1 00:00:03,520 --> 00:00:07,040 Speaker 1: Welcome to the Bloomberg Law Podcast. I'm June Grosso. Every 2 00:00:07,120 --> 00:00:09,680 Speaker 1: day we bring you insight an analysis into the most 3 00:00:09,720 --> 00:00:12,200 Speaker 1: important legal news of the day. You can find more 4 00:00:12,240 --> 00:00:16,160 Speaker 1: episodes of the Bloomberg Law Podcast on Apple podcast, SoundCloud 5 00:00:16,280 --> 00:00:20,080 Speaker 1: and on Bloomberg dot com slash podcasts. A record fine 6 00:00:20,079 --> 00:00:23,000 Speaker 1: in a children's privacy case, YouTube will pay you one 7 00:00:23,040 --> 00:00:26,400 Speaker 1: hundred seventy million dollar fine and limit ads on kids 8 00:00:26,480 --> 00:00:29,680 Speaker 1: videos in order to settle claims that the company collected 9 00:00:30,040 --> 00:00:35,200 Speaker 1: children's personal data without their parents consent, violating children's privacy laws. 10 00:00:35,560 --> 00:00:37,840 Speaker 1: Joining me is Eric Goldman, director of the High Tech 11 00:00:37,920 --> 00:00:42,959 Speaker 1: Law Institute and professor at Santa Clara University Law School. So, Eric, 12 00:00:43,040 --> 00:00:47,440 Speaker 1: this fine is the largest the FTC has leveled against Google, 13 00:00:47,520 --> 00:00:50,520 Speaker 1: but it pales in comparison to the five billion dollar 14 00:00:50,640 --> 00:00:54,840 Speaker 1: fine the FTC imposed against Facebook this year, and two 15 00:00:55,080 --> 00:01:00,320 Speaker 1: FTC commissioners thought it wasn't enough. What's your take is 16 00:01:00,400 --> 00:01:03,360 Speaker 1: that despite the fact that Google and Facebook makes so 17 00:01:03,480 --> 00:01:06,440 Speaker 1: much money, the FTC is really breaking some new ground here. 18 00:01:07,000 --> 00:01:09,400 Speaker 1: The size of the find that the FTC is imposing 19 00:01:09,760 --> 00:01:12,720 Speaker 1: dwarfs anything that anyone's ever been able to get from 20 00:01:12,720 --> 00:01:16,200 Speaker 1: Google for privacy violation. So I think that the FTC 21 00:01:16,319 --> 00:01:18,200 Speaker 1: should be pretty pleased with itself that it's made as 22 00:01:18,240 --> 00:01:21,319 Speaker 1: much progress as it has. Let's talk about the compliance 23 00:01:21,400 --> 00:01:24,720 Speaker 1: part of the settlement, which may hamper YouTube's ability to 24 00:01:24,800 --> 00:01:29,000 Speaker 1: sell ads. What did YouTube agree to do? Well, one 25 00:01:29,040 --> 00:01:32,160 Speaker 1: of other things they agreed to basically try to find 26 00:01:32,640 --> 00:01:37,400 Speaker 1: automatically what channels are directed towards children, using algorithms and 27 00:01:37,440 --> 00:01:40,479 Speaker 1: machine learning to do so. And from my prostructive, that's 28 00:01:40,480 --> 00:01:44,960 Speaker 1: a really unprecedented move. Um, we haven't historically seen internet 29 00:01:44,959 --> 00:01:48,840 Speaker 1: company is required to prospectively look for a material that's 30 00:01:48,880 --> 00:01:52,040 Speaker 1: directed towards children. So this is a pretty major development, 31 00:01:52,160 --> 00:01:54,760 Speaker 1: both from a regular air standpoint as well as from 32 00:01:54,800 --> 00:01:58,280 Speaker 1: a machine learning and algorithm standpoint. Will it work? Will 33 00:01:58,320 --> 00:02:00,960 Speaker 1: they be able to find the content? Well, that's a 34 00:02:01,000 --> 00:02:03,560 Speaker 1: really good question, um, And that's a question that we 35 00:02:03,640 --> 00:02:05,480 Speaker 1: probably ought to have a checkpoint on in a few 36 00:02:05,560 --> 00:02:08,560 Speaker 1: years and revisit. We know that machine learning is getting 37 00:02:08,560 --> 00:02:11,440 Speaker 1: pretty good, but really trying to reduce what's going to 38 00:02:11,520 --> 00:02:14,760 Speaker 1: appeal to children it doesn't strike me as the easiest 39 00:02:14,840 --> 00:02:17,839 Speaker 1: type of thing to train an algorithm to do. And 40 00:02:18,120 --> 00:02:22,360 Speaker 1: what about the ads that YouTube would be selling in 41 00:02:22,440 --> 00:02:26,480 Speaker 1: connection with children's programming, will it still be able to 42 00:02:26,480 --> 00:02:30,560 Speaker 1: target children and their practices. Well, one other thing that's 43 00:02:30,560 --> 00:02:32,760 Speaker 1: required to flush all the data that has gathered that 44 00:02:32,840 --> 00:02:36,160 Speaker 1: the FTC believes is ill gotten, So that's going to 45 00:02:36,280 --> 00:02:39,600 Speaker 1: hamper its ability to use the legacy data and is 46 00:02:39,680 --> 00:02:42,960 Speaker 1: prohibited from continue to do that in the future. Google 47 00:02:43,040 --> 00:02:45,560 Speaker 1: and other tech giants, as we've discussed before, have faced 48 00:02:45,560 --> 00:02:50,880 Speaker 1: these fines over practices also involving children, and Google's under 49 00:02:50,880 --> 00:02:56,360 Speaker 1: agreement with the FTC that it was fined in for violating. 50 00:02:56,400 --> 00:03:02,720 Speaker 1: So how much can we trust in this particular agreement. Well, 51 00:03:02,760 --> 00:03:06,720 Speaker 1: that's an interesting question because on the one hand, there's 52 00:03:06,760 --> 00:03:09,440 Speaker 1: good reason to believe that there are other privacy violations 53 00:03:09,440 --> 00:03:12,919 Speaker 1: Google is committed, and really there's no there's no limit 54 00:03:12,960 --> 00:03:16,200 Speaker 1: to where our imagination could take us with the crazy 55 00:03:16,240 --> 00:03:18,480 Speaker 1: things that Google might be doing. On the other hand, 56 00:03:18,560 --> 00:03:22,679 Speaker 1: this is an example that between the FTCs find of 57 00:03:22,919 --> 00:03:26,080 Speaker 1: Facebook and the fine here of Google, that the FTC 58 00:03:26,240 --> 00:03:29,080 Speaker 1: is paying attention to these questions and they are our 59 00:03:29,160 --> 00:03:33,000 Speaker 1: champions as consumers. So on the one hand, I'm nervous 60 00:03:33,040 --> 00:03:35,640 Speaker 1: about all the crazy things that could be taking place. 61 00:03:35,640 --> 00:03:37,800 Speaker 1: On the other hand, I'm comforted that we know that 62 00:03:37,840 --> 00:03:41,840 Speaker 1: the FTC is paying attention instigation. Is this an indication 63 00:03:42,160 --> 00:03:46,920 Speaker 1: of the growing pressure that big tech may face in 64 00:03:46,960 --> 00:03:50,800 Speaker 1: its practices with miners? Unquestionably, there's a lot of interest 65 00:03:50,840 --> 00:03:53,840 Speaker 1: in how in our companies are interacting with miners, and 66 00:03:53,920 --> 00:03:58,000 Speaker 1: that's a global phenomenon. Everyone is concerned about the impact 67 00:03:58,160 --> 00:04:01,680 Speaker 1: of technology on miners. I don't think that the FTC 68 00:04:02,160 --> 00:04:04,320 Speaker 1: is in a unique position that way. I think that 69 00:04:04,360 --> 00:04:06,880 Speaker 1: they are also interested in but they are given this 70 00:04:07,000 --> 00:04:09,760 Speaker 1: special authority by Congress under the law that the FTC 71 00:04:09,960 --> 00:04:13,000 Speaker 1: enforced here, and so I think that the FTC feels 72 00:04:13,000 --> 00:04:17,719 Speaker 1: a responsibility to be proactively looking for ways to protect 73 00:04:17,760 --> 00:04:20,960 Speaker 1: children online. So I do see this as part of 74 00:04:21,000 --> 00:04:23,320 Speaker 1: a larger trend. But I don't think that this particular 75 00:04:23,360 --> 00:04:26,400 Speaker 1: settlement is anything unusual. This is what the FTC has 76 00:04:26,400 --> 00:04:29,440 Speaker 1: been asked to do and is doing. And what about 77 00:04:29,720 --> 00:04:34,080 Speaker 1: practices of Facebook and Amazon that have been critiqued. Yeah, 78 00:04:34,120 --> 00:04:36,400 Speaker 1: I don't have any unique insights about that, but I 79 00:04:36,440 --> 00:04:38,160 Speaker 1: do think that it is time to ask some of 80 00:04:38,200 --> 00:04:40,960 Speaker 1: those questions. Are there things that are hurting kids that 81 00:04:41,000 --> 00:04:43,600 Speaker 1: we need to be protecting. Amazon is in a slightly 82 00:04:43,680 --> 00:04:46,840 Speaker 1: different position because in theory, in order to be making 83 00:04:46,880 --> 00:04:49,320 Speaker 1: acquisitions on Amazon, you need a credit card, which kids 84 00:04:49,440 --> 00:04:53,159 Speaker 1: ordinarily aren't supposed to have, although increasingly they probably are. 85 00:04:53,640 --> 00:04:56,880 Speaker 1: But certainly Facebook has tried in the past to screen 86 00:04:56,960 --> 00:04:59,760 Speaker 1: out underage users. They in fact did a deal a 87 00:05:00,040 --> 00:05:02,280 Speaker 1: kay to Go that was designed to keep the under 88 00:05:02,320 --> 00:05:06,000 Speaker 1: thirteen users from accessing the service. The reality of courses 89 00:05:06,040 --> 00:05:09,160 Speaker 1: that we know that they are underage users on Facebook, 90 00:05:09,200 --> 00:05:13,520 Speaker 1: and so because of that generalized knowledge that Facebook has, 91 00:05:13,640 --> 00:05:15,240 Speaker 1: there's some risks that they're going to have to do 92 00:05:15,279 --> 00:05:18,360 Speaker 1: more to keep the kids off and keep any remaining 93 00:05:18,440 --> 00:05:21,279 Speaker 1: kids safe. The big question that I've been thinking about 94 00:05:21,279 --> 00:05:24,560 Speaker 1: as we've discussed this is can anything work if the 95 00:05:24,640 --> 00:05:28,680 Speaker 1: parents aren't involved in policing their children. I don't even 96 00:05:28,720 --> 00:05:31,320 Speaker 1: know what that means anymore. To be honest with you, Um, 97 00:05:31,440 --> 00:05:34,080 Speaker 1: you know what they do on the internet, And so 98 00:05:34,160 --> 00:05:37,240 Speaker 1: I have kids. My children are seventeen and fourteen, so 99 00:05:37,320 --> 00:05:40,280 Speaker 1: there's a really perfect age for me to answer this question. 100 00:05:40,680 --> 00:05:43,360 Speaker 1: On the one hand, I am nervous about where they're 101 00:05:43,360 --> 00:05:45,960 Speaker 1: going online if they understand the consequences of that, and 102 00:05:46,279 --> 00:05:49,440 Speaker 1: unquestionably with my conversation with them, I've seen some examples 103 00:05:49,440 --> 00:05:52,760 Speaker 1: where that's not the case. However, I also want them 104 00:05:52,800 --> 00:05:55,400 Speaker 1: to have some freedom. It's their time to explore and 105 00:05:55,480 --> 00:05:58,440 Speaker 1: to grow and to make choices, some of which won't 106 00:05:58,440 --> 00:06:01,240 Speaker 1: be great as part of their learning process. I'm really 107 00:06:01,279 --> 00:06:03,200 Speaker 1: started as apparent about what to do. I know I 108 00:06:03,240 --> 00:06:04,839 Speaker 1: need to be evolved with what they do, but but 109 00:06:04,960 --> 00:06:07,599 Speaker 1: I can't be too involved. And that's a tough balance 110 00:06:07,640 --> 00:06:10,920 Speaker 1: of strike it is. I appreciate it. Thanks so much, Eric. 111 00:06:11,160 --> 00:06:13,520 Speaker 1: That's Eric Goldman. He's director of the High Tech Law 112 00:06:13,600 --> 00:06:17,919 Speaker 1: Institute and a professor at Santa Clara University Law School. 113 00:06:19,880 --> 00:06:22,840 Speaker 1: Thanks for listening to the Bloomberg Law Podcast. You can 114 00:06:22,880 --> 00:06:26,600 Speaker 1: subscribe and listen to the show on Apple podcast, SoundCloud, 115 00:06:26,680 --> 00:06:30,560 Speaker 1: and on Bloomberg dot com slash podcast. I'm June Brasso. 116 00:06:31,040 --> 00:06:32,320 Speaker 1: This is Bloomberg