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Facebook whistleblower Frances Haugen on social media accountability and transparency — Transcript

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  1. 0:09[Music]
  2. 0:10thank you
  3. 0:12[Music]
  4. 0:17the company's leadership knows how to
  5. 0:20make Facebook and Instagram safer but
  6. 0:22won't make the necessary changes because
  7. 0:24they have put their astronomical profits
  8. 0:26before people yesterday
  9. 0:29[Music]
  10. 0:39[Music]
  11. 0:41thank you
  12. 0:42[Music]
  13. 0:48the original book I set out to write was
  14. 0:51uh focused on the idea that people have
  15. 0:53a lot of reasons why they don't follow
  16. 0:54their hearts you know that they they're
  17. 0:56afraid of losing their jobs of losing
  18. 0:59whatever be impoverished losing their
  19. 1:01homes losing their spouses you know
  20. 1:02they're going to end up estranged from
  21. 1:04everything falling out of complacency
  22. 1:05and and I had all those experiences in
  23. 1:08my late 20s at the same time
  24. 1:10and I came back from it
  25. 1:12and I wanted to write a story about
  26. 1:15um that where do we find our strength
  27. 1:17like how do we stand up when we fall
  28. 1:18down because the hardest thing I did
  29. 1:20wasn't blow the whistle on Facebook but
  30. 1:22because I lived those experiences I was
  31. 1:24able to follow my heart and stand up in
  32. 1:26the truth
  33. 1:31hello and welcome to Washington Post
  34. 1:32Live I'm Kat zakreski a tech policy
  35. 1:35reporter here at the Washington Post and
  36. 1:38my guest today is the Facebook
  37. 1:39whistleblower who you might remember
  38. 1:41from Capitol Hill testimony in 2021
  39. 1:44Francis Haugen thank you so much for
  40. 1:46being with us here today at post live
  41. 1:49thank you for inviting me happy to be
  42. 1:51here
  43. 1:52and so you and I first met on a video
  44. 1:55call much like this almost two years ago
  45. 1:58when you were preparing to go public as
  46. 2:00the Facebook whistleblower can you tell
  47. 2:02me a little bit about your book The
  48. 2:05Power of one and what message you hope
  49. 2:07people take away from it
  50. 2:10you know we live in a world today where
  51. 2:14our information environment is more and
  52. 2:16more mediated by algorithms that you
  53. 2:20know are actually quite new you know
  54. 2:23even in the perspective of you know
  55. 2:25since section 230 was written you know
  56. 2:28our laws came from the 90s largely about
  57. 2:31technologies that were developed in the
  58. 2:3280s and now we spend a huge fraction of
  59. 2:37our Our Time online on systems where
  60. 2:39information is picked out using systems
  61. 2:41that weren't even really used in
  62. 2:44consumer products until the 19 19 the
  63. 2:472020s 20 teens 20 teens like 20 2011 I
  64. 2:51think it was the first year Facebook had
  65. 2:52an algorithmic feed
  66. 2:54um and one of the things I wanted was
  67. 2:56hoping that people would take away from
  68. 2:57it is I got to kind of see the Arc of a
  69. 3:00lot of these technological systems you
  70. 3:02know I worked on search quality at
  71. 3:03Google in the mid-2000s I worked on on
  72. 3:06ranking algorithms at Pinterest and in
  73. 3:08those very early seniors as like
  74. 3:11recommender systems were becoming a
  75. 3:13bigger and bigger part of our lives and
  76. 3:15then I got to be at face during the 2020
  77. 3:17election and see how how uh do the
  78. 3:20consequences of these systems play out
  79. 3:23when we don't have transparency and
  80. 3:25oversight and so I hope people take away
  81. 3:27from the book that we have ways of
  82. 3:29making the system safer we we have to
  83. 3:32act now that we are running out of time
  84. 3:34in terms of allowing the status quo to
  85. 3:37continue onwards and probably most
  86. 3:39importantly you know this is not a book
  87. 3:41just about social media it's about
  88. 3:43opaque technological systems so all the
  89. 3:46conversations we're having about
  90. 3:48generative AI about large language
  91. 3:50models those have lots of parallels to
  92. 3:54how we got in trouble with social media
  93. 3:55you know we can't inspect those systems
  94. 3:58we can't hold those systems accountable
  95. 4:00unless we pass laws that give the public
  96. 4:02the right to know
  97. 4:03and on that point about AI regulation
  98. 4:06President Biden is scheduled to meet
  99. 4:08later today with some consumer Advocates
  100. 4:10who you've worked for before you've
  101. 4:12worked with before Tristan Harris Jim
  102. 4:14steyer and others
  103. 4:16um I wanted to ask you I mean what
  104. 4:17should be the top priorities for the
  105. 4:19Biden Administration as they start to
  106. 4:21think about AI regulation
  107. 4:24I I know about that meeting
  108. 4:27I mean unfortunately in Europe uh right
  109. 4:29now so it it it
  110. 4:31um it it it life is about choices and
  111. 4:35you know prior commitments
  112. 4:37um I I think one of the major things we
  113. 4:39need to look at in terms of the risks of
  114. 4:42these AI systems is there are short-term
  115. 4:44high probability harms and there are
  116. 4:46longer term potentially higher uh
  117. 4:50magnitude harms but with ambiguous
  118. 4:52probabilities right so we we're spending
  119. 4:55a lot of time right now talking about
  120. 4:56hypothetical hypothetical existential
  121. 4:58risks so this is things like you know
  122. 5:01the AIS are going to wake up and come
  123. 5:02after us
  124. 5:04um and when we have very short-term very
  125. 5:08high probability risks like
  126. 5:10um information operations you know we
  127. 5:12already struggle with the role that
  128. 5:14social media has in our information
  129. 5:15environment once we have uh generative
  130. 5:19AIS you know a big part about how
  131. 5:22misinformation works is truth has to
  132. 5:25exist in a very narrow corridor you know
  133. 5:27there's there's one consensus reality
  134. 5:29you know misinformation gets to play
  135. 5:31across the entire Continuum of the
  136. 5:34information
  137. 5:34[Music]
  138. 5:35entire information continue
  139. 5:39um so they can have you know you can put
  140. 5:41an idea out there and it is exactly the
  141. 5:43catnip that like resonates with some
  142. 5:45bias you have in your brain when you
  143. 5:47move on to having large language models
  144. 5:49you know that AI can now produce 10 000
  145. 5:52variants a hundred thousand variants and
  146. 5:54find exactly the thing that is going to
  147. 5:57go most viral and that's that's a really
  148. 5:59serious problem you know we we one of
  149. 6:02the major ways that we caught
  150. 6:03information operations at Facebook uh
  151. 6:06was by looking at repetition you know
  152. 6:07the same messages are being shared over
  153. 6:09and over again from the same sources you
  154. 6:11know in a world where you can have way
  155. 6:14more variation a lot of those tools go
  156. 6:16away and that doesn't mean that we don't
  157. 6:18have options you know one of the major
  158. 6:20projects I worked on at Facebook
  159. 6:23um was something around influence
  160. 6:24modeling like the idea that real humans
  161. 6:26have relationships with each other that
  162. 6:28we influence each other and you actually
  163. 6:30pick that out in the data you know I
  164. 6:32write about it in the book
  165. 6:34it's very very hard to fake that kind of
  166. 6:38data to fake real human long-term
  167. 6:41interactions in a way that doesn't stand
  168. 6:44out for being an aberration
  169. 6:47um the thing though is tech companies
  170. 6:49don't have incentives for using
  171. 6:51technology like that you know every fake
  172. 6:53user you take off your platform makes
  173. 6:55your company slightly less valuable
  174. 6:57because you have fewer users and so the
  175. 6:59thing I would I hope that that panel
  176. 7:01will will talk about is we need to not
  177. 7:06sit in parallel sphere we need to be
  178. 7:09acting to make sure that we put in place
  179. 7:10incentives that encourage positive uses
  180. 7:13of these technology and decrease uh the
  181. 7:17uh the chance that these major problems
  182. 7:19like labor force displacement happen in
  183. 7:22the short term
  184. 7:23and you've played a central role in the
  185. 7:26Congressional debate about how to
  186. 7:27regulate social media we're expecting
  187. 7:30Senate Majority Leader Schumer to
  188. 7:31outline his plan for how Congress can
  189. 7:33regulate AI tomorrow but what lessons do
  190. 7:37you think lawmakers can learn from their
  191. 7:39attempts to regulate social media as
  192. 7:41they set their sights on AI
  193. 7:44great question
  194. 7:46you know there's a lot of parallels like
  195. 7:47I mentioned before you know this is a
  196. 7:49book not so much about social media it's
  197. 7:51about opaque technological systems so
  198. 7:54that's you know in contrast in
  199. 7:57oh
  200. 7:59when you run through a rainstorm right
  201. 8:01before you go on Zoom like that's you
  202. 8:03gotta get yourself cold
  203. 8:06um and and you know for for most of the
  204. 8:0920th century we had an industrial system
  205. 8:11that was largely inspectable you know we
  206. 8:13could go and put a sensor outside a
  207. 8:15factory until the pollution was coming
  208. 8:17out of that factory we could take a
  209. 8:19product and run tests on it and say oh
  210. 8:21there's lead in this product you know we
  211. 8:23could take a car and we could crash it
  212. 8:25and say this car is unsafe in the
  213. 8:26following ways you know the gas tank is
  214. 8:28misinstalled and so this car is at risk
  215. 8:31for exploding
  216. 8:32um the uh the thing about our Modern
  217. 8:35Times And A lot of these AIS fall right
  218. 8:38in this bucket we can't inspect them
  219. 8:40right that it introduces a real power
  220. 8:43imbalance when the only people who get
  221. 8:46to have you know get to grade the
  222. 8:48homework of these companies are the
  223. 8:49companies themselves you know they know
  224. 8:51everything runs on the data center it's
  225. 8:53out of view the only people who get to
  226. 8:55see behind the curtain are the tech
  227. 8:57companies themselves
  228. 8:59um that's a that's a problem because as
  229. 9:01we saw social media companies cut
  230. 9:03corners
  231. 9:05so the the most basic thing I always say
  232. 9:07is we need to have uh rights for
  233. 9:09researchers so you companies need to
  234. 9:12make publicly accessible research apis
  235. 9:16um we need to if you're if your AI is
  236. 9:19not a consistent experience for all
  237. 9:21users you need to give ways of doing
  238. 9:23research on that because a huge part of
  239. 9:25what happened with Facebook or in social
  240. 9:27media in general is that every person
  241. 9:29gets a different experience it's much
  242. 9:31harder to do even basic accountability
  243. 9:33work on Facebook versus say Google
  244. 9:37um uh I think we need a consumer Bill of
  245. 9:39Rights right like you should be able to
  246. 9:41know how things are personalized to you
  247. 9:43you should be able to know how ads are
  248. 9:45targeted at you a lot of people are
  249. 9:47surprised with the idea that in China
  250. 9:48you're allowed to know what ad ad
  251. 9:51targeting criteria are being used to
  252. 9:52Target you but you know we don't have
  253. 9:54the right to know that
  254. 9:56um I think there's some things where in
  255. 9:57where the the European Union is going in
  256. 9:59a good direction in terms of
  257. 10:00transparency about content that is
  258. 10:02generated using um AI you know if you're
  259. 10:05looking at an image if you're looking at
  260. 10:06text that was written by a computer you
  261. 10:09know you should know that you're not
  262. 10:10having experiences mediated by another
  263. 10:12human right and then the last thing is I
  264. 10:14think we need to have a conversation
  265. 10:16about education like I think one of the
  266. 10:18places where um we are at risk for
  267. 10:20really creating more of like a two-tier
  268. 10:23Society is
  269. 10:25you know I and right now we have you
  270. 10:28know challenges with things like you
  271. 10:30have a kid with behavioral problems it's
  272. 10:32very expensive to hire a teaching Aid to
  273. 10:35make sure that kid can be around other
  274. 10:37kids
  275. 10:39um it's much cheaper to put them in a
  276. 10:40headset and have them go hang out in a
  277. 10:42metaverse classroom
  278. 10:44um and I one of the things that I think
  279. 10:45is going to be a place where AI it could
  280. 10:48be potentially very socially disruptive
  281. 10:49and I haven't heard enough conversations
  282. 10:51about it is you know Mark Zuckerberg
  283. 10:54said we're investing in AI to to enhance
  284. 10:57the metaverse so that means is you can
  285. 11:00put on your headset and you can have
  286. 11:02what feels like an authentic
  287. 11:03relationship with this robot
  288. 11:06um you know that that has a potential to
  289. 11:09be even more socially isolating than
  290. 11:10social media is today and I worry that
  291. 11:13the people that we're going to push
  292. 11:14towards these kind of um
  293. 11:17uh reductive social experiences are
  294. 11:20going to be people who are already
  295. 11:21marginalized in society you know instead
  296. 11:23of building senior centers or making
  297. 11:24sure we have senior Outreach you know
  298. 11:26we'll put grandma in the metaverse
  299. 11:27instead of hiring that Aid to make sure
  300. 11:29that kid can participate in school
  301. 11:31um with other with other children uh
  302. 11:33we'll put them in a virtual classroom
  303. 11:34and so these are all things where we
  304. 11:37should be having the conversations now
  305. 11:38and not waiting 20 years to be like oh
  306. 11:40how'd that happen
  307. 11:42and you talked a lot during your
  308. 11:44experience whistleblowing about the
  309. 11:45broken incentives for social media and
  310. 11:48putting profit above the risk of hate
  311. 11:50when you talk about those risks around
  312. 11:52loneliness and how AI might exacerbate
  313. 11:55some of those issues how can we change
  314. 11:57the incentive so that doesn't become our
  315. 11:59new reality
  316. 12:01great question
  317. 12:03um the so I think there's a couple
  318. 12:04things one is look before we even get to
  319. 12:07just the loneliness question like what's
  320. 12:08the more generalized incentives question
  321. 12:11um you know one of the things that
  322. 12:12frustrates me is uh you know open AI has
  323. 12:15spent more money on safety than I think
  324. 12:17basically any of the other big AI firms
  325. 12:20right like look at Facebook they fire
  326. 12:22their their AI safety team and then open
  327. 12:24source their model right like that
  328. 12:26that's about as as as different ends of
  329. 12:29the Continuum in terms of increasing
  330. 12:31generalized risk to society right you
  331. 12:35know uh they opening I could have gone
  332. 12:38even bigger Head Start and they chose to
  333. 12:40spend more time trying to figure out how
  334. 12:41to do the safety side right Facebook uh
  335. 12:44by by basically facilitating
  336. 12:47proliferation you know they they
  337. 12:49increase the number of players in the
  338. 12:51space by you know 100 000 coders you
  339. 12:53know 50 000 coders because they lower
  340. 12:56the the bar to entry so much
  341. 12:59um you know right now there's no Market
  342. 13:02incentive for acting in a safer way like
  343. 13:05safety takes time safety takes money all
  344. 13:09those things are are competitive
  345. 13:10disadvantages unless you have a system
  346. 13:13that gives additional rewards for acting
  347. 13:15in a safe Manner and one of the things
  348. 13:17that I I agree with Sam Altman on is
  349. 13:19that if you don't have conversations
  350. 13:21around incentives
  351. 13:24you're going to be in a situation where
  352. 13:27um
  353. 13:27you know if I'll give you an example
  354. 13:29like the Fortune 500 could come out and
  355. 13:31say hey we as a group have decided we
  356. 13:34are only going to buy products and
  357. 13:37services from companies that comply with
  358. 13:39a certain Base Bar of safety
  359. 13:41um you know if you're willing to uh you
  360. 13:44know comply in a way that shows you're
  361. 13:45being rigorous we're willing to direct
  362. 13:47economic resources towards you if you're
  363. 13:50not acting in a way that meets that
  364. 13:51safety bar we go sell to someone else
  365. 13:54right um that's a way of incentivizing
  366. 13:57good behavior
  367. 13:59um that is really meaningful because you
  368. 14:00will end up accelerating those good
  369. 14:02actors in a way that is is
  370. 14:04transformative
  371. 14:05um but that doesn't happen accidentally
  372. 14:07you know you have to have proactive
  373. 14:09involvement from people across Society
  374. 14:12saying hey we don't want to repeat what
  375. 14:13happened with social media we have to
  376. 14:15get out ahead of this
  377. 14:17and so on that point because you bring
  378. 14:20up social media again I know you write
  379. 14:22in your book and talk in interviews
  380. 14:23about how on the one-year anniversary of
  381. 14:26going public as the Facebook
  382. 14:27whistleblower everyone was asking you
  383. 14:29know what was the biggest impact and and
  384. 14:31would you do this again
  385. 14:33um but now almost two years later as we
  386. 14:35see things like the digital Service Act
  387. 14:37coming into Force things like the
  388. 14:39surgeon general's warning on children
  389. 14:41and social media recently I mean what do
  390. 14:43you think um was the biggest game
  391. 14:45changer of the Facebook files
  392. 14:48well I think the thing that I'm most
  393. 14:51personally proud of is
  394. 14:52um I one of the other things the
  395. 14:53European Union passed was whistleblower
  396. 14:55protections so in terms of things that I
  397. 14:58think are systematic
  398. 15:00um decreases of risk for society you
  399. 15:03know we we need whistleblowers right
  400. 15:05where when you have an economy that is
  401. 15:07run more and more by opaque systems
  402. 15:11um the people on the inside become
  403. 15:13critical
  404. 15:14um mechanisms of Public Safety like when
  405. 15:17you look at what I forgot the name of
  406. 15:19the organization it's like it's like the
  407. 15:20you know American Auditors Association
  408. 15:22or something like that like Financial
  409. 15:23Auditors like they don't call
  410. 15:25whistleblowers whistleblowers they call
  411. 15:27them Sentinels right because they're
  412. 15:29like the first line of defense
  413. 15:31um and so that's like the thing I think
  414. 15:33uh um I got to meet the woman
  415. 15:36um who was the Enron whistleblower who
  416. 15:39did a huge amount of work around passing
  417. 15:40the Whistleblower laws in the United
  418. 15:42States
  419. 15:43um and I felt it I felt honored to be
  420. 15:45part of her lineage because I got
  421. 15:46whistleblower protections because of her
  422. 15:48and I look forward to one day meeting a
  423. 15:50whistleblower who got whistleblower
  424. 15:52protections under that scheme but the
  425. 15:54second thing is you know I I really want
  426. 15:57to contextualize what the surgeon
  427. 15:59general's warning means in The Advisory
  428. 16:01means in the United States
  429. 16:03there have only been like 10 15 of these
  430. 16:05advisories since the 60s right uh
  431. 16:08they're things like uh smoking causes
  432. 16:11cancer
  433. 16:12um seat belts save lives breastfeeding
  434. 16:14helps children
  435. 16:16um these things are things where when I
  436. 16:18say them people are like yeah duh like
  437. 16:20cigarettes we all know that
  438. 16:22um but in the time period before those
  439. 16:24advisories came out there was a great
  440. 16:25deal of ambiguity
  441. 16:27and uh one of the things that has
  442. 16:28happened historically when one of those
  443. 16:30advisories takes place is within two to
  444. 16:33three years after it usually some kind
  445. 16:35of action moves forward
  446. 16:36we don't know what that action will take
  447. 16:38will it be a class action situation will
  448. 16:41it be a law will it be you know who
  449. 16:43knows but usually Society begins making
  450. 16:46movement in the time after those
  451. 16:47advisors come out and so uh you know if
  452. 16:50you had asked me two years ago because I
  453. 16:52love Facebook almost exactly two years
  454. 16:54ago right so I love Facebook about
  455. 16:57um like two years and one month ago I
  456. 16:58left Facebook
  457. 16:59um I came out you know three months from
  458. 17:02now in the future
  459. 17:03um four months from now in the future
  460. 17:05um but uh if you'd asked me is the
  461. 17:08Surgeon General going to make an
  462. 17:10advisory in the next two years
  463. 17:12you know I I don't think I would have
  464. 17:14ever said yes right like we were just
  465. 17:16not in that place as a society
  466. 17:18um and so uh I'm I'm really cautiously
  467. 17:21optimistic about what's going to unfold
  468. 17:22in the next couple years
  469. 17:24and on that experience of whistleblowing
  470. 17:26we have an audience question from Julie
  471. 17:29in California who asks have you
  472. 17:31experienced significant trouble getting
  473. 17:33work in the tech field since becoming a
  474. 17:35whistleblower
  475. 17:37so I uh I think if I wanted to go back
  476. 17:40to being a data scientist I don't think
  477. 17:42it would be a problem like I've gotten
  478. 17:44um I would say on the order of like five
  479. 17:45or six job offers uh all from uh small
  480. 17:48social networks like social networks
  481. 17:50that are trying to move into this space
  482. 17:53um there's like one or two that if I
  483. 17:55thought we were in a better place like
  484. 17:57from a regulatory framework perspective
  485. 17:59I would totally go take that offer
  486. 18:01um uh just because like there's certain
  487. 18:03strategies for approaching safety like I
  488. 18:06I worked on influence modeling at
  489. 18:07Facebook like I find that whole Space
  490. 18:09super interesting
  491. 18:11um I and I I it's interesting like I've
  492. 18:14had conversations with
  493. 18:16um fairly senior up people
  494. 18:18um you know I'm not talking about
  495. 18:19Executives I'm talking about director
  496. 18:20level kind of people at you know
  497. 18:22companies that you know the names of
  498. 18:25um who have said you know people noticed
  499. 18:28that you did not demonize Facebook right
  500. 18:30that that you tried to focus on what are
  501. 18:33the lessons we can all learn from how
  502. 18:35Facebook went astray
  503. 18:37um you didn't uh you didn't really Point
  504. 18:39like other than other than Nick Clegg
  505. 18:41because you know I have opinions about
  506. 18:43Nick Clegg in general I try to be pretty
  507. 18:45generous so the Facebook employees
  508. 18:47um and
  509. 18:49the uh and and that even-handedness you
  510. 18:54know it I I think it comes off as pretty
  511. 18:56obvious to most people that I'm not
  512. 18:59a malicious person right I I I'm a
  513. 19:02midwesterner like I if I could go like
  514. 19:04if I if I didn't feel like we had a
  515. 19:06public public crisis
  516. 19:08um I would much rather be coding by the
  517. 19:10ocean right I would much rather have a
  518. 19:12remote job and just live in Puerto Rico
  519. 19:15um and so I don't think it's gonna be a
  520. 19:17problem over the long term when I
  521. 19:18eventually and like I've done this long
  522. 19:20enough I would like to go go back to
  523. 19:22getting to play with my computer all day
  524. 19:24um but uh for now this is what I'm
  525. 19:27working on
  526. 19:28and I wanted to ask you though a little
  527. 19:30bit about the personal toll of
  528. 19:32whistleblowing you write in the book
  529. 19:33about uh when this process was heating
  530. 19:37up and you sent a signal message to the
  531. 19:39person you had just started dating kind
  532. 19:41of you know addressing how risky this
  533. 19:44was getting and can you tell me a little
  534. 19:46bit about the impact that this process
  535. 19:48had on you and your family
  536. 19:50so the the story I told in the book so
  537. 19:53um I started dating the guy I eventually
  538. 19:56married right so uh he's actually here
  539. 19:58in Amsterdam with me like he's going out
  540. 20:00and getting dinner for us because you
  541. 20:01know I'm talking to you all and I have
  542. 20:03to do another one of these things in a
  543. 20:04couple hours
  544. 20:06um and we started dating like maybe
  545. 20:08three or four days before
  546. 20:11um I came out in 60 minutes
  547. 20:14um uh and uh the day after I came out in
  548. 20:1860 minutes uh we were sitting with a
  549. 20:20threat researcher like they were giving
  550. 20:21us kind of the briefing on you know who
  551. 20:23what are the people in the dark webs uh
  552. 20:26saying about you you know like should we
  553. 20:27get you you know private security you
  554. 20:29know that kind of thing and um we had
  555. 20:32not locked down my so we'd lock down my
  556. 20:35social media so it you know made it
  557. 20:37private you know generally tried to
  558. 20:39decrease my profile on the internet
  559. 20:41um we have for not thought to do it for
  560. 20:42my mom so my mom is very very active on
  561. 20:45the internet and so the trolls had gone
  562. 20:48and trolled through all of my mom's
  563. 20:51social media posts going back years and
  564. 20:52years and years and
  565. 20:55um I texted I texted my partner and I
  566. 20:57was like or like at that point he was my
  567. 20:59boyfriend of like five days and uh was
  568. 21:02like Hey like you know we'd had a
  569. 21:04conversation about how two of his
  570. 21:06friends had gotten married and two
  571. 21:08people who said they would never get
  572. 21:09married
  573. 21:10and in their vows they had if one day
  574. 21:13your path diverges her mind I hope you
  575. 21:16take it right like if your path to Joy
  576. 21:19if your path to Joy diverges your mind I
  577. 21:21hope one day you take it and and I've
  578. 21:23always really loved that sentiment
  579. 21:25because I think it's really about
  580. 21:26um valuing like your partner as an
  581. 21:29independent human being right and and I
  582. 21:31commented to him I was like hey you know
  583. 21:34you don't know what you've signed up for
  584. 21:35you know like we could have stalkers we
  585. 21:38could have Paparazzi show up God because
  586. 21:40I was I was he had been my roommate I
  587. 21:42was not just started dating him kind of
  588. 21:43thing
  589. 21:44um you know if at any point this is too
  590. 21:46much you know I'm not going to judge you
  591. 21:48if you have to bounce and he said the
  592. 21:51most delightful thing which I I still
  593. 21:53hold him to this day he said I'm not
  594. 21:55afraid of trolls I am a troll
  595. 21:58um and it's funny because when Elon Musk
  596. 22:00took over Twitter
  597. 22:01um uh he had he had a bunch of troll
  598. 22:05accounts because he likes to troll
  599. 22:06Chinese information operations you know
  600. 22:08like everyone needs a hobby that's what
  601. 22:10I boxes is
  602. 22:12um and maybe a month into after Elon
  603. 22:15took over all of his accounts got taken
  604. 22:17down because they should have like
  605. 22:18there's no reason why Twitter should
  606. 22:20have allowed those fake accounts to
  607. 22:21exist
  608. 22:22um but uh but but beyond that it's crazy
  609. 22:25none of the consequences that I feared
  610. 22:27happening happened
  611. 22:29you know like we never got Paparazzi and
  612. 22:32I don't know if that's partially because
  613. 22:33like I live in Puerto Rico and it's a
  614. 22:35little hard to get there you know we
  615. 22:36never had people show up and scream at
  616. 22:38me you know I have open DMS on Instagram
  617. 22:41and Twitter you know anyone can message
  618. 22:43me you know people don't harass me
  619. 22:46um my email is open on my my website you
  620. 22:49can drop me an email say hi no one you
  621. 22:52know I have one person who I'm pretty
  622. 22:54sure is a little mentally ill who sends
  623. 22:56me conspiracies on a regular basis but
  624. 22:58they're not you know they're not out to
  625. 22:59get me
  626. 23:00um I've been incredibly crowdly grateful
  627. 23:02that I have had a very easy whistleblade
  628. 23:05experience compared to what many people
  629. 23:07experience
  630. 23:09um and so I will I will never I will
  631. 23:11never complain about anything that's
  632. 23:12happened to me so far
  633. 23:14on that note I mean what advice would
  634. 23:16you give for other Tech employees who
  635. 23:18are thinking about blowing the whistle
  636. 23:20and coming forward like you
  637. 23:23so the thing I always remind people is
  638. 23:24you don't have to be visible right so
  639. 23:27for every whistleblower who you see like
  640. 23:29me there's the hundreds or a thousand
  641. 23:32whistleblowers who are very subtly
  642. 23:34working in the background
  643. 23:36um you know I came forward publicly as I
  644. 23:39describe in the book because like my
  645. 23:41lawyers were like hey you know you poked
  646. 23:43the bear like there's there hasn't been
  647. 23:46a whistleblown incident of this
  648. 23:47magnitude
  649. 23:48you know since the 18t whistleblower
  650. 23:51decades ago
  651. 23:53um you know you need to understand they
  652. 23:55know who you are and they can out you at
  653. 23:57any time you know so if you want
  654. 23:58Facebook to get to choose how to
  655. 24:00introduce you to the world you can stay
  656. 24:01in the closet but like you know you're
  657. 24:03rolling the dice
  658. 24:05um I you don't have to do that like most
  659. 24:08people are not going to whistle blow at
  660. 24:09that magnitude
  661. 24:11um uh you can directly give documents to
  662. 24:13Congress you can give documents to the
  663. 24:15SEC
  664. 24:17um there you don't have to be visible
  665. 24:19but at the same time you are one of the
  666. 24:21most vital lines of defense for the
  667. 24:24public you know for most of these
  668. 24:26technological systems people can't see
  669. 24:28how they're operating unless people like
  670. 24:30you come forward
  671. 24:32um and so I I hope you never find
  672. 24:34yourself in a position where you feel
  673. 24:35like uh people's lives rest on on
  674. 24:39information that you know that the
  675. 24:40public is is being that's being kept
  676. 24:43from the public
  677. 24:44um but the the the second thing is if
  678. 24:46you do find yourself in that situation
  679. 24:49I hope you find at least one person that
  680. 24:52you feel like you can be honest with
  681. 24:53because one of the things I didn't
  682. 24:55appreciate until I came out was that
  683. 24:57another way in which I had had a very
  684. 24:59easy whistleblowing experience was that
  685. 25:01I lived with my parents during covid
  686. 25:03that most people who become
  687. 25:06whistleblowers you know by the time they
  688. 25:08come forward they're they're really
  689. 25:10ground down you know they they live with
  690. 25:12a secret alone for that that where they
  691. 25:16fear it impacts people's lives for often
  692. 25:18long periods of time and and that is an
  693. 25:21emotional trauma
  694. 25:23um and uh because I lived with my
  695. 25:26parents like during the whole period
  696. 25:27where you know what I was hearing at
  697. 25:29Facebook was very different from like
  698. 25:31what my lived experience was
  699. 25:33um I didn't have to wonder am I the one
  700. 25:36that's delusional are they the ones
  701. 25:39being unreasonable
  702. 25:41um I could just talk to my parents and
  703. 25:42be like I saw this today like this
  704. 25:43doesn't seem right or you know my Dad
  705. 25:45could come in and say hey like you know
  706. 25:48if if you were the lowest level
  707. 25:49technician in my laboratory so he runs
  708. 25:52like the place where all the blood work
  709. 25:54is done in a hospital
  710. 25:57um you know if you're my lowest level
  711. 25:58technician there would be a sign in the
  712. 26:01elevator there'd be a sign in the
  713. 26:02bathroom there'd be a sign in your break
  714. 26:04room saying did you see something that
  715. 26:07endangered patient safety call this
  716. 26:09number someone will listen to you
  717. 26:10someone will take you seriously like you
  718. 26:13have a Harvard MBA and you don't know
  719. 26:15who to call
  720. 26:16right you're working on National
  721. 26:18Security issues and you don't know who
  722. 26:19to call
  723. 26:20um and I think because I had that
  724. 26:23grounding right like I had two smart
  725. 26:25people who I trusted the Judgment of who
  726. 26:27were like what you're seeing is
  727. 26:28unreasonable
  728. 26:30um it allowed me to act with more
  729. 26:31confidence than I would have otherwise
  730. 26:33had
  731. 26:35when I wanted to bring the conversation
  732. 26:37back to Facebook which has recently had
  733. 26:39some major financial problems has had a
  734. 26:41series of layoffs do you think that
  735. 26:43those cuts have intensified some of the
  736. 26:46problems that you exposed around content
  737. 26:48moderation
  738. 26:51a hundred percent so it's on a couple
  739. 26:53different levels so um so for just to
  740. 26:55refresh people
  741. 26:56um I because this is I I I'm amazed how
  742. 27:00there are certain things about me that
  743. 27:02are have still not penetrated large
  744. 27:04chunks of the internet or of society you
  745. 27:07know a poor complaint in my initial sign
  746. 27:10of testimony was that we were being told
  747. 27:12that content moderation kept us safe
  748. 27:15but content moderation at least as it's
  749. 27:18done today does not scale right so
  750. 27:21there's lots and lots of languages in
  751. 27:22the world
  752. 27:23um when you make safety systems that are
  753. 27:25about picking and choosing which ideas
  754. 27:26are good and which ones are bad you know
  755. 27:28you have to go and rebuild those systems
  756. 27:30over and over again Language by language
  757. 27:32Regional dialect by Regional dialect
  758. 27:35changing topicality all the time it's
  759. 27:37very expensive
  760. 27:39um it Facebook just doesn't do it in
  761. 27:41lots of languages
  762. 27:43um I in the year after I came forward
  763. 27:46they invested a lot more in safety
  764. 27:50um but in like they I think that on they
  765. 27:53said they were going to double the
  766. 27:54amount they spent on safety and I think
  767. 27:56they did
  768. 27:57um unfortunately Elon Musk came through
  769. 27:59and bought Twitter and showed that you
  770. 28:01could lose 75 of your employees and
  771. 28:04there would be no consequences
  772. 28:06so I don't want to wait into the debate
  773. 28:08about like you know pros and cons of
  774. 28:10Elon but one things he did that has had
  775. 28:12serious consequences across the tech
  776. 28:14industry is uh he showed that you know
  777. 28:18you could make a significantly less uh
  778. 28:21safe product you know it wasn't just
  779. 28:23content moderator content moderation
  780. 28:25policies he changed he fired the people
  781. 28:27who were looking for child Predators who
  782. 28:29were looking for information operations
  783. 28:31who were looking for people compromising
  784. 28:33these systems
  785. 28:35um and that that no because uh we only
  786. 28:40require companies to report their
  787. 28:42economic numbers so this is profits
  788. 28:45losses the expenses that went into
  789. 28:47generating those profits but we don't
  790. 28:49require them to report their social
  791. 28:51ledger so this is the costs and harms uh
  792. 28:54that happen because of their products
  793. 28:57you can steal from the social Side Of
  794. 28:59The Ledger you know not invest in safety
  795. 29:01as much not be as rigorous and because
  796. 29:04it's invisible
  797. 29:06all it does is it looks like your
  798. 29:08balance your economic balance sheet is
  799. 29:10more generous and and Mark Zuckerberg
  800. 29:12has come out and said like you know the
  801. 29:13reason he this is Facebook's year of
  802. 29:16efficiency and he fired lots of safety
  803. 29:18people including the AI safety team
  804. 29:21um and I is that that you know Elon Musk
  805. 29:25showed him you could do it you know he
  806. 29:27ripped the Band-Aid off operably
  807. 29:30um and I I really worry that it is an
  808. 29:33illustration of when we have critical
  809. 29:36societal systems that are opaque you
  810. 29:39know they operate off in a data center
  811. 29:40where we can't inspect them
  812. 29:42um
  813. 29:43we will keep seeing uh as long as those
  814. 29:46incentives remain the same as long as
  815. 29:48you don't have to report data on that
  816. 29:49social Side Of The Ledger you're going
  817. 29:52to continue to see an economic incentive
  818. 29:54to cut those corners
  819. 29:55and we have just about a minute left and
  820. 29:58you write in your book that every reader
  821. 30:00can be a part of the solution of raising
  822. 30:02awareness and fixing social media what
  823. 30:05do you want our Washington Post viewers
  824. 30:07today to take away
  825. 30:09hmm
  826. 30:11um so I I totally get I want I want to
  827. 30:13be sympathetic here
  828. 30:14um so I'm a data scientist when you say
  829. 30:16things to me like data set you know I
  830. 30:18get very excited because I would love to
  831. 30:20sit and play with that
  832. 30:21um and I know that sit there and be like
  833. 30:23Francis like I I just don't care about
  834. 30:25tech transparency like like if you talk
  835. 30:27to me about you know child Predators you
  836. 30:30talk to me about misinformation
  837. 30:31campaigns I care about those things but
  838. 30:33like transparency like what do you
  839. 30:34actually get for transparency
  840. 30:36um I hope one of the things that people
  841. 30:37take away from a book is that for almost
  842. 30:40any harm you care about on these systems
  843. 30:44we cannot collectively you know that
  844. 30:47means uh through Advertiser boycotts
  845. 30:50through divestment campaigns through
  846. 30:52consumer boycotts protests uh through
  847. 30:55class action litigation there's a lot of
  848. 30:58different mechanisms we can use to pull
  849. 31:00these systems back towards the common
  850. 31:02good but if we don't have transparency
  851. 31:05we leave the platforms and that includes
  852. 31:07things like big AI companies we leave
  853. 31:10them creating their own homework right
  854. 31:13the floor the floor of where we can
  855. 31:15begin to have a democratic conversation
  856. 31:16about how to move forward has to begin
  857. 31:18with transparency
  858. 31:20um and so that's that's the thing I hope
  859. 31:22people will take away is that we have a
  860. 31:25chance to unleash a whole new generation
  861. 31:27of Specialists a whole uh era of
  862. 31:31conversations about how we want to live
  863. 31:33online but we can only do that if we get
  864. 31:36to peel back the curtain
  865. 31:38well we're just about out of time so
  866. 31:40we'll have to leave it there Francis
  867. 31:41thank you so much for joining us today
  868. 31:43at Washington Post Live
  869. 31:45my pleasure happy to be here
  870. 31:48and thank you for all joining us from
  871. 31:50home if you would like to tune in for
  872. 31:52future Washington Post Live Events you
  873. 31:54can check them out at
  874. 31:55washingtonpostlive.com I'm Kat zakreski
  875. 31:58thanks again

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