1 00:00:02,520 --> 00:00:09,160 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to Bloomberg 2 00:00:09,240 --> 00:00:13,760 Speaker 1: BusinessWeek with Carol Masser and Tim Steneveek on Bloomberg Radio. 3 00:00:14,080 --> 00:00:17,160 Speaker 2: As more and more companies adopt AI and more consumers 4 00:00:17,280 --> 00:00:19,599 Speaker 2: use it, the more we learn about the potential flaws 5 00:00:19,920 --> 00:00:23,040 Speaker 2: of the technology. For example, Carol, maybe you remember last 6 00:00:23,079 --> 00:00:27,960 Speaker 2: year when Google's AI suggested that everybody should just beat 7 00:00:28,040 --> 00:00:29,200 Speaker 2: a rock every day. 8 00:00:29,320 --> 00:00:30,240 Speaker 3: Not a good idea. 9 00:00:30,320 --> 00:00:33,479 Speaker 2: Well, they said, rocks have minerals and vitamins that are 10 00:00:33,560 --> 00:00:35,280 Speaker 2: quote important for digestive health. 11 00:00:35,400 --> 00:00:35,720 Speaker 1: Got it. 12 00:00:35,840 --> 00:00:38,400 Speaker 3: I understand that logic, but still not a good idea. 13 00:00:38,520 --> 00:00:40,000 Speaker 2: Or just a few weeks ago, in the Fable app, 14 00:00:40,040 --> 00:00:43,519 Speaker 2: which calls itself the social app for bookworms and binge watchers, 15 00:00:43,520 --> 00:00:46,240 Speaker 2: found itself having to apologize after some of its AI 16 00:00:46,320 --> 00:00:49,400 Speaker 2: generated reader summaries contained what the company ended up calling 17 00:00:49,479 --> 00:00:53,360 Speaker 2: quote very bigoted, racist language. Fable then remove these features 18 00:00:53,880 --> 00:00:57,160 Speaker 2: from the app. It's an evolving world, Yeah absolutely. Padma 19 00:00:57,200 --> 00:00:59,680 Speaker 2: Warrior is founder, president and a CEO of Fable. She's 20 00:00:59,680 --> 00:01:02,880 Speaker 2: also the former CTO of Motorola and Cisco, also the 21 00:01:02,880 --> 00:01:05,760 Speaker 2: former CEO of the US arm of the Chinese ev 22 00:01:05,880 --> 00:01:08,559 Speaker 2: maker Neo. She was on the board of Microsoft until 23 00:01:08,560 --> 00:01:11,280 Speaker 2: twenty twenty three. She's on the board of Spotify as well. 24 00:01:11,319 --> 00:01:14,720 Speaker 2: She joins us this afternoon from Palo Alto Padma. Good 25 00:01:14,720 --> 00:01:15,720 Speaker 2: to have you with us. How are you? 26 00:01:17,000 --> 00:01:18,919 Speaker 4: Thank you for having me. I'm doing well. 27 00:01:19,360 --> 00:01:22,120 Speaker 2: So I'm curious about Fable. A lot of people are 28 00:01:22,160 --> 00:01:26,920 Speaker 2: familiar with it because people use it for rating books, 29 00:01:27,680 --> 00:01:31,840 Speaker 2: finding books, same with stuff we watch on the bigger screen. 30 00:01:33,080 --> 00:01:35,319 Speaker 2: You're the lesson though. The takeaway from AI you guys 31 00:01:35,319 --> 00:01:38,440 Speaker 2: were so quick to come out and apologize for it. 32 00:01:38,880 --> 00:01:41,880 Speaker 2: Take action, be public about it. What were the What 33 00:01:42,240 --> 00:01:43,440 Speaker 2: did you learn from that incident? 34 00:01:44,880 --> 00:01:48,200 Speaker 4: Yeah? I know. Fable is a community platform. 35 00:01:48,480 --> 00:01:52,480 Speaker 5: We focus on helping people find, by track, and share 36 00:01:52,600 --> 00:01:57,640 Speaker 5: all their entertainment interests in one personalized space. We have 37 00:01:57,880 --> 00:02:01,760 Speaker 5: users from all over the world onward and ninety five countries, 38 00:02:02,240 --> 00:02:05,800 Speaker 5: and our mission is to celebrate human creative tea in 39 00:02:05,840 --> 00:02:10,000 Speaker 5: the form of stories. So the incidents you are referring to, 40 00:02:10,280 --> 00:02:14,240 Speaker 5: we were using generative AI to create a summary for 41 00:02:14,320 --> 00:02:19,520 Speaker 5: readers based on their reading lists, and regrettably it served 42 00:02:19,520 --> 00:02:24,240 Speaker 5: a few readers with hurtful, unacceptable commentary related to race. 43 00:02:25,040 --> 00:02:27,200 Speaker 4: We apologized, as you mentioned. 44 00:02:27,000 --> 00:02:30,800 Speaker 5: Very quickly removed these gen ai features from our platform. 45 00:02:31,520 --> 00:02:34,400 Speaker 5: To me, they were very A couple of key lessons 46 00:02:34,440 --> 00:02:39,320 Speaker 5: that we learned. One is it's really important to have 47 00:02:39,360 --> 00:02:42,800 Speaker 5: a human in the loop. In these early days of 48 00:02:42,960 --> 00:02:48,359 Speaker 5: Generator Ai. It is essential to carry out really extensive 49 00:02:48,480 --> 00:02:50,760 Speaker 5: beta testing, and we did a lot of testing, by 50 00:02:50,760 --> 00:02:55,320 Speaker 5: the way, for our feature, but even with all the testing, 51 00:02:55,440 --> 00:02:57,919 Speaker 5: you're bound to have an issue. So I think it's 52 00:02:58,000 --> 00:03:01,079 Speaker 5: really really important to have human in the loop approach. 53 00:03:01,560 --> 00:03:07,280 Speaker 5: The second is transparency and listening to community feedback when 54 00:03:07,440 --> 00:03:11,120 Speaker 5: someone I think our mission, our philosophy at our company 55 00:03:11,200 --> 00:03:14,400 Speaker 5: is even when we do something with our product, which 56 00:03:14,440 --> 00:03:18,040 Speaker 5: generator wai, even if it hurts one person, we take 57 00:03:18,080 --> 00:03:21,400 Speaker 5: it very seriously. So I think that level of transparency 58 00:03:21,440 --> 00:03:24,840 Speaker 5: and being close to listening to the community and users 59 00:03:25,240 --> 00:03:28,520 Speaker 5: and having the ability to react quickly, those are two 60 00:03:28,560 --> 00:03:31,840 Speaker 5: big lessons that we learned and I hope other entrepreneurs 61 00:03:31,880 --> 00:03:32,360 Speaker 5: follow this. 62 00:03:33,600 --> 00:03:35,360 Speaker 3: How much is it that just we're kind of early 63 00:03:35,400 --> 00:03:37,480 Speaker 3: in on this process. I'm not excusing any of it 64 00:03:37,520 --> 00:03:41,880 Speaker 3: that goes, you know, it goes like it did for 65 00:03:41,920 --> 00:03:44,040 Speaker 3: you guys. But is it a case of it's only 66 00:03:44,040 --> 00:03:46,920 Speaker 3: as good as its input, and that is it a 67 00:03:46,960 --> 00:03:49,680 Speaker 3: fair assumption. How do you see you understand the tech world, 68 00:03:49,680 --> 00:03:51,800 Speaker 3: and I'm sure you're looking closely, you know at AI 69 00:03:51,920 --> 00:03:56,280 Speaker 3: right now that the more we put in better, cleaner information, 70 00:03:56,480 --> 00:03:57,760 Speaker 3: the better it gets. 71 00:03:58,600 --> 00:03:58,840 Speaker 4: Yeah. 72 00:03:58,840 --> 00:04:01,480 Speaker 5: Absolutely, And I think there is a lot of confusion. 73 00:04:01,680 --> 00:04:05,320 Speaker 5: People sometimes confuse AI the generative AI. I think it's 74 00:04:05,360 --> 00:04:09,320 Speaker 5: important to perhaps distinguish a little bit, at least broadly, 75 00:04:09,680 --> 00:04:13,560 Speaker 5: the difference between the two. You know, I think as 76 00:04:13,600 --> 00:04:16,120 Speaker 5: you guys probably know, and I'm not sure how much 77 00:04:16,320 --> 00:04:17,720 Speaker 5: how much people realize this. 78 00:04:17,839 --> 00:04:18,159 Speaker 4: Though. 79 00:04:18,600 --> 00:04:22,400 Speaker 5: AI processes data to analyze it and provide us with 80 00:04:22,560 --> 00:04:27,920 Speaker 5: predictions and insight, for example, performing tasks like identifying objects 81 00:04:27,920 --> 00:04:32,640 Speaker 5: in images, converting speech to tests, recommendations, all of this thing, 82 00:04:33,200 --> 00:04:37,400 Speaker 5: generative AI is different. It creates new content based on 83 00:04:37,920 --> 00:04:41,960 Speaker 5: the data that it has learned from. So generative AI 84 00:04:42,080 --> 00:04:46,240 Speaker 5: can create text, can create images, can create music videos. 85 00:04:45,839 --> 00:04:46,320 Speaker 4: All of this. 86 00:04:46,920 --> 00:04:50,880 Speaker 5: I find that generative AI it's developing very quickly and 87 00:04:51,040 --> 00:04:55,800 Speaker 5: very fast, and it's really really important because as I said, 88 00:04:56,160 --> 00:05:01,440 Speaker 5: even the best AI needs human oversight at the stage. 89 00:05:01,960 --> 00:05:04,679 Speaker 5: As you pointed out, it's only as good as the input. 90 00:05:04,760 --> 00:05:08,720 Speaker 5: So it's really important to train generative AI algorithms and 91 00:05:08,839 --> 00:05:12,679 Speaker 5: actually even AI on data sets that are culturally literate 92 00:05:12,880 --> 00:05:16,840 Speaker 5: and sensitive, because even as humans, we are evolving, right, 93 00:05:17,000 --> 00:05:20,080 Speaker 5: Like language that was used years ago is not acceptable 94 00:05:20,120 --> 00:05:25,000 Speaker 5: to us anymore, and it's really important to train our 95 00:05:25,120 --> 00:05:30,760 Speaker 5: algorithms and artificial intelligence so that it doesn't inadvertently promote 96 00:05:30,800 --> 00:05:32,800 Speaker 5: harmful stereotypes and biases. 97 00:05:34,440 --> 00:05:36,560 Speaker 3: So, okay and Tim and I are just kind of 98 00:05:36,600 --> 00:05:38,760 Speaker 3: like listening to So. I love first of all, your 99 00:05:38,880 --> 00:05:41,880 Speaker 3: distinction between generative AI and AI, and you're right to 100 00:05:41,880 --> 00:05:43,880 Speaker 3: make the distinction. AI has been around for a long 101 00:05:43,920 --> 00:05:48,599 Speaker 3: time in terms of what happened on your app, and 102 00:05:48,680 --> 00:05:54,200 Speaker 3: the information that certainly was not welcomed was that gen 103 00:05:54,279 --> 00:05:56,840 Speaker 3: ai or regular ai, that. 104 00:05:56,920 --> 00:05:57,600 Speaker 4: Was jen Ai. 105 00:05:58,240 --> 00:06:01,120 Speaker 5: We were saying gen Ai in three of our features 106 00:06:01,120 --> 00:06:04,000 Speaker 5: on the product, and we had issue with one of them, 107 00:06:04,080 --> 00:06:07,240 Speaker 5: but we actually pulled all three features back. We launched 108 00:06:07,279 --> 00:06:11,320 Speaker 5: two of them back without Genai and using human creativity, 109 00:06:11,880 --> 00:06:15,200 Speaker 5: so that our community actually is actually more happy now 110 00:06:15,240 --> 00:06:16,240 Speaker 5: with those features. 111 00:06:16,520 --> 00:06:20,039 Speaker 2: Do you think you can relaunch the genai feature eventually? 112 00:06:21,640 --> 00:06:22,800 Speaker 4: I think it'll take us. 113 00:06:23,160 --> 00:06:26,280 Speaker 5: I think for us we need to be really cautious because, 114 00:06:26,320 --> 00:06:29,160 Speaker 5: as I said, if you look at the statistics, right, 115 00:06:29,240 --> 00:06:33,680 Speaker 5: it was like ten possible issues out of thirty million 116 00:06:33,839 --> 00:06:36,240 Speaker 5: that we did. But even that small ratio, I think 117 00:06:36,279 --> 00:06:39,440 Speaker 5: the interesting thing for me, at least with genai, the 118 00:06:39,520 --> 00:06:42,520 Speaker 5: testing can't just be quantified and say we had a 119 00:06:42,600 --> 00:06:46,200 Speaker 5: very small percentage of failure, so we should release this feature, 120 00:06:46,839 --> 00:06:50,120 Speaker 5: because as I said, even one harmful comment and one 121 00:06:50,200 --> 00:06:54,080 Speaker 5: hurtful comment is bad, and so how do you find 122 00:06:54,120 --> 00:06:57,080 Speaker 5: that in millions and millions that you're creating. So I 123 00:06:57,120 --> 00:07:00,000 Speaker 5: think at this stage we will probably not use genai 124 00:07:00,160 --> 00:07:03,440 Speaker 5: for those sorts of features, and I think we will 125 00:07:03,440 --> 00:07:06,200 Speaker 5: continue to work on it to train our models and 126 00:07:06,240 --> 00:07:08,479 Speaker 5: algorithms in the right way. 127 00:07:09,160 --> 00:07:13,680 Speaker 3: Do you think that the government should be more involved 128 00:07:13,800 --> 00:07:18,200 Speaker 3: or should be very closely involved with oversight of AI. 129 00:07:20,160 --> 00:07:20,640 Speaker 4: I'm not sure. 130 00:07:21,160 --> 00:07:24,040 Speaker 5: Yeah, I think it's difficult, I think, but so much 131 00:07:24,160 --> 00:07:27,920 Speaker 5: broad usage, I don't know if government should be involved, 132 00:07:27,920 --> 00:07:30,640 Speaker 5: but there should certainly be guardrailed. I think it's up 133 00:07:30,720 --> 00:07:34,840 Speaker 5: to technology development teams and companies to put those guardrails 134 00:07:34,840 --> 00:07:38,040 Speaker 5: and safeguards because there's broad sets of use cases. They're 135 00:07:38,120 --> 00:07:41,960 Speaker 5: very specific sets of use cases. But yeah, definitely there 136 00:07:42,000 --> 00:07:45,360 Speaker 5: should be policy that guides us at an overarching level 137 00:07:46,120 --> 00:07:49,440 Speaker 5: so that we could use that like anything we govern 138 00:07:49,560 --> 00:07:52,560 Speaker 5: right with technology. I think that is the role that 139 00:07:52,640 --> 00:07:53,600 Speaker 5: government should play. 140 00:07:54,920 --> 00:07:56,760 Speaker 2: What about when it comes to TikTok. It's in the 141 00:07:56,800 --> 00:08:00,520 Speaker 2: news right now, obviously because of that Supreme Court ruling 142 00:08:00,520 --> 00:08:02,880 Speaker 2: that we got. The future of the fate of the 143 00:08:02,920 --> 00:08:05,200 Speaker 2: app is uncertain. What are your thoughts on it. 144 00:08:06,520 --> 00:08:11,280 Speaker 5: We actually are a welcoming community to a big part 145 00:08:11,320 --> 00:08:13,760 Speaker 5: of TikTok called book talk. Book talk is one of 146 00:08:13,760 --> 00:08:17,120 Speaker 5: the largest communities on TikTok, and the last report I 147 00:08:17,200 --> 00:08:22,240 Speaker 5: read it said hashtag book talk is used by billions 148 00:08:22,280 --> 00:08:23,440 Speaker 5: of times across the board. 149 00:08:23,480 --> 00:08:25,000 Speaker 4: It's a very large community. 150 00:08:25,760 --> 00:08:29,080 Speaker 5: We definitely feel we're a safe haven for book talkers 151 00:08:29,120 --> 00:08:32,960 Speaker 5: on fable. Actually, people we do have quite a lot 152 00:08:32,960 --> 00:08:35,839 Speaker 5: of book talk influences today on Fable and a lot of. 153 00:08:35,760 --> 00:08:37,559 Speaker 4: People who use both platforms. 154 00:08:38,200 --> 00:08:41,080 Speaker 5: Many people that are currently on TikTok in book talk 155 00:08:41,160 --> 00:08:45,000 Speaker 5: call us the coziest, called fable as the cosiest corner 156 00:08:45,040 --> 00:08:47,520 Speaker 5: of the Internet. So we hope to be that and 157 00:08:47,559 --> 00:08:49,920 Speaker 5: we hope to welcome communities like that. I think the 158 00:08:49,960 --> 00:08:51,959 Speaker 5: good thing about TikTok, and I think what it has 159 00:08:52,040 --> 00:08:56,000 Speaker 5: shown us is that there is a power to creation 160 00:08:56,360 --> 00:09:00,320 Speaker 5: and community and that is sort of like neededeople to 161 00:09:00,400 --> 00:09:02,000 Speaker 5: express themselves, belong in. 162 00:09:01,920 --> 00:09:04,920 Speaker 4: A community, and be with like minded people. 163 00:09:05,640 --> 00:09:08,000 Speaker 5: So we definitely hope we will be the haven for 164 00:09:08,080 --> 00:09:11,559 Speaker 5: people that are currently on TikTok if it gets banned 165 00:09:11,640 --> 00:09:12,959 Speaker 5: or it is not allowed to. 166 00:09:12,880 --> 00:09:15,360 Speaker 2: Be used in You have two million users around the world. 167 00:09:15,360 --> 00:09:17,240 Speaker 2: Have you seen an uptake in the last couple of weeks. 168 00:09:17,240 --> 00:09:21,400 Speaker 2: Have people come into the platform in anticipation of this, Yes, we've. 169 00:09:21,240 --> 00:09:24,840 Speaker 5: Seen a huge uptick in the last four weeks, actually 170 00:09:24,840 --> 00:09:26,400 Speaker 5: even before when you started. 171 00:09:27,040 --> 00:09:28,800 Speaker 4: So we are just really hoping. 172 00:09:28,520 --> 00:09:32,800 Speaker 5: That this continues and we can host and welcome these 173 00:09:32,840 --> 00:09:34,160 Speaker 5: communities onto Fable. 174 00:09:34,240 --> 00:09:35,960 Speaker 2: So it sounds like a ban of TikTok would be 175 00:09:35,960 --> 00:09:37,240 Speaker 2: really good for Fable. 176 00:09:38,600 --> 00:09:41,120 Speaker 5: I think either way, like I said, we were we 177 00:09:41,360 --> 00:09:44,400 Speaker 5: had a lot of book talkers come to Fable. 178 00:09:44,480 --> 00:09:45,800 Speaker 4: Even with book talk, it is. 179 00:09:45,880 --> 00:09:49,200 Speaker 5: Very complimentary in the use case, so it's not like 180 00:09:49,280 --> 00:09:51,480 Speaker 5: we are routing for that to be banned or anything. 181 00:09:52,520 --> 00:09:56,200 Speaker 5: I think for us, TikTok continues, that's great because that 182 00:09:56,280 --> 00:09:59,880 Speaker 5: community will thrive and we will thrive with it. Unfortunately 183 00:10:00,160 --> 00:10:02,880 Speaker 5: that community goes away. We want to be the alternative 184 00:10:02,960 --> 00:10:03,960 Speaker 5: for people who love. 185 00:10:03,840 --> 00:10:06,760 Speaker 4: Books and TV shows and stories in general. 186 00:10:07,679 --> 00:10:11,800 Speaker 3: What would people maybe find surprising about your app and 187 00:10:12,360 --> 00:10:15,000 Speaker 3: the kind of activity that goes on. What is it 188 00:10:15,360 --> 00:10:18,920 Speaker 3: that you think might be a bit surprising A. 189 00:10:19,240 --> 00:10:21,959 Speaker 5: You know, I think that's a great question. I started 190 00:10:22,040 --> 00:10:25,800 Speaker 5: this company because I really wanted to bring the technology 191 00:10:25,840 --> 00:10:29,400 Speaker 5: world and the creative world together. At Fable, we say 192 00:10:29,440 --> 00:10:31,600 Speaker 5: we want to build a tech company with the soul 193 00:10:31,679 --> 00:10:35,160 Speaker 5: of an artist. So I feel we are very proud 194 00:10:35,200 --> 00:10:37,600 Speaker 5: of our design. We are very proud of the UI 195 00:10:37,800 --> 00:10:43,880 Speaker 5: that we create. It's beautiful. We celebrate human creation. Yet 196 00:10:43,920 --> 00:10:46,560 Speaker 5: we are a tech company. We're based, you know, I'm 197 00:10:46,600 --> 00:10:50,240 Speaker 5: based in Silicon Valley, our team is distributed. I think 198 00:10:50,240 --> 00:10:53,439 Speaker 5: people would find us to be unique in being able 199 00:10:53,480 --> 00:10:57,240 Speaker 5: to bring both of those together. The other thing that 200 00:10:57,320 --> 00:11:00,440 Speaker 5: I feel we are unique is we truly are a 201 00:11:00,559 --> 00:11:03,640 Speaker 5: platform if you love and every human loves stories. Right 202 00:11:03,679 --> 00:11:05,400 Speaker 5: at the end of the day, human beings are all 203 00:11:05,440 --> 00:11:08,240 Speaker 5: about the story we tell. If you love stories, we 204 00:11:08,320 --> 00:11:09,960 Speaker 5: are the destination for you. 205 00:11:10,000 --> 00:11:12,760 Speaker 3: Just got about twenty five seconds left here. How do 206 00:11:12,800 --> 00:11:14,760 Speaker 3: you make money and are you profitable? Just quickly? 207 00:11:15,760 --> 00:11:17,920 Speaker 4: We are very still early. We're a startup. 208 00:11:18,840 --> 00:11:22,160 Speaker 5: We you know, we are not yet quite monetizing the platform. 209 00:11:22,200 --> 00:11:23,560 Speaker 4: We'll begin to do that effort. 210 00:11:23,600 --> 00:11:26,360 Speaker 5: Today, the platform is free, which makes it easy for 211 00:11:26,440 --> 00:11:27,199 Speaker 5: people to join. 212 00:11:28,080 --> 00:11:31,199 Speaker 3: Will it be the subscription based ultimately or is that 213 00:11:31,280 --> 00:11:34,000 Speaker 3: the that's the revenue stream going forward quickly? 214 00:11:34,559 --> 00:11:38,360 Speaker 5: Yes. Yes, we will launch a subscription here soon and 215 00:11:38,440 --> 00:11:41,640 Speaker 5: hope to add traditional value added features for people to 216 00:11:41,720 --> 00:11:45,319 Speaker 5: track their links, to track of their progress, you know, 217 00:11:45,480 --> 00:11:47,880 Speaker 5: keep track of what interests their life, et cetera. 218 00:11:48,160 --> 00:11:50,920 Speaker 3: Got it come back? We'd love to hear more over 219 00:11:50,920 --> 00:11:54,360 Speaker 3: the year. Padna Warrior, founder president CEO of Fable joining 220 00:11:54,440 --> 00:11:57,120 Speaker 3: us on this Friday. This is Bloomberg Business Week