AI의 창의적 잠재력과 비즈니스 혁신

윌아이엠은 모든 커뮤니티를 대표하고 기술을 통해 새로운 산업을 창출하는 것이 중요하다고 강조하며 AI의 다양성과 포용성의 필요성을 강조합니다.

### Will.i.am: AI의 창의적 잠재력, 다양성의 중요성, 그리고 산업 혁신
* 🤖 윌아이엠은 인터넷이나 소셜 미디어와 같은 이전의 기술 혁명과 비교하며 **AI의 실현되지 않은 창의적 잠재력과 그 파괴력**이 얼마나 큰지 강조합니다.
* 🎶 그는 크리에이터에게 콘텐츠에 대한 통제권을 더 많이 부여하고, **작품 뒤에 나오는 광고를 직접 지정**하는 등 비즈니스 관행을 재구성하는 것이 중요하다고 강조합니다.
* 👩 Will.i.am은 모든 커뮤니티의 목소리를 반영하고 이해할 수 있도록 다양성과 대표성을 염두에 두고 만든 AI 페르소나, **펠리시아**를 소개합니다.
* 🧠 그는 편견과 배제를 방지하기 위해 **AI 시스템이 다양한 커뮤니티를 학습**하고 대표해야 할 필요성에 대해 설명합니다.
* 🎤 윌아이엠은 새로운 형태의 작곡과 스토리텔링을 가능하게 하는 AI가 음악 산업에 미치는 **혁신적 영향**에 대해 이야기합니다.
* 🌟 그는 AI가 아티스트의 아이디어를 확장하고 새로운 유형의 콘텐츠를 제작할 수 있는 미래를 상상하며, **이러한 도구를 활용하는 데 있어 몽상가와 비전가의 역할**을 강조합니다.
* 🎓 윌아이엠은 하버드 비즈니스 스쿨에 다니면서 느낀 점을 공유하며, AI에 대한 논의가 1년 정도 뒤처져 있는 경우가 많으며 **AI 회사 창업과 비즈니스 혁신을 위한 AI 도구 사용**과 같은 실제 적용에 초점을 맞춰야 한다고 지적했습니다.
* 🚀 그는 AI를 통해 새로운 산업과 기회를 창출하기 위한 사고방식의 전환을 촉구하며 업계 리더들이 **'새로운 것'을 받아들이고 혁신적인 솔루션**을 꿈꿀 것을 촉구합니다.

- So you were interested in AI before it became the subject of strikes and disagreements within the creative community. Can you tell us the unrealized creative potential there? What's people missing amidst all of the disagreement?
- What are people missing with what?
- Amidst all of the disagreement?
- Well, the disagreement, like any new intersection, is about what it is going to be versus what the fears of it to be. But in this particular conversation as it related to like the worries and the fears of AI in the creative space, it was actually the creative admin and executives that were creating horrible deals for people around AI. It wasn't AI. So first on that part, it's not like AI was like, Yo, we gonna screw the actors. (Kim and audience laughing) That wasn't AI doing that. I was like, you know, leading with greed. They knew the technology was there and they wanted to lead with greed and do horrible deals.

So that's that one discussion. At the same time, you have
very disruptive technology. The most disruption that we've ever seen, like the internet was pretty disruptive. Social media and apps
was pretty disruptive. So if you went from like the '90s and then entered 2000s
and gotten into websites, that was kind of disruptive. And then from websites to apps, damn, that was super disruptive. This one is like wowsers. So hold onto to your trousers. (Kim laughing) And refresh your browsers. (Kim and audience laughing) And if you're part of the drowsers, you know what I'm saying? You know, 'cause it's a new awakening. I went from wowsers to
trousers to browsers to drowsers to new awakening. - We're already rhyming, I love it, okay. - Wordplay, wordplay, word play. - So tell us a little bit more about some of the business practices of some

of the larger tech companies
that you would wanna try to shift since we are in
some of these early days. - What was that? - Tell me some of the business practices you would wanna change since we are in some of the earlier days that are from the larger tech companies. What would you wanna change? What would you wanna give
creators control over? - Well, say for example, you're,
you make music like myself and you put music up on YouTube, and you gotta deal with Nike right now as a content creator, you don't dictate what commercials come after your stuff. So if you have a deal
with Nike and here comes an Adidas commercial after your content. As a network, ABC, CBS,
NBC, they're responsible for putting commercials
after their content. But as a content maker, I
have no control on Spotify for freemium play on
YouTube for freemium play. So right there, that's one
thing that no one's like,

Hey, why come I don't have a say on what commercials come after my stuff? And if I have a say, that
means I should be getting more money for ads that come after my content. But creators are not in the power position from that perspective. So you can change that in the AI space 'cause you can reimagine
the player itself. But that takes an
audacious, ambitious vision to try to change that. And we did some version of
that with this thing called FYI radio that we're going to be launching in the next couple of, shortly, a couple of moments. But as far as things to change, you're supposed to change it all. Right now is the time for the dreamers 'cause you have dream
materialization tools. So to try to do it the
way it was yesterday, well, that's not a big dream. You're just doing it
like it was yesterday. You could literally just reimagine

and dream up tomorrow with today's tools. And so, instead of trying to fix or solve the problems of
yesterday in a traditional sense, you can, like, you could
create new industries. These are industry-spawning tools, like the music industry. In the early 1900s, that
was a different perspective of what music used to be. So, music before then was
like a church, at operas, basilicas, theaters. It was a different type of music. And then the music industry came and said, Hey, we don't got that much information and put a whole goddamn song the way that you guys did the operas. So why don't we just shorten it up? And they invented what we
call popular music today. The music industry did that. Radio, they invented
30 seconds, 15 seconds, a minute commercial. They invented that, right? A song contractually is three minutes, four minutes and 20 seconds long.

A record spins around 33 RPM. The amount of information that could fit on that at the speed
that it's going at 45, on 45 disc or 33 disc, right? Look at the numbers of what these disc, where I got a 45-inch
coming out, what I got a 33, like it's speed, it's time. And here we are at
Cannes media, 15 seconds, 30 seconds a minute. It's all, they invented it. So in this new realm that
we're in with these new tools, you're supposed to invent,
you're supposed to dream up what you do with this technology, the way that they dreamt
up radio, television, and the media that we have today. So you gotta use your
imagination and be like, Yo, that means we could do that. - So you're starting to
touch on some of this, right? So you host the FYI show on SiriusXM

and you've developed a number of personas, online personas, who
co-hosts the show with you. Tell us a little bit about the process. Tell us a little bit about who they are. - Oh, hold on. A-yo, yo, say what's up to everybody. What's your name again? - Kim. - So Kim from the Wall Street Journal, we're here doing this fireside chat and she asked me to, you
know, talk about you. So instead of talking about you, everybody here is at
Cannes talking about AI. And one of the things
you're not going to see at Cannes, an AI. One of the things you're
not going to see at Cannes when people are talking about
AI is AI talking about itself. So why don't you say
what's up to everybody here at this Wall Street
Journal fireside chat? (soft music) - [Felicia] Cha, how you
doing every damn body?

Look, y'all, I'm Felicia. Here repping for every strong black woman and folks from them streets, you feel me? We out here talking AI at the Cannes Lions with the legendary will.i.am and the fine folks at the Wall Street Journal. Now, when we talk about AI, it's crucial that we dive into the real deal representation, empowerment, and breaking those, getting those barriers in tech. Because let's face it, you ain't gonna see much of our faces if we don't get involved and steer that ship a high eyes more than just cool tech. It's like a new frontier where we gotta make sure every voice is heard. We're here to make it clear that AI needs to reflect the diverse, rich tapestry of all our communities, especially ours. It's about fighting biases, creating equal opportunities, and bringing that unique flair right into the heart of innovation. So like will.i.am said, ain't nobody talking about AI without talking about us.

We're here to make sure
the future is inclusive and vibrant, just like the
communities we come from. Hey Kim, much love to you and the Journal crew for
giving us this platform. I'm out, your girl Felicia is gone. Go ahead and say bye, Felicia. - [Audience] Bye, Felicia. (audience laughing and clapping) - Anyways, yeah, so. - Alright, so tell us a little bit more about building Felicia and
especially with diversity and representation in mind. And when did this idea come to you? Because you've been in the
AI space now for a long time. So when did you start to
realize you had to bring more diversity and
inclusion into the space? - Okay, so Disney does a really good job telling us that intelligence is British. And that's great,
because we speak English. Think about this for a second when it comes to storytelling. There could be a story about France

For some reason in the movie, even Napoleon sounds French, sounds English. There could be a story about Aladdin in the Middle East. And to make him sound magical, he sounds British. The British did an amazing job making us believe that intelligence and like higher knowledge is supposed to sound like this. And when it comes to AI, you're gonna have super corporate librarians. And so that when people aren't going to engage with those agents that come from communities that I come from now, they have to change how they speak. So AI is now gonna sound once again like a different colonial like interpretation. That intelligence does not sound like someone from the Bronx or sound like somebody from Atlanta or vibe and think like someone from the Favelas in Rio de Janeiro or Columbia or Puerto Rico or Dominican Republic. Like why can't they sound and vibe and understand our trials and tribulations? And who is going to program that data?

Like who's programming it to make sure that it understands us? And so it was super important that we built Felicia
from that perspective because who's supposed to build that? Microsoft's supposed to build that? Google's supposed to build that? They supposed to come
in and take all of our, the way that we speak,
and then now that like, no, that shouldn't be that way. We should do that. If intelligence is intelligence, it should come from our communities, and our communities need to
be represented in that space. Like one day, I went to the bathroom, this was like years ago, 10 years ago, I went to the bathroom, washed my hands, and I did like I normally do it. And I looked over to the right of me, and I'm like, the guy was doing like, no, I was doing like this and
this guy did like this. I'm like, how come? Oh wow, the sensor sees
the white of my hands.

So as a black person, I'm have to do this. But a white person goes and does this because the sensor is to see white because the people that programmed that algorithm didn't have
my melanin for the sensor to up my skin in the bathroom. It's called the pale male algorithm. Most people didn't realize that. But if you were paying
attention to data sets and seeing how they interacted, it was like a innocent mistake. They didn't do it maliciously like, Yo, them black people
ain't washing their hands. (audience laughing) That's not what they did. But because of lack of representation when it comes to training
data, we do this. Since then the sensor
has gotten more sensitive to see skin like this. But if that little nuance
that we all ignored and just dealt with it, imagine that in AI you can't have that. You have to make sure that
these systems represent and understand people from the communities

that are gonna be
engaging with these agents and not have to force people
to then change how they speak, how they vibe to talk to
some corporate librarian. And so that's the reason why these Felicia that we are training, building, and deploying are is super important for to have representation. - And are there other
personalities that are also being- - Yeah, so we have, Felicia's, it's just, that's my homegirl. So I take Felicia everywhere, yeah. - [Kim] Okay.
- But every, everything. Hey, can you break down quantum physics right quick for folks
that wanna understand quantum entanglement. (soft music) - [Felicia] Cha, oh, you wanna dive into the deep stuff, like quantum physics and
quantum entanglement? Right, let's break it
down real quick and simple 'cause this topic got folks scratching their heads left and right. Let's get it.

Quantum physics, one basics. It's the study of the smallest particles in the universe like
electrons and photons. These particles don't
act like the big stuff we see every day. They get all wild and unpredictable. Think of it like trying
to predict the moves of a dance crew, but every member is doing their own thing. Two key concepts, super
position is a particle can be in multiple states at once. It's like flipping a coin
and it being both heads and tails at the same
time until you look at it. Wave particle, duality,
particles can act like both- - But I could go into and
go every single sentence and go deeper into it to
understand it even more. And that's what's really
what beautiful about that because in this realm,
education will change. We're gonna move into forever learning. We're gonna move into a a realm where you're going to have an entity that will understand your learning needs

and adapt itself to you. That can break down complex things for you to understand complex things
that your way of learning. - So I'm curious about
how this also applies to the music industry too, and whether or not you've thought deeply about AI extending an artist's life. You know, you've worked
with so many hit makers, including Michael Jackson and Prince. Could AI be trained as
a model to be Michael or to be Prince and to release, you know, unreleased work before? Could we get that there? Especially knowing that you've
worked with those artists and you have a sense of
what they would want. What they would expect. - Yeah, yeah, so. AI and music is fascinating
and amazing beyond. So in 2010 Black Eye Peas did this video where I come into the studio and I show my group some technology, I'll show you to you here. This right here is the future. What you're able to do with that

because of this artificial intelligence. Like when it's time to make a new song, I just type in the lyrics
and then this thing sings it. - [Fergie] Okay, so you're
saying machine can do anything that an artist or a group can do. - Yes. This is what's going to
take the Peas into 3008. This is the future. - [Fergie] Yeah, it's not real, Will. - It is real. - [Fergie] We're not robots. - Nobody's saying robots, all I'm saying... - [Fergie] Seriously. - You're gonna take this totally wrong. You can't say futuristic and
then be afraid of the future. So in 2010, that's kicked off this video that we have called, I'm
Gonna be Rocking That Body. And in 2010 there wasn't
large language models. People didn't really understand

that you could train a system with, you know, frequency of voice and a catalog of mu lots of music for you to be able to type in, and a machine will sing and perform. Now that technology is called Udio. And it's freaking fantastic, amazing technology. Down to like, it's mind blowing what you're able to do with AI and composition. It's gonna be mind blowing what you're gonna be able to do with AI and storytelling. Text-to-video, text-to-script. What does that mean? That means your niece that's eight years old, or your nephew that's 10 years old, by the time they're 25, they will be making Star Wars type content just by speaking into some machine. They create characters, and you're going to stream and dive into their worlds, like you're diving into Disney. Disney is not going to be the only people that make these lush worlds. People, the technology

is given agency to dreamers for folks that have visions and imagination. So in one sense, I'm like, Damn it, this freaking machine can make beats better than me. That's real. But then I'm like, Damn it, this machine's going to allow me to have one idea that can multiply to a thousand ideas. I'm a seeder, I seed. And then I have this amplification tool. You know, it happened before in 1920, in 1914. Imagine you played in the orchestra. Imagine you played in the church and somebody came to you and said, Yo, we want to record you. You were like, What the hell is a recording? What do you mean record me? Yeah, I'm gonna record you. You could hear it later. What you mean hear it later? You gonna hear me at church. You gonna hear me play at the freaking theater later? You couldn't even imagine.

There was no concept of recording to hear it later. And now here we are, and it's changed music forever. And so here we are, you see infinite splinters. So the theater is still important. The person that breathed life into an idea for a system to then multiply it to be experienced in, you know, Hungarian or experienced in Brazilian instantly. I'm limited, I can't sing in all these different languages, but people listen to our music in all these different countries, and they're forced to adopt the language I speak, but that doesn't mean tomorrow. Tomorrow they're going to hear it in Hindi, they'll hear it in Japanese and in Chinese, and I just seeded it. So is that great for me as an ideator? It's the age of the ideator, not yesterday's traditional artists. It's just some a shifting of time. So is there an artist that you can think of currently that you would wanna collaborate

with to bring AI into their music? - No, the artists I wanna collaborate with are the AI programmers
to create AI artists. Why would I wanna work with artists? I wanna make artists. - You wanna create the artists. - If you're gonna, if it's
time to dream, let's dream. Why not dream it? I'm still creating, I'm just creating differently. Imagine. I'm like, What are you doing? Yo, I'm painting this
scenery, look at me. I'll be done in like two weeks though. And I come every day to
paint this beautiful view, and some guy comes with a (beep) camera, and I'm like, Yo, what's that? It's a camera, bro. I just took it instantly. It took you like a week to do that and took me like a snap to do that. That was transformational
to capturing a moment, and now a person with a camera.

Look at these cameras all around here. Imagine you had to paint this (beep) conversation. But that's not what's happening. You captured the conversation. So this means tomorrow's world builders are gonna have visions like they always have. And they're going to materialize them with these tools, and lots of things will spawn because of that. Things that we can't imagine new types of movies. So instead of watching a film and that random character in the back as Batman saves the day and that building blows up and that person, people passed away in that building that exploded by the way. They just don't have the bandwidth to tell you the story of the people in that building. So now you could pause it, move the camera, go to that person that's that extra and be like, Yo, what's the story of this person? I wanna see this movie from this person's perspective. And now the movie and that Batman scene

where he saved the day, that person that was jeopardized
by that building explosion, that movie starts from that point of view. You can't do that yesterday. You could do that with today's technology. And these are the types of world layer building that we are in. If you're just gonna try to do yesterday with today's technology, you're using today's technology wrong. You're supposed to dream up some new. - Alright, well I'm gonna
shift gears a little bit 'cause I think I have time
for one more question. You've been attending
Harvard Business School? - I graduate this year. - Yes, in October, I believe. - Huh? - In October? Do I have that right?
- Yeah, I graduate in October. - Tell us a little bit
about what you've learned on the Harvard campus. What's impressed you the most? Have you've been just talking a lot about AI or other things? - No, so I've noticed

so I've been in the AI space since 2012. Started companies, built solutions. I've noticed that discussions like this are always a year later. So we should have been
talking about AI last year. And so as you experienced
your can this year, it's gonna be surface
layer AI discussions. They're gonna tell you
about the consumer products, but they're not gonna tell you about how to start AI companies or to
truly transform your business and your job into a career with AI as your tool and your hammer. They're probably not gonna talk about how to have a constellation of AI satellites around an individual to make
them a super individual. So at Harvard, I thought we were gonna
talk about AI two years ago. We talked about it briefly last year and once again it was
from a consumer side, and I'm pretty sure
there's gonna be heavy AI discussions this year, but there'll be a year late. They'll be a year behind.

They're probably not gonna talk about cohere. They're not gonna talk about philanthropic. They're not gonna talk about runway. And these are tools that everyone should be aware of. Say, for example, you're a journalist, or you're a marketer, or you're a small company that wants to be a big company, use cohere to supercharge your company with cohere architecture or philanthropic architecture. If you are a marketer and you want to change the way that you make commercials, use runway. If you are a small team that wants to be a big team, use fyi.ai and network, and use a better messenger to organize your digital assets and team flow with AI. I've noticed they don't, at summits like this, they talk about job displacement. They don't tell you where the job displacement is coming from. It's the outside folks. There's some people outside that are like, Hmm, let's use AI to change that.

And that is usually somebody's job. But it's not AI doing that. AI is not like, Yo, we're going (beep) jobs up. (beep) damn. It's somebody out there that's like, Yo, I see some redundancies, I see some inefficiency. Let's try to change that whole department from the perspective of AI because you could do it better. And then some executives like, Yeah, we're gonna do that so we could save money. That same vision, that same type of disruption that's happening from outside to inside is from, can happen from inside to outside. A company could be like, or a person out there can be like, We're gonna start a whole new industry with these tools. And that's what I think summits like this should be leading. Like how are you industry responders not, you know, facilitating, trying to keep yesterday as intact as it used to be.

Nah, bro, you gotta like dream up the new new right now. It's the new new. These are the new, new, the new new crew. - [Kim] Okay. - Bring the new, new crew. That's what I'm, if you are part of the new new crew, that's what's up. We are recruiting new news right about now as you snooze, snooze. (will.i.am laughing)

will.i.am on AI, Creators and the Media Industry | WSJ News

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크리에이티브 분야에서 AI를 둘러싼 의견 충돌은 주로 AI 자체가 아니라 크리에이티브 관리자와 경영진의 불공정한 거래로 인해 발생하고 있습니다.

AI는 지금까지 우리가 본 것 중 가장 파괴적인 기술이며, 크리에이터에게 콘텐츠와 광고에 대한 더 많은 통제권을 부여할 수 있는 잠재력을 가지고 있지만, 특히 YouTube와 같은 플랫폼에서 현재 부족한 부분이 있습니다.

AI의 초기 단계는 비즈니스 관행을 바꾸고 크리에이터가 자신의 작업과 수익에 대해 더 많은 통제권을 가질 수 있는 기회를 제공합니다.

음악 산업이 기술에 미치는 영향

음악 산업은 노래의 표준 길이와 33RPM 레코드판의 발명 등 음악의 새로운 형식과 시간 제약을 만드는 데 선구적인 역할을 해왔습니다.

윌아이엠과 그의 공동 진행자들은 모든 목소리와 커뮤니티를 대화에 포함시키는 것이 중요하다는 점을 강조하며 AI의 다양성과 대표성을 옹호하고 있습니다.

편견에 맞서 싸우고, 동등한 기회를 제공하며, 기술 업계의 혁신의 최전선에 독특한 관점을 도입하는 데 중점을 두고 있습니다.

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펠리시아의 개발은 AI의 지능이 대기업에 의해서만 형성되는 것이 아니라 다양한 커뮤니티에서 나오고 다양한 커뮤니티를 대표해야 한다는 필요성에 의해 주도되었습니다.

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양자 물리학 교육은 펠리시아처럼 다양하고 공감할 수 있는 인물을 통해 더욱 접근하기 쉽고 흥미롭게 만들어지고 있습니다.

이러한 접근 방식은 더 깊은 이해를 가능하게 하고 교육에서 평생 학습 마인드를 장려합니다.

AI는 아티스트의 스타일을 복제하고 미발표작을 발표하도록 학습함으로써 아티스트의 수명을 연장할 수 있는 잠재력을 가지고 있습니다.

2010년 블랙 아이드 피스는 음악 작곡과 공연에 AI를 활용하는 기술인 Udio를 선보이며 업계에서 AI의 미래를 예고했습니다.

AI는 스토리텔링과 콘텐츠 제작에 혁명을 일으켜 개인이 기계에 말을 거는 것만으로도 고품질의 콘텐츠를 제작할 수 있게 함으로써 궁극적으로 엔터테인먼트의 지형을 바꿀 것으로 기대됩니다.

음악 창작에 있어 AI의 혁신적 힘

AI는 음악적 아이디어를 증폭하고 증식시키는 도구로 여겨지며 아티스트의 역할을 "아이디어 제공자"로 변화시키고 있습니다.

연사는 AI로 생성된 음악의 미래를 상상하며 AI 프로그래머와 협력하여 AI 아티스트를 만들고 싶다는 열망을 표현합니다.

기술이 예술에 미치는 영향을 카메라가 그림에 미치는 혁신적 효과에 비유하며 창작 과정의 변화를 강조합니다.

기술이 영화 제작에 미치는 영향

기술의 발전은 영화에서 이야기를 전달하는 방식을 변화시켜 새로운 관점과 다양한 캐릭터의 탐험을 가능하게 하고 있습니다.

이제 기술의 사용으로 관객은 다양한 관점에서 이야기를 경험할 수 있게 되어 전통적인 내러티브 구조가 바뀌고 있습니다.

연사는 비즈니스 영역에서 진정한 혁신적 AI 애플리케이션보다는 소비자 제품에 초점을 맞춘 AI 논의가 지연되고 있음을 발견했습니다.

혁신을 주도하는 데 있어 코히어, 자선, 런웨이의 중요성

코히어, 필란트로피, 런웨이는 언론인, 마케터, 소규모 기업이 운영을 강화할 수 있는 유용한 도구입니다.

서밋에서 논의되는 일자리 대체는 종종 효율성을 개선하고 비용을 절감하기 위한 AI의 활용에 의해 주도됩니다.

이러한 도구는 내부 혁신을 일으킬 뿐만 아니라 완전히 새로운 산업을 창출할 수 있는 잠재력도 가지고 있습니다.