --> 00:20:44,520 Speaker 1: to NICA. What do you think this all means for 327 00:20:44,600 --> 00:20:47,400 Speaker 1: the kind of future that we're heading into. Well, it's 328 00:20:47,400 --> 00:20:49,640 Speaker 1: pretty clear that it will all be documented, right, will 329 00:20:49,640 --> 00:20:53,160 Speaker 1: all be recorded at all times, including in our car 330 00:20:53,800 --> 00:20:57,040 Speaker 1: when we're on the highway, and so if our cars 331 00:20:57,080 --> 00:21:00,480 Speaker 1: are smart, they can drive themselves. Can we speak? Not 332 00:21:00,640 --> 00:21:02,720 Speaker 1: just can we you know, get away with it, but 333 00:21:02,960 --> 00:21:05,720 Speaker 1: can we will the cars stop us? Yeah? And that 334 00:21:05,760 --> 00:21:10,520 Speaker 1: would mean that we would actually reduce traffic fatalities. Right, Yeah, 335 00:21:10,840 --> 00:21:14,080 Speaker 1: we'll do that. We'll catch more criminals. I mean, in 336 00:21:14,200 --> 00:21:16,480 Speaker 1: some ways it could be good for public safety, but 337 00:21:16,960 --> 00:21:19,920 Speaker 1: it does worry me, especially for people who live in 338 00:21:20,200 --> 00:21:25,320 Speaker 1: authoritarian regimes around the world. I'm specifically thinking about the 339 00:21:25,400 --> 00:21:28,359 Speaker 1: fact that I'm gay and that's illegal in a lot 340 00:21:28,400 --> 00:21:30,560 Speaker 1: of countries. If I was trying to keep that a 341 00:21:30,640 --> 00:21:34,000 Speaker 1: secret from my government, um, with all these devices around, 342 00:21:34,040 --> 00:21:36,640 Speaker 1: I probably wouldn't be able to keep that a secret anymore. 343 00:21:37,000 --> 00:21:39,960 Speaker 1: And that's some really scary stuff. You know. Before I've 344 00:21:40,040 --> 00:21:43,399 Speaker 1: never been very ideological about privacy, but have known other 345 00:21:43,480 --> 00:21:45,760 Speaker 1: people who have been, and I have to say that 346 00:21:45,920 --> 00:21:48,679 Speaker 1: reporting this story, I started to get it. I started 347 00:21:48,720 --> 00:21:52,359 Speaker 1: to understand why people are scared. I mean, it starts 348 00:21:52,400 --> 00:22:02,600 Speaker 1: to feel invasive. So James Bates, the man in Arkansas 349 00:22:02,720 --> 00:22:05,720 Speaker 1: who hosted the hot tub party, is being tried for 350 00:22:05,920 --> 00:22:10,520 Speaker 1: first degree murder. Nico, did they find anything on Amazon servers? 351 00:22:10,800 --> 00:22:14,200 Speaker 1: I wish I knew, but unfortunately we don't know. Not yet. 352 00:22:14,840 --> 00:22:17,480 Speaker 1: Law enforcement only got access to the Echo Dada in March, 353 00:22:17,920 --> 00:22:21,200 Speaker 1: and the prosecution hasn't made its case, so any information 354 00:22:21,359 --> 00:22:24,480 Speaker 1: that was gleaned from Amazon's records won't be made public 355 00:22:24,560 --> 00:22:28,480 Speaker 1: until later this year. What investigators did find, though, was 356 00:22:28,560 --> 00:22:31,720 Speaker 1: that the Amazon Echo was not the only smart device 357 00:22:31,760 --> 00:22:35,760 Speaker 1: in James's house. A central part of the lead detective's 358 00:22:35,840 --> 00:22:38,560 Speaker 1: argument to get an arrest warrant for the suspect is 359 00:22:38,600 --> 00:22:41,360 Speaker 1: the records from a smart water meter at the defendant's home. 360 00:22:41,920 --> 00:22:45,240 Speaker 1: Its data showed that someone used a lot of water 361 00:22:45,400 --> 00:22:48,400 Speaker 1: in the middle of the night, like one forty gallons 362 00:22:48,720 --> 00:22:51,960 Speaker 1: of water. The detective said the water was used to 363 00:22:52,040 --> 00:22:54,399 Speaker 1: hose down the hot tub area and get rid of 364 00:22:54,480 --> 00:22:58,280 Speaker 1: evidence of the crime. That would certainly explain the deck 365 00:22:58,400 --> 00:23:02,240 Speaker 1: dripping with water. James's lawyer says Victor's death was a 366 00:23:02,359 --> 00:23:05,600 Speaker 1: tragic accident that could have been caused by alcohol poisoning. 367 00:23:06,240 --> 00:23:09,240 Speaker 1: She claims his blood alcohol content is point three two, 368 00:23:09,760 --> 00:23:12,440 Speaker 1: which is four times the legal limit to drive in Arkansas. 369 00:23:13,680 --> 00:23:16,640 Speaker 1: The trial will start after a status conference in July. 370 00:23:17,200 --> 00:23:20,399 Speaker 1: Both sides will meet with the judge to schedule future hearings, 371 00:23:20,960 --> 00:23:23,920 Speaker 1: but in the meantime, Victor's loved ones are still processing 372 00:23:24,119 --> 00:23:34,600 Speaker 1: what happened that night. Just the things that surrounded I mean, 373 00:23:34,680 --> 00:23:38,119 Speaker 1: the guy's you know, my age, if not maybe a 374 00:23:38,240 --> 00:23:41,760 Speaker 1: year older than me. You know, you know, it puts 375 00:23:41,840 --> 00:23:44,879 Speaker 1: things kind of kind of hit home, you know, Uh, 376 00:23:45,119 --> 00:23:47,080 Speaker 1: if it could happen to him, could have happened to me. 377 00:23:48,520 --> 00:23:50,320 Speaker 1: It's just kind of, you know, it's kind of section 378 00:23:50,400 --> 00:23:51,919 Speaker 1: of faith that makes you wake up a little bit, 379 00:23:52,080 --> 00:23:55,320 Speaker 1: you know, you kind of stop taking things for granted 380 00:23:55,359 --> 00:24:00,560 Speaker 1: a little bit and kind of look at things. Yeah, 381 00:24:06,520 --> 00:24:09,280 Speaker 1: and that's it for this week's episode of Decrypton. Thanks 382 00:24:09,320 --> 00:24:11,800 Speaker 1: for listening. What do you think about this brave new 383 00:24:11,880 --> 00:24:14,800 Speaker 1: world we're entering? Please get in touch. You can record 384 00:24:14,920 --> 00:24:18,560 Speaker 1: a voice message and send it to Decrypted at Bloomberg 385 00:24:18,640 --> 00:24:21,879 Speaker 1: dot net. Also, I'm on Twitter at me go a 386 00:24:22,040 --> 00:24:25,560 Speaker 1: Grant and I'm at aki Eta seven. If you haven't already, 387 00:24:25,640 --> 00:24:29,040 Speaker 1: please subscribe to our show wherever you get your podcasts. 388 00:24:29,320 --> 00:24:32,000 Speaker 1: While you're there, please leave us a rating and a review. 389 00:24:32,240 --> 00:24:35,840 Speaker 1: It really helps more listeners Finder Show. This episode was 390 00:24:35,920 --> 00:24:39,480 Speaker 1: produced by Pio gott Kari, Liz Smith, and Magnus Hendrickson. 391 00:24:40,000 --> 00:24:43,240 Speaker 1: Alec McCabe is head of Bloomberg Podcasts. We'll see you 392 00:24:43,359 --> 00:24:50,240 Speaker 1: next Week. Decrypted is brought to you by red Hat, 393 00:24:50,400 --> 00:24:53,880 Speaker 1: whose broad portfolio of open source technologies for the enterprise 394 00:24:54,000 --> 00:24:56,080 Speaker 1: helps you get from where you are to where you 395 00:24:56,160 --> 00:24:59,520 Speaker 1: want to be. Red Hat the open technology to help 396 00:24:59,600 --> 00:25:02,240 Speaker 1: you real as your vision. Learn more at red hat 397 00:25:02,320 --> 00:25:03,840 Speaker 1: dot com, slash open tech