YT YouTube2Text

YouTube2Text → Transcripts → STS Lesson 1.3 The Information Age and Artificial Intelligence

STS Lesson 1.3 The Information Age and Artificial Intelligence — Transcript

by Aces Joseph San Pedro · 7,355 words · 1,264 segments · language en · Watch on YouTube

Open in transcriber Summarize with AI Download SRT/VTT

Full transcript

0:00Good day everyone. Welcome to our lesson
0:031.3 discussion on STS. And for this
0:08lecture no, we will discuss the
0:10information age, artificial intelligence
0:13and society. So as promised last few
0:17discussions we're able na we're able to
0:19understand what science is and at the
0:22same time ano ah we're able to trace
0:25back kung saan nagsimula yung science.
0:29Okay. Through the ancient civilizations.
0:31So ngayon naman ang objective natin for
0:33today is tingnan naman natin yung
0:35current state ng science and especially
0:38kasi papunta na rin tayong technology.
0:41We take a look at how science shaped
0:44information and how science shaped our
0:47technology nowadays particularly to one
0:50of the tawag dito major technology na
0:55ginagamit ng mundo ngayon which is
0:57artificial intelligence.
0:59So we connect those to the information
1:02also discuss social media to AI and
1:07society.
1:08So with that being said no uh here are
1:11our objectives for today. We want to
1:14define the information age. We want to
1:17map how social media platforms monetize
1:20our attention and critic the state of AI
1:24in our context given as well na ' ba nga
1:28naging uso yung ano yung pag pagtayo no
1:32ng AI hub here in the Philippines
1:35through the Paxilica initiative.
1:39So we start first with the information
1:41age. Okay. This term you've heard when
1:45you were in grade 11 or 12 when you took
1:48media and information literacy. Isa to
1:50sa main components na dini-discuss with
1:53regards to how humans can become media
1:57and information literate. So ano nga ba
2:00ong information age? Recap lang natin ng
2:02kaunti.
2:04The information age. Ah ito ay tawag
2:08dito nagsimula, pinanwalaang nagsimula
2:10nung huling bahagi ng 20th century.
2:13Remember right now we are ba 2026 tayo
2:17but we are at the 21st century. So yung
2:2120th century na to na nire-refer is
2:231900s no to 1999. So basically yung last
2:27quarter is around 1970s
2:29no. So 'yun 'yung um pinaniniwalaang
2:33nagsimula yung information age. Pero
2:35sir, paano siya nagsimula? Is it because
2:37of you know the scientific revolution or
2:40technolog uh industrial revolution na
2:43technological advancements? Tingnan
2:46natin. Sabi dito, "The information age
2:50started when the information becomes
2:54rapidly and effortlessly accessible."
2:58No? So ibig sabihin ah mabilis na nating
3:01makuha yung information natin ' ba.
3:04Ngayon nga isang click lang natin sa
3:06Google, isang tanong, isang bigay lang
3:09natin ng prompt sa AI. Talagang
3:10napakarami ng information no yung ating
3:15nakukuha. And at the same time no, we
3:17are also giving a lot of information sa
3:20mga social media application sa mga
3:22ginagamit nating mga ah technologies
3:25because lahat ng activities natin ngayon
3:27nat-turn na into data and information.
3:30Now uh what we're trying to say here is
3:33that um mas lumawak na yung paraan ng
3:36pagpo-publish ng information. Hindi na
3:39lang siya pasulat
3:40no kundi pati may mga digital
3:43publications na. Because remember the
3:44third industrial revolution is
3:46characterized or was characterized by
3:49the development of modern computers
3:521960s 1970s tapos ' ba the fourth IR or
3:57the fourth industrial revolution yun
3:58naman ay ang internet and artificial
4:01intelligence. So talagang nag-boom yung
4:03technology.
4:05So um so sinasabi dito ano uh it's
4:09closely linked with the development
4:11application of computers na again
4:13pinag-usapan natin as the one of the
4:17major technologies in the third stage of
4:19the industrial revolution around 1960s
4:22to 1970s.
4:24Okay. And this information age is also
4:27called the digital age or the new media
4:30age kasi nga nagkaroon ng bagong
4:31platform for the information to become
4:34more accessible.
4:36So yung reason nabanggitan natin
4:39information and its dissemination
4:41evolved. Hindi na lang natin siya
4:44kini-keep sa sarili natin ngayon ' ba.
4:47Um, tawag dito kapagka may alam ka or
4:50kaya kapagka may pupuntahan ka hindi
4:54marami sa atin
4:56ah kumbaga bino-broadcast
5:00natin kasi we're proud of our
5:01achievements. We're proud of the places
5:03na kumbaga we're happy to go to the
5:06places that ah tawag dito pinupuntahan
5:09natin. But basically all of those are
5:11information. And sinasabi dito that
5:17um
5:18hindi na lang natin siya kinikimkim sa
5:20atin ano ah and also yung mga
5:23information yung mga data ng mga
5:25scientist ng iba't ibang mga
5:29professionals hindi na rin nila
5:30kini-keep sa sarili nila. That's why
5:31it's very important no yung ah
5:34information dissemination sa mga
5:36research. Hindi ba hindi naman
5:37nagtatapos ang research sa conclusion.
5:41Kailangan maiparating mo siya sa mga
5:43tao. At dahil sa information age, mas ah
5:47tawag dito, mas lumawak yung possibility
5:51na ma-diseminate yung information
5:53through different platforms, no? Pwedeng
5:55vlogs, pwedeng vlogs naman na video blog
5:59at marami pang iba.
6:01However, the problem is
6:04dahil sa dami ng information,
6:07no, nag-gow siya in such a way na hindi
6:10na natin, hindi tayo maka-keep up or
6:13hindi natin ma-handle yung sobrang
6:15daming information. Because remember,
6:17each information na nilalagay natin
6:19online, it ah tawag dito ah may ano iyan
6:23may equivalent yan na bytes of storage
6:27'di ba? Alam naman natin ngayon ah you
6:29have kilobytes,
6:31megabytes,
6:32gigabyes, thabytes and so on. So yung
6:36information daw hindi natin ma-handle,
6:38hindi natin ma-store ng maayos. And
6:40that's why Richard Wman 1980s no
6:44sinasabi niya na maaaring magkaroon ng
6:46information anxiety okay na kung saan
6:49hindi natin ma-collect at ma-manage
6:51lahat ng information at talamak yan
6:54hanggang ngayon hindi natin ma-manage
6:55lahat ng information kaya nga lumalawak
6:58ang misinformation at disinformation
7:02yung pagpapalaganap ng maling balita
7:06minsan intentionally
7:09minsan Yan talagang hindi na natin
7:11nache-check kung tama pa ba 'yun or deep
7:12fake pa. So it's better also no ah if
7:16you have time you ah look at the
7:18difference between misinformation and
7:21disinformation and you can tell us sa
7:23comment section nito if ano yung nakita
7:26ninyong difference nila.
7:29So now ah ang pinupuno lang dito is that
7:32because of the information age mas na
7:35sobrang dumami yung information
7:37nahirapan tayong mga tao to keep up to
7:40handle those information at habang mas
7:42dumadami yung information mas magiging
7:44mataas yung chance na magkaroon ng
7:47information anxiety because we cannot uh
7:52handle or significant amount of
7:55information or we cannot manage all
7:58those information.
8:00Pero ano ba yung features ng information
8:02age? Meron akong present dito na apat
8:05no. We have digitization,
8:07connectivity, datification and
8:10platformzization platformization.
8:13So what are those sir? I think very
8:17self-explanatory in digitization no? Ah
8:20kaya nga tinatawag yung information age
8:22na new media age or digital age because
8:25we're able to convert analog processes
8:28into digital formats na ang dati ba ah
8:33people read newspapers, people read uh
8:37hardbound books.
8:40But now we can read information from the
8:44internet.
8:46We read news ' ba sa Google sa mga news
8:50websites. Even sa Facebook may mga
8:53lumalabas namang mga balita. Now, siguro
8:57may iba sa inyo ang preference magbasa
8:59ng ebooks. 'Di ba nauso dati watpad
9:02until such time na ngayon maraming libro
9:05ay may digital format na rin. So ah it
9:09allows people to access information very
9:12easily because of digitization.
9:14Now syempre isa rin sa mga affordances
9:18ng information age sa atin ay ang
9:20connectivity. talaga namang ah napaka
9:24tawag dito connected no nung mga digital
9:29ah digital natives.
9:31Ibig sabihin tayo mga nanirahan na sa
9:34digital age no because um we're able to
9:38connect with other people from different
9:41countries 'di ba? Lalong-lalo na sa
9:44social media. But here in the
9:46information age, kung ikaw ay researcher
9:48halimbawa no and you're interested with
9:51uh Shakespeare and literature, mga
9:54sinulat ni William Shakespeare, dati you
9:57have to go sa European libraries in
10:00order for you to read those um
10:05literatures.
10:07But now
10:09since meron na nga sabi natin na
10:10digitize na nga yung um yung mga
10:14information hindi mo na kailangan
10:15pumunta sa iba't ibang lugar just so you
10:17can study um
10:21different knowledge or different
10:23information because now it's readily
10:25available to us.
10:28Um
10:30ah in our context pwede nating sabihin
10:32na connected na ang mundo. But syempre
10:35no uh we also need to take note na hindi
10:38lahat because hindi lahat nakaka-access
10:41sa technology na to. Hindi ba? We also
10:45have here datification.
10:47Lahat ng mga bagay na ginagawa natin can
10:50be converted to data.
10:52Basically yang ah tawag dito kapag
10:54nags-strava ka or kung ano man yung
10:57application na ginagamit mo to track
10:59your exercise
11:01no yung ano iba't ibang mga bagay those
11:04things can be ah converted into data
11:10lahat ng bagay kahit nga yung ID ah
11:13trend sa social media yung kung ikaw ba
11:16ay taga-Dyc dati yung ini-istory niyo na
11:19ano t's may favorite music favorite
11:21line. Those are also data.
11:25Pwede nating pang-train yun sa mga
11:27technologies at sa mga artificial
11:29intelligence because everything that we
11:32put online is data.
11:36Yung information na iyan data yan. Can
11:38be converted easily to data.
11:42Nao-automate yung mga processes because
11:44of that. And that curates also your
11:46algorithm ' ba sa social media.
11:49Platformization.
11:51So ito ah nakakapagbigay tayo ng
11:54platform sa iba't ibang mga tao
11:57especially those na mga professionals no
12:00because of the information age
12:02nabibigyan ng ah pagkakataon na
12:04makapag-share ng information online yung
12:07iba't ibang mga tao across different
12:10fields because may platform sila. Okay?
12:13To do so. And isa sa mga manifestations
12:17ng platform na to ay ito ang social
12:19media.
12:21I believe
12:23most of us
12:25if not all sabihin if not all we use
12:28social media everyday
12:31and this began in the early 2000 so
12:33na-establish na yung internet nung
12:35na-establish na yung ah nung Fourth
12:37Industrial Revolution nagsimula na nag
12:40ang ang social media no nagsimula yan sa
12:43Friendster nung 2002 tapos nagkaroon pa
12:47ng myspace friend yung Friendster hindi
12:48ko na masyadong naabutan Baka kayo
12:51naririnig niyo pa 'yung Friend pero ako
12:53narinig ko 'yung Friendster pero hindi
12:55ko na naabutang gamitin. Okay? Kasi ako
12:58grade 8 pa ako nagka-cellphone. So wala
13:01pa akong access sa ano sa Friendster
13:03non. Ah MySpace tapos Facebook nung
13:062004. Hanggang ngayon eh very ah tawag
13:10dito very popular no? Yung Framster kasi
13:12tsaka MySpace hindi na natin masyadong
13:14nagagamit ngayon. Okay face out na.
13:19You know the reason or you know the
13:21purpose of social media. It allows
13:23people to create, share and interact
13:25with content with information readily
13:29available online. Because again
13:31everything that you post, everything
13:34that you share, those are information
13:37and those can be converted into data.
13:41And social media now shapes
13:43communication
13:45definitely ' ba ah may paraan na tayo to
13:49communicate online. It also shapes
13:51culture because of yung mga trend
13:54setters. Hindi ba yung mga yung tawag
13:57dito trends kung ano yung viral syempre
14:00yan na yung magiging ano natin kumbaga
14:03sa maraming tao yan na yung magiging
14:05culture nila. Nung nauso sa atin yung
14:08Korean pop, K-pop, Korean dramas nung
14:13dumating sa atin ng halu.
14:15Yun talagang maraming kumbaga way of
14:18life ang nabago ' ba. mga gusto na
14:20nating magmukhang Koreano, mga gusto na
14:23natin magmukhang anime eh it's because
14:25of social media, no? Kasi nashe-shape
14:27niya yung culture pati yung mga
14:29businesses now, look at our businesses
14:32now. 'Di ba? Marami ng mga ah produkto
14:35na pwede nating mabili lang through
14:37online, even nga social media eh. Kasi
14:42ba sa ah sa TikTok ngayon for instance
14:46may TikTok shop na yung mga binibili
14:49niyo sa Shopee yung mga binibili niyo sa
14:52Lazada ' ba ah nako-connect siya doon sa
14:56Facebook at minsan lumalabas siya as ad
14:58sa Facebook at sa Facebook ngayon may
15:00marketplace pa na tinatawag so it also
15:03ships businesses and even politics.
15:06Definitely politics.
15:09'Di ba? Kasi ah very ano eh influential
15:13ng social media sa atin eh. Marami sa
15:15mga digital immigrants, no? Pagibah
15:18anuhin muna pala natin yung term. Ano ba
15:20'yung digital
15:22natives
15:24tsaka digital
15:27immigrants?
15:30Tayo mga digital natives tayo. Mga ano
15:33tayo eh talagang pinanganak tayo,
15:35nandiyan na 'yung technology, establish
15:37na yung industrial revolution. So tayo
15:40yung digital natives. Okay. Ah katutubo
15:45parang ah tawag dito yung ating yung
15:48ating pagkatao nakaot na doon sa
15:51technologies na meron tayo ngayon. Pero
15:53when we're talking about digital
15:55immigrants, ito yung mga ah magulang
15:57natin. Ito yung mga guardians natin, mga
15:59lolo't lola natin na bago sa technology
16:02na yan. Kasi nabuhay naman sila. Nawala
16:05'yan eh. kumbaga sila yung naga-adopt
16:07ngayon sa technologies na meron tayo.
16:10But then again, um ang mga digital
16:14immigrants din kasi ang mabilis na ma
16:17tawag dito ma-fall doon sa mga
16:20misinformation tsaka disinformation na
16:22binabanggit natin kanina. Kasi madalas
16:25yung mga nakikita nila pinaniniwalaan
16:27din nila sa social media. 'Yun nga lang
16:29mga simpleng ayuda 'yung magco-comment
16:32ka daw ng cellphone number mo tapos
16:34tatawagan ka ba maraming nasa-scam sa
16:37mga ah e-wallet na platforms kasi
16:41nase-send nila yung OTP nila. Those are
16:44ano manifestations of the effects of
16:46social media sa mga digital immigrants.
16:48Eh paano pa kaya sa politics na ba
16:51napakaraming nangyayari Pilipinas pa
16:53lang napakarami ng ah anong tawag dito?
16:56Political controversies ang ating
17:00nararanasan. Hindi ba? So sila yung
17:04pinaka ano dito, pinaka-prone sa
17:06pag-shape ng politics, no? Yung mga
17:09digital immigrants natin na kapag may
17:11post kunwari to pray Sarah Duterte or
17:13kung sino mang mga politicians na yan,
17:15naniniwala sila. At kung makikita mo
17:18yung mga comment section ah dun sa mga
17:21nagpo-protekto sa iba't ibang mga
17:23politicians, mostly mga digital
17:25immigrants natin.
17:28Okay? No. Ah kumbaga ah we have to take
17:32note ano na very influential social
17:36media lalo na sa mga digitals.
17:39Okay? Kasi halos lahat ng information na
17:42nakita ka nila online pinaniniwalaan
17:44nila kasi posted eh. kahit na deep fake
17:47yan, kahit na AI generated yan,
17:50maniniwala sila kasi naka-post sa social
17:52media.
17:54And that influence ' ba nung yung ating
17:582016 elections and 2022 elections.
18:01Kung sino yung masikat sa social media,
18:03yun ang nanalog.
18:06So alam niyo na yung mga examples na yun
18:08ng social media. Ngayon pinapanood niyo
18:10to sa isang social media platform which
18:11is YouTube.
18:13Ayan.
18:16So ano yung affordances sa atin ng
18:17social media? Okay. Um may limang bagay
18:21na nakasulat dito. Identity,
18:24interaction, algorithmic curation,
18:27virality mechanics, and monetizes
18:29attention and data.
18:32Identity. Madali na to. Because of the
18:34social media platform, you can establish
18:36your name. You can establish your
18:38reputation.
18:40ba yung mga sikat ngayon na mga
18:42tiktokers yung mga sikat ngayon na sa
18:45Facebook si Lance for instance si Baet
18:49at kung sino-sino pa yung mga vloggers
18:51na pinapanood niyo. nagkaroon sila ng
18:53reputation because of social media dahil
18:55sumikat iyung kanilang content hindi ba
18:58um nagkakaroon sila ng reputation and I
19:02hope ba and I for sure you hope as well
19:05na ginagamit nila yung reputation nila
19:06sa tama hindi para mag ah tawag dito mag
19:10ah promote ng mga gambling platforms
19:14may nagpamigay nung nakaraan iPhone 17
19:17pero nag-promote naman ng ano mga
19:19gambling na nakakasira sa buhay at hanap
19:22buuhay ng mga tao
19:25' ba sana ginagamit sa tama okay hindi
19:27sa pagpo-promote ng kung ano-ano, hindi
19:29sa pagshe-share ng mga fake news hindi
19:32ba sana nagagamit yung identity sa tama
19:36interactions
19:38because of social media you can interact
19:40very self-explanatory. You can like, you
19:42can share, comment sa TikTok you can do
19:45stitch ah duets. 'Di ba? Stitches and
19:48duets ata kung hindi ako nagkakamali.
19:49Doon yan sa TikTok. Ah kahit hindi mo
19:52kakilala basta gumawa ng content ta's
19:55ikaw pwede ka ring makipag-det sa kanya.
19:57Hindi ba?
19:59Creation of algorithm. Ito yung sinasabi
20:01natin kanina. Kasi nga lahat ng ah
20:07mga ginagawa mo online, 'yung
20:09pags-strava mo, 'yung pagtitingin mo sa
20:11Shopee ng mga products,
20:14lahat ng bagay. Yung pagse-search mo
20:16lang sa Facebook ng kunwari pangalan ng
20:19tao or kaya ng hashtag hashtag walang
20:23pasok. Maya-maya makikita mo na sa feed
20:26mo puro hashtag walang pasok yung
20:28naka-post.
20:29Kasi those are algorithmic oration.
20:33It prioritize engagement kung saan ka
20:35engaged yun ang ibibigay sayo ng social
20:37media. Kung ikaw ay scientist, future
20:41scientist at nagse-search ka online ah
20:43sa Facebook or sa other social media
20:45platforms ng ah mga bagay, mga science
20:49articles, mga science videos, for sure
20:51ibibigay sao ng iyong FYP, ng iyong ah
20:56news feed, mga ganyan.
20:59And take note ano, it prioritizes
21:01engagement not necessarily accuracy.
21:05Basta
21:07related doon sa iyong interests. Kahit
21:11dahil nga mayung sobrang daming
21:13information, hindi na ma-double check ng
21:15lahat yung information na yon, ibibigay
21:18sayo ng social media yan.
21:21Fake news man yan. Totoo man yan. Lahat
21:25yan sama-sama sa social media.
21:29which is ba suddening kasi ano eh
21:35nagagamit yung social media to ah
21:40to tawag dito to disseminate
21:44those kind of information
21:47varity mechanics syempre network effects
21:50amplify content rapidly ikaw mag-share
21:54ka ng something kunwari mag-post ka ng
21:56tuldok
21:57Tapos may sikat na artista nakapag-post
21:59din ng tuldok ' ba sa kanila sobrang
22:02daming reactions kasi nga ano eh ang
22:05taas na nung kanilang following eh ' ba
22:07ang taas na nung kanilang community eh
22:11so naa-amplify yung content agad-agad
22:15kapag naka-follow ka dito sa isang sikat
22:16na artista mag-post man siya mayaya
22:20receive mo na makikita mo na sa news
22:22feed meme
22:24dahil maraming naka-follow sa kanya niya
22:27maraming nagre-react
22:29and that's virality mechanics.
22:32Hindi ka magiging viral sa isa mo lang
22:33content. Kailangan meron kang something
22:35doon sa caption mo, doon sa video mo
22:38that can really catch the attention of
22:40people and at the same time ah tawag
22:43dito can really help you na mapunta ka
22:47sa algorithm or sa mga news feeds or FYP
22:52ng ibang tao. You have to be uh creative
22:56no in creating your content.
22:59It monetizes attention and data
23:02definitely kasi lahat ng mga bagay na
23:04nakikita natin sa Facebook yung mga
23:06pinapanood natin pwedeng ma-monetize
23:08yung mga taong sikat ' ba yung mga yung
23:12mga products na tinitingnan natin
23:13mamo-monetize yan kapag ikaw ay
23:15na-entice nila to buy those products.
23:21So meron ditong discussion prompt no ah
23:23na you can answer dito as one of your
23:26attendance no as part of your attendance
23:30for this week pa lang. So nas nabanggit
23:32na natin, na-discuss na natin ang social
23:34media, na-discuss na natin ng
23:36information age. And right now we know
23:39that social media has transformed the
23:41way we communicate, learn and access
23:43information. However, the problem is
23:46right now it also enable the rapid
23:49spread of misinformation
23:51disinformation and provide the new
23:54avenues for different things no cyber
23:56bullying harassment and online abuse. So
23:59ang tanong dito, "How can we practice
24:02responsible digital citizenship to help
24:04prevent cyber bullying and the spread of
24:06misinformation,
24:08fake news, or on social media?" So you
24:11can try to answer this. Syempre mga
24:14maiikli lang na sagot ano, two to three
24:16sentences may do English or Filipino or
24:20taglish diyan sa ating common section.
24:27Now we move to our the highlight the
24:32highlight of this discussion artificial
24:34intelligence
24:36nabanggit na natin last time that
24:38artificial intelligence is a technology
24:41but we also mentioned that uh we can use
24:46these technologies
24:48pero hindi ibig sabihin nito that it can
24:51you know
24:54It can improve our society agad-agad. It
24:57can affect. It can affect. It can
24:59influence our society. And definitely sa
25:02AI na-influence na yung mga tao, tao sa
25:06lipunan sa paggamit nito. Okay? Marami
25:09sa atin. Hindi ko tinatanggi, I'm using
25:11AI. But 'di ba hindi lahat kasi ng
25:14technologies kailangan mong gamitin
25:16lagi-lagi eh. Kasi sabi ko nga sa inyo
25:18ang baril, ang bomba, those are also uh
25:20those are also technologies.
25:24Pero hindi mo naman kailangang araw-araw
25:26gamitin yun.
25:28So we have to use technologies in
25:31moderation.
25:34At ito yung mga pag-uusapan natin
25:35pagdating ng chapter 2 no yung about sa
25:39technology. But to give you a brief uh
25:43historical context about AI, hindi naman
25:45kasi talaga siya makabago.
25:49Ang AI kasi
25:52meron ang konsepto niya 1950s pa lang
25:54although hindi pa ganon ka-established.
25:58Kasabay nung pagde-develop nila ng
26:01computers no. Um, naisip din nila baka
26:06pwedeng 'yung mga devices na 'yon can
26:09imitate how we think
26:12or can, you know, 'yun nga can imitate
26:15humans.
26:17So bakit ba nagsimula ang AI? So yun nga
26:20sinabi ko it began with the dream of
26:22creating machines that could think like
26:24us and can solve problems like us. Para
26:27sa ganon, mas mabilis yung pagpo-process
26:31ng mga bagay-bagay.
26:34Kasi alam naman natin tayo hindi naman
26:36tayo 247 na full of energy. We need to
26:39sleep. nagpapagod tayo. So na-realize ng
26:43mga scientist ng mga professionals baka
26:47pwedeng mag-dvice tayo ng way na kung
26:49saan ah maging continuous yung mga
26:51processes even we are resting.
26:55So that's why naisip nila baka pwede
26:57tayong gawa ng machines na
26:58nakakapag-isip na katulad natin na
27:00nakakapag-solve ng problems na katulad
27:02natin na hindi hindi natin kailangan
27:05100% tayo lang yung tatrabaho at
27:07tatrabaho ng lahat.
27:10And nagsimula yung term na AI nung 1950s
27:13kay Alan Kuring and John McCarthy.
27:18At si Allan Turing may pinopose na
27:20touring tests. So ano itong touring test
27:22na to? So basically ah yung AI kasi dati
27:25ay parang textbased communication lang.
27:28Wala pang image generation, wala pa yung
27:31kung ano-ano. Magbibigay ka ng prom
27:32tapos ' ba makakapag-create ka na ng
27:35poster ng buwan ng wika. Hindi katulad
27:37ngayon na sikat online ' ba lahat nung
27:40poster nung isang school eh AI
27:42generated.
27:44Anyways, ano yung touring test? So
27:46basically um if you are if you were a
27:50participant of touring test dati, may
27:54tao makikipag-usap siya sa isang device
27:57basically
28:00ah with the premise na ang kinakausap
28:02niya ay tao
28:03and may isang machine. So isang tao,
28:06isang machine.
28:07So makikipag-usap lang 'yung ano,
28:10makikipag-usap lang 'yung participant.
28:13And then at the end of the activity,
28:14kailangan niyang ma-identify sino yung
28:16tao.
28:18If hindi niya ma-identify kung sino yung
28:21tao, yung machine ay nakapasa sa touring
28:23test kasi nagaya niya kung paano
28:26mag-isip yung tao.
28:29But if the person,
28:32yung participant naidentify niya sino
28:34yung tao sa kausap niya,
28:36nag-fail yung machine as an AI or
28:39nag-fail yung machine doun sa touring
28:40tests kasi hindi niya pa kayang mag-isip
28:43at mag ah mag-solve ng problems like us.
28:48So ganun yung premise ng touring test.
28:52So nabigay yung term na AI nung 1956
28:56nung si John McCarthy and piners ko sa
29:00isang conference yung artificial
29:02intelligence na makakagawa ng machines
29:04that can that could think like humans.
29:08Kaso syempre 1950s yan hindi pa ganon ka
29:12enhance yung mga technologies natin.
29:14Marami talagang setbs yan.
29:17Okay. Although it showed a lot of
29:20promise pero limited pa rin kasi yung
29:24storage dati yung computing power din
29:27kasi nga ang computers dati hindi pa
29:29naman ganon ka-modern. 1960s 1970s pa
29:31nag-establish yung modern computers. But
29:35itong mga 1950s na to, yung mga panahon
29:38na yan and so on, it a lot of
29:41limitations because of how will they
29:43store the data. Kasi if you will train
29:46AI definitely it will cost a lot of
29:50money and at the same time a lot of
29:52storage.
29:54So yun yung problem dati and it led to
29:58AI winters. Basically pag sa m AI
30:00winters, ito yung mga periods na kung
30:02saan yung mga taong nag-i-invest sa AI
30:05nag-back up nag-backout sila kasi wala
30:08naman pala hindi pa natin kaya nung
30:10panahon na yan.
30:12But because of the third industrial
30:14revolution and because uh nga ba
30:18na-establish yung computers
30:21ah those big data and powerful computers
30:25together with deep learning it drive the
30:28applications of AI in language, vision,
30:30robotics and generative tools. Kaya nung
30:341990s meron na talagang AI non kasi nga
30:38na-solve na nila iyung problem about
30:40storage and computing power.
30:43Okay? So yun siya.
30:46At ang AI ay isang big umbrella term.
30:50Ang artificial intelligence
30:52napakalawak niyan.
30:58Meron pa yang iba't ibang subset.
31:01Okay.
31:03At mangikhina natin dito sa slide na
31:04yan. Anong sabi dito?
31:08AI is the big umbrella.
31:11It is the big idea of making machine
31:14smart. Ginagawa mong matalino yung
31:17machine like us. For example, si Siri,
31:21si Alexa dati or even si Google dati.
31:24May ganyan yan. Yung mag-o-ok Google ka
31:26lang. Um tapos if you have questions ba
31:31Siri Alexa and others will answer your
31:34questions.
31:36Parang ganun din naman sa mga proms
31:37natin ngayon ba na if you search kung
31:41ano if you use any AI assistant
31:44technologies
31:46basta magbigay ka ng prompt or magbigay
31:48ka ng question sasagutin ka talaga
31:50niyan.
31:52But remember human strain AI.
31:55Kapag ikaw ay nagbigay ng prompt diyan,
31:57ia-analyze yan as data
32:01at naghahanap siya sa internet sa
32:03worldwide web ng connected doon sa
32:06prompt na binigay mo
32:09and the AI will try to make sense of
32:12those things tapos babalik niya sa A
32:15yung yung sagot.
32:18But again, it can be wrong.
32:22It can make mistakes. Pwedeng mali yung
32:25pagkakaintindihan sa prompt mo or mali
32:28yung nakuha niya ring information.
32:30So you have to check.
32:33But right now, nagiging successful na
32:35tayo in making machine smart.
32:40Okay.
32:42Kahit nga sa iba't ibang machines, hindi
32:44lang sa computer no. Where yung iba't
32:47iba nating mga kasangkapan, mga devices,
32:49we we made them smart na
32:54sa washing machine nga lang na
32:56automatic. Hindi ba kayang kayang
32:58i-sense ng device ah ng nung machine na
33:01yun kung gaano kabigat yung nilagay mong
33:03damit at kung ilang minuto niya yung
33:05kailangang labhan.
33:07That's a big sub ano big set big term.
33:10The big umbrella is AI.
33:13Now, what's ML? This is not your
33:15favorite uh eames ano ML is machine
33:19learning here.
33:22And ah dito naman syempre dahil nga
33:25naturuan na na-train natin yung AI to uh
33:28na maging smart dito yung mga machines
33:31natututo na sila ng kusa based on data
33:34and nag-i-improve sila over time. So ano
33:37ibig sabihin nito sir? Ano yung machine
33:38learning na to? Halimbawa yung Netflix
33:41kapag ka nagbukas ka ng Netflix mo at
33:45nanood ka ng some for example
33:47Spider-Man. Meron bang sa Spider Netflix
33:50sa Spider ah Spider-Man sa Netflix or sa
33:53Disney Plus ata yun. Anyways, um pag
33:57natapos mo 'yun at kapag engage ka do,
34:00maintindihan ng data yun for machines na
34:02ito yung gusto mo. So sa algorithm niya,
34:05yan yung ire-recommend niya sa'yo.
34:08Kaya kapagka natapos mong panoorin yun,
34:12Netflix will recommend you to watch
34:13other videos. Ganun din sa YouTube.
34:17Hindi ba? Kapagka nanood ka for example
34:20ng ah video about polynomials,
34:24miya-maya pagkapatos mo na yun, bibigyan
34:27ka ng recommendations ng YouTube na ito
34:29naman yung panoorin mo na related sa
34:30polynomials.
34:33So
34:35they learn from us.
34:38Those machines learn from us. And
34:39nagi-i-improve sila overtime kasi mas na
34:42mas mas nak-create nila yung algorithm
34:44mo.
34:47Dlan, it's not dean lister. DL is deep
34:51learning. Mas malalim na pag-aaral ng
34:54mga machines. At ito ay advanced na
34:57machine learning that uses neural
34:59networks with many layers. So halimbawa
35:03yung Google Translate ba ang Google
35:06Translate can uh translate from English
35:09to any other uh languages na ginagamit.
35:15At syempre kada language ng English
35:17Filipino tapos minsan nga nagkakaroon ng
35:19Cebuano or kaya English to German,
35:23English to
35:25ah Malay,
35:27Japanese ni Hongo. Hindi ba? Ah
35:30napakaraming ano non training na ginawa
35:33nung artificial intelligence. So deep
35:35learning siya. So nagsasanga-sanga na
35:37siya. So syempre may ibang may iba
35:39siyang way to process English to
35:41Filipinos, sa English to kunwari
35:45mandarine.
35:46Iba-iba yun. So deep learning yun.
35:48Busising pag-aaral.
35:51And then you also have here CV which is
35:55computer vision. So ibig sabihin
35:57nakakakita na rin yung mga machines na
35:59yan. They're able to understand images.
36:02Kaya nga ' ba nakwento ko sa inyo last
36:04time ang Facebook kaya niyang mag-tag
36:06people sa photos mo automatically even
36:08without you tagging the person directly
36:11or manually.
36:14Ganun din sa ah tawag dito ganun din sa
36:19iyong gallery sa phones. Hindi ba? Kasi
36:23hindi ka na kumbaga kung nag-picture
36:25yung katabi mo sa phone mo
36:28hindi mo ginagawa ng album pero makikita
36:30mo miam-maya may album na na naka-create
36:33for that person because machines can now
36:37see and can understand images dahil nga
36:40na-train siya na those faces are also
36:42data. Kapag ka nakita niyang magkamukha,
36:45isasama niya sa isang album or kaya
36:47kapag nakita niya na ito yun sa
36:49Facebook, ita-tag niya yun sa photo mo.
36:53That's computer vision. And all of those
36:56are part of this big umbrella term,
36:59artificial intelligence.
37:04So napakarami naman talagang
37:08ah naitutulong ang AI no. Lalong-lalo na
37:11nung umusbong yung mga ngayong 2020s
37:14nung pandemic no yung chat GPT.
37:16Nag-improve yung mga models niya.
37:18Nagkaroon ng iba't iba pang AI, meta AI,
37:22Claud
37:24Cilot at marami pang iba. Definitely
37:27hindi lang naman yun.
37:30Marami siyang natutulong in terms of
37:32STS.
37:35At note please note that pwede nating
37:39i-relate siya sa lahat ng terms na yan
37:41sa STS because AI is developed through
37:43scientific research.
37:46Ito ay nangangailangan ng computer
37:47science definitely kasi sa computer to
37:50ginagawa. Tine-train ng AI through
37:52computers. mathematics because we're
37:54talking about algorithms, we're talking
37:56about equations na para mas ma-train
37:59natin yung AI to do uh to do things
38:03accurately and neuroscience because it
38:06needs to think like humans. It need to
38:09uh it needs to write like humans.
38:14technology it becomes real through
38:16applications such as chatbot chatbots at
38:20GPT o mga ginagamit iyung mga chatbots
38:22na AI robots because robots are also
38:26powered by artificial intelligence yung
38:28mga programming diyan si Tesla
38:31self-driving cars gumagamit siya ng
38:33artificial intelligence to to you know
38:36para mag-selfdrive siya in such
38:40medical tools to ah para mas maging Ah
38:44precise 'yung mga operations 'yung
38:47pag-oopera, AI and it affects how we
38:51leave, work and communicate. Kaso ang
38:53problem it tra issues on ethics. Ethical
38:57pa ba na sa lahat ng sinusulat natin,
38:59lahat ng ating mga ginagawa eh AI na
39:02lang aasahan natin?
39:04Hindi ba ethical? Hindi ah kumbaga ano
39:07ba yun? Ethical pa ba yon?
39:10Baka we can go back to basics and we
39:12talk like us. We think like us hindi
39:15natin kailangan yung
39:18application na tayo lang din naman ang
39:20gumawa kasi ano na eh marami ng mga ah
39:25tawag dito issues talaga diyan. Ethical
39:26ba na mag generate ka ng posters
39:32AI?
39:34You have the talent eh. We have the art.
39:37We have the skills. We are humans. Bakit
39:39kailangan pa nating magpagawa ng poster
39:42sa AI?
39:45Issues about jobs.
39:48Hindi ba? Kasi meron na nga daw iba na
39:52kaya na silang palitan ng AI.
39:55Pero again, sinasabi ko no, AI
39:57artificial intelligence yan. tayo kung
40:00AI man tayo, authentic ang intelligence
40:02natin.
40:04Definitely hindi tayo dapat palitan ng
40:06AI.
40:09It also raises inequality kasi ang
40:10gumagamit diyan ay yung mga may access
40:13lang doon
40:15decision making. Minsan inaasa mo na
40:18lang sa AI ang decisyon mo sa buhay
40:22' ba.
40:24Ayun
40:27isa sa mga prominenteng case study or
40:30case rather na pwede nating pag-aralan
40:32dito ay angilica.
40:36Ang paxilica hindi niyo itatayo no doon
40:38sa sa New Clark City. Ang Paxilica ay
40:42isang initiative AI partnership ito na
40:46ang may hawak ay US. Syempre kalaban
40:49nila ang China dito ba kasi ang China
40:52meron na rin yangang mga ah AI hubs
40:56no. Ang Sheng ang Shengen tuloy visa yun
41:00sa Europe. Ang Shenzen Sorting Center
41:03yan mga supply chains din yan for AI.
41:05Kaya nga napakarami ng mga products, mga
41:07semiconductor chips na ah napo-produce
41:10din sa China.
41:13But syempre ang US gusto niyang ah
41:16talunin yun yung idea na iyon. Hence
41:18meron silang initiative and it launched
41:22to build secure supply chains for AI,
41:25for semiconductors, for minerals at
41:28nakita at ba um definitely hindi naman
41:32nila kayang mag-stand on their own.
41:33Kailangan nila ang iba't ibang mga bansa
41:37for them to harness
41:39minerals.
41:41Okay?
41:43Ah and ayun the Philippines through our
41:47president we joined the Paxilica in 2026
41:51April if not mistaken. At isa sa mga
41:54plano nila sa initiative na iyon or sa
41:56partnership na iyon iyon ay
41:57mag-establish ng kauna-unahang AI native
42:00industrial acceleration hub sa Southeast
42:03Asia.
42:06Okay? At yun ay itatayo sa New Clark
42:08City. Wala pa namang pirmahan na
42:10nagaganap sa November pa. But ah highly
42:14likely syempre pipirma ang government
42:16natin because you know [tawanan]
42:19alay natin ang US. Tinitingan na natin
42:21as alay ang US. ang Imperialist US at
42:25nasakop tayo niyan. So very influential
42:27sa atin ang United States.
42:30Sa November ang pirmahan at ' ba kung
42:32nababalitaan niyo kapagka daw hindi tayo
42:36pumirma
42:38mawala sa atin yang opportunity na yan
42:41create the first AI hub at mapunta sa
42:44iba pang mga Southeast Asian countries.
42:46Sa akin walang problema sa kanila na
42:48lang.
42:49Uh
42:51this initiative aims to strengthen
42:55daw our economic security, magkaroon ng
42:58investment sa high tech mga technologies
43:01and position the PA the Philippines as a
43:04regional hub for AI driven industries.
43:07But then again,
43:10ano yung mga opportunities and concerns
43:12no? Ah nabanggit na natinung
43:14opportunities. Sabi makakatulong sa atin
43:17sa sa ekonomiya natin kasi nga
43:19makakapag-provide ng jobs itong AI hub
43:21na ito sa mga tao.
43:23Um magiging tanyag tayo sa industry ng
43:26AI, semiconductor manufacturing at sa
43:29iba't ibang industries. Kasi nga sa
43:30Pilipinas ginagawa ngayon yung mga
43:33semiconductors na yan na nanggagaling sa
43:35iba't ibang mga minerals ano
43:39nag mga high skill jobs tataas ang
43:42kumbaga bababa ang unemployment rate
43:44natin so makakatulong daw siya sa
43:46ekonomiya natin
43:49but we have to take note na ang parang
43:52mangyayari lang sa atin diyan sa
43:53Paxilica na yan na AI hub
43:56'yung lupa lang sa atin kumbaga itatayo
43:59siya sa lupa natin pero wala pa sa
44:02kasunduan. Ano ba yung technology
44:05transfer?
44:07Ito ba ay kumbaga yung bang technology
44:09na to? Pwede ba nating sabihin atin?
44:13Baka kasi mamaya ang habol lang sa atin
44:15ay ang ating land
44:17at minerals.
44:21Baka naghanap lang pala talaga sila ng
44:23lupa na kung saan maai silang maraming
44:25makuhang minerals. dahil sa Pilipinas
44:27maraming minerals na pwedeng i-convert
44:29into semiconductors and different
44:32materials. Baka pinoposition lang nila
44:34yung 'di ba yung
44:37kanilang hub here just so they can
44:41exploit a lot of minerals from us.
44:45That's a problem.
44:47Wala rin kasing technology transfer pang
44:50nababanggit.
44:52Yun nga yung sinasabi ko na pwede man
44:54nating sabihing atin itong mga
44:56technologies na gawa dito sa AI hub na
44:58ito
45:01or baka mamaya kasi sasabihin made in
45:03the United States of America din
45:06ba at mas magiging dependent tayo sa
45:09technology sa kanila
45:13and syempre AI ito AI is very hungry
45:18sa tubig at energy
45:21na kung saan it may increase pressure on
45:25water eh kulang na kulang na nga tayo sa
45:27tubig sa kuryente pagka mahal-mahal na
45:30and land resources to support AI
45:32infrastructure and take note na ah
45:40take note ang AI itong AI hub na 'to 247
45:43to gagana hindi naman umaga lang hindi
45:46lang naman gabi lang
45:48247 Seven, kailangan niya ng electricity
45:51to power 'di ba? Ah to ah to function.
45:56Kailangan niya ng water to cool down its
45:58systems.
46:01That's a problem. Very very ah tawag
46:04dito ah problematic.
46:10It raises questions about whether
46:11Filipinos will catch longterm value.
46:14Kasi nga makikita baka mamaya cheap
46:17labor naman.
46:19Alam naman natin sa Pilipinas napakababa
46:21ng pasahod. Kaya nga ang mga US based na
46:25companies, mga Asians ang hina-hire sa
46:29mga call center nila, sa BPO nila kasi
46:32mababao dito.
46:35So basically, tayo ba ang makikinabang
46:37dito or sila yung makikinabang? Tayo pa
46:40y'yung nawalan ng resources. tayo pa
46:41'yung naubusan ng tubig at kuryente. So
46:44those are concerns. At itong mga
46:46concerns na 'to ay kailangan pagisipan
46:49maigi ng government. Are they willing to
46:51take the risk? Kasi baka mamaya we
46:54become more dependent on foreign
46:57technology capital and markets. At tayo
47:01ang taga-supply lang ng cheap minerals
47:03nga marami tayong minerals in labor.
47:09Marami pang problemang AI no hindi lang
47:11sa ekonomiya okay na it increases
47:15productivity definitely pero it can
47:17displace jobs and widen inequality.
47:20Talaga namang very productive if gagamit
47:22ka lagi ng AI. But is it really worth
47:26the risks na
47:29maraming trabaho ang mawawala because of
47:31that? Paano ang mga tao na dapat
47:33nabubuhay?
47:35'Di ba? Environment, it requires high
47:38energy, water, marami pang bagay.
47:42At maliban do yung digital spaces din
47:44kasi masyado ng maraming AI generated
47:48material sa Facebook.
47:54pag nakikita mo yung iba't ibang mga
47:56eskwelahan yung Dep schools
47:59ang dami na
48:02hindi lang sa mga eskwelahan
48:05maging sa mga ano
48:09tawag dito mga iba't ibang bagay sa
48:12politics nga lang eh napakaraming AI
48:14nakakapag-generate pa ng deep fakeso
48:18ganito ginawa sa AI itong mukha niya
48:20sinabi niya daw ito hindi
48:24Sorry misination and disinformation
48:28privacy risk din ito. Okay? So ayun
48:34and this one wala to sa slide niyo but I
48:37added here um an article from the United
48:41Nations.
48:42Sabi dito our scientist
48:45um estimated
48:47ano yung mangyayari sa AI. ano yung
48:50mangyayari or gaano kadami rather yung
48:54ginagamit na resources ng AI and sabi
48:57nila AI is threatening natural resources
49:00for billions of people.
49:04Okay? You can click sa article na ito to
49:07further read this. Although I will also
49:09include uh this as part of my
49:12instructions about your recitation so
49:14that you can also share what you have
49:16learned from this article.
49:19Okay. Ah sabi dito oh ah napakalaki ng
49:23mako-consume na kuryente ng AI. So for
49:25example yung projected demand sa 2030
49:28yung yung kailangan niya daw na kuryente
49:31twice the France 2025 Electric
49:34Consumption.
49:36Napakalaki.
49:38France na yun ah. We're talking about
49:40France. one of the most populated
49:45countries sa Europe
49:49tourist destination din
49:51ba because of Paris
49:54um
49:56napakarami nito carbon footprint water
49:59footprint na kung saan yung at yung mga
50:01data center to cool down the systems ng
50:04AI it will use annually 9.3 3on lit
50:09na sana ay mapupunta na sa 1.3 billion
50:12people sa Africa para magamit nila as
50:15water
50:17kasi ang AI din mapili yan sa water.
50:19Gusto niyan yung ano pure na water.
50:22Hindi hindi waste water ang pwede diyan
50:25to cool down its system. Kailangan yung
50:27ano talaga filtered
50:29malinis na tubig
50:32to cool down. Marami pang bagay, marami
50:34pang data dito. Pero ang dalawa sa mga
50:38AI giants talaga ay ang US China.
50:42Talagang dito sa mga taong ito
50:44napakarami na gumagamit ng AI, sa
50:47businesses, sa personal use and such.
50:53Tapos isa pa, electronic waste. Syempre
50:57ang mga machines na yan, those are
50:58powered by electricity. Those are
51:00electronic waves.
51:03So ayun.
51:06Alam mo maganda madaling sabihin ong mga
51:09bagay na to na nasa slides. Ano ba ano
51:11yung mga ah as AI users? How to become
51:14ethical, how to be responsible.
51:16Napakadali eh. Napakadaling sabihin na
51:18gamitin mo yung AI sa tama.
51:21na mag-double check ka ng information,
51:24na respetuhin mo yung privacy ng tao, na
51:26maging tapat ka bilang isang estudyante,
51:29bilang isang tao na you don't use AI for
51:32cheating, for plagarism or spreading
51:34misinformation
51:36and maging accountable ka. Remember that
51:38we as humans not AI are responsible for
51:41choices enough. Napakadaling sabihin
51:43yan.
51:44Pero at the end of the day,
51:48kahit na maging ethical user ka,
51:50napakaraming gumagamit ng AI. We hope
51:53that they are also ethical users. We
51:56hope na i-limit nila yung pagtatanong
51:59nila, pagbibigay nila ng prompt ever na
52:02magpapagawa sila ng image or video. But
52:04then again,
52:07ilan lang ang mga ethical users?
52:12How can we really be responsible as ano?
52:16Sa Pilipinas may tinataguy na AI
52:18Governance Act sa House of
52:20Representatives through Acbayan Party
52:22list through Attorney Shell Joko.
52:25Pero dapat mapag-usapan ng maayos. Paano
52:28nga ba ang gagawin sa AI dito sa
52:30Pilipinas?
52:33Hindi ba?
52:35So ayun.
52:36So let's just I think watch this video.
52:39Okay? And
52:42maya tingnan natin kung
52:46pwede niyong isagot din ito. I-share
52:48niyo as part of your attendance for this
52:50week kung ano yung mga natutunan niyo
52:52dito sa video na ito. Let me just turn
52:56on the sound. Ayan. Turn turn turn it on
53:00already. Sana maririnig niyo to.
53:57Hey mom. Hey dad. It's me Ella.
54:02Well, a digital version of me just a bit
54:05older. Amazing what technology can do
54:08these days, isn't it? All you need a
54:11couple of pictures like the ones you on
54:13social media where they can be taken and
54:17used
54:18by everybody.
54:22I know for you these pictures are just
54:26memories but for others they are data.
54:29And for me the beginning of horrible
54:33future future where
54:37I can go for things would never do
54:41my creditore
54:45my copied to you
54:51don't want to become
54:57you loser.
55:04And I certainly don't want
55:09this.
55:15What you share online
55:17is like a digital
55:19that will follow me around for the rest
55:21of my life.
55:24I'm telling you this because I know you
55:25love me and would never do anything to
55:28harm me
55:30so please
55:32dad
55:33protect my virtual privacy.
55:49Right. Sana narinig niyo yun. Kung
55:51hindi, ipapadala ko sa sa
55:54ating GC ang video. But yeah,
56:01if narinig niyo man ba nakita niyo na
56:05bata pa yung anak nila but as parents,
56:08as proud parents, definitely they will
56:10post things or updates about their
56:14child, about Ella.
56:16But then in just one photo,
56:20using just one photo,
56:23a person can create an older version of
56:27of Ella. Nakita natin yung babae.
56:31At because of those photos, because of
56:33those videos na ina-upload online, pwede
56:35ring mamimik yung voice, pwedeng
56:38ma-stall yung identity niya, ma-steal
56:40yung identity niya. Marami pang bagay.
56:43And even yung sa last part 'di ba? It
56:46can also be used by feedophiles
56:51by ah those people na
56:55mga sex addictes they can generate a
56:57picture na naked.
57:00So it's really saddening. It's really
57:01saddening, you know, uh how we use
57:05technology not for the improvement
57:09of our society pero ano para mas maging
57:13malala pa yung nangyayari sa lipunan
57:15natin.
57:17So with that, kung na kung narinig niyo
57:19man yun o kung hindi man, kung panoorin
57:22natin yung ise-send kong link, the video
57:24of Ella shows how sharing personal
57:27photos online can lead to longterm uh
57:29consequences beyond our control. Once
57:32data is uploaded, once picture is
57:34uploaded, it is easily
57:38converted to data.
57:41We often lose ownership and cannot
57:43predict how it will be used.
57:46So you can also answer you can also
57:47share your thoughts by answering this.
57:50Why do you think people still share so
57:52much personal information despite this
57:55risks? And what responsibilities do
57:59individuals, families and society have
58:02to protect data privacy?
58:06Because it's really concerning now na sa
58:08sobrang daming information, sa sobrang
58:10daming content, sa sobrang daming images
58:12sa social media, napakadali naman
58:15talagang ma-steal ng identity mo kung
58:17kung may mga masasamang tao. tao that
58:20will do so. But mind you, marami na ring
58:25ganyan. Marami ng nagsi-steal ng
58:27identity, gumagawa ng AA generated na
58:31photos or minsan nga videos and sounds
58:33pa nakatunog mo kamukha mo.
58:38Kasi kahit tayo nag-e-engage tayo sa
58:40ganyang mga bagay, hindi ba? Mga
58:42nauusong trend na sa Facebook, bubuksan
58:46mo lang yung link tapos makikita mo na
58:48anong itsura mo kapag buntis ka o kapag
58:49tumanda ka or anong itsura ng anak mo
58:53yun talamak ang
58:56ano doon
58:58ang
59:01mga pwedeng gumawa ng masama sa data mo.
59:08To end this, the future will not belong
59:10to those who simply use artificial
59:11intelligence.
59:13The future will belong to those who
59:17cultivate authentic intelligence. Yes,
59:19we we use AI but you still cultivate
59:22your own mind, your own intelligence,
59:25your authentic intelligence.
59:28And as future professionals,
59:30as citizens of this country,
59:33one global citizen, as a global citizen,
59:38may we use technology not only to make
59:40the world smarter but also make the
59:43world more humane, just and sustainable.
59:47not only for our generation but for the
59:51future generations to come.
59:54And with that, that's it for our
59:58lecture for today. Thank you so much for
1:00:00watching and I hope you have learned
1:00:02something. Please don't forget to answer
1:00:05any of the discussion proms that I have
1:00:07raised. No yung una yung about sa
1:00:10misinformation disinformation deep
1:00:12fixes. Ikalawa yong sa social media ng
1:00:15prompt about fake news hindi ba? And
1:00:19yung ikatlo about video ni Ella. So you
1:00:21can try to answer any of those questions
1:00:24as part of your attendance and please
1:00:27share your thoughts dito sa comment
1:00:29section sa YouTube.
1:00:31Two to three sentences may do. Maraming
1:00:34salamat foring باe inارin

About this transcript

This page contains the full transcript of STS Lesson 1.3 The Information Age and Artificial Intelligence by Aces Joseph San Pedro, generated from the public captions YouTube serves with the video. The transcript has 7,355 words across 1,264 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.