Latest / Talk to Prince Show - Solving World's Problems / Avoid Data Colonization and Data Slavery 52224
Transcript
- 0:01And I said to the brothers and sisters that laziness, entitlement, and victim
- 0:09heard shall soon consume the Silicon Valley. And all these AI tech companies are
- 0:18generative ais. They shall want, they choose not to work, but they
- 0:25shall be lazy in creating content, or creating or inventing new things. And
- 0:34all I said to your brothers and sisters, they that they shall do.
- 0:39That they shall still the hard work and creative works of other Americans, and
- 0:46they shall look for ways to copy it. And they shall look for ways
- 0:51to plagiarize the hard work of others. And they shall fit all these in
- 0:56their systems of autonomy agency control, and they shall have dominion ourdays creative inventive
- 1:07works of others, and that shall not be fair. They shall steal from
- 1:15others, and I shall be against the law. They are infringed on the
- 1:21copyrights of others, I shall be against the law. There's a manipulic the
- 1:27content and creativities of others, and I shall be against the law. They
- 1:36shall not be creators. There are not be inventors. They are not being
- 1:45novators. But they shall be corrupt in their malicious intent. How to steal
- 1:53by tricks stealing by tricks shall not be accepted. It shall be upon the
- 2:06Silicon Valley and new generative AI industries to pay for the content that they use.
- 2:21Because we need to think about ethics, the ethics behind the generative AIS.
- 2:32We need to think. We need to ask all those questions and answer
- 2:38these questions. The data, where does it come from? Who owns that
- 2:50data? Is a ditror owned by the web. Because it's in the open
- 2:57web. Doesn't mean that if you can Google something, then googles that,
- 3:04then Google owns that content. Doesn't make if he pays something on you Tube,
- 3:09or pay something on Facebook or Instagra, or if there's something out there
- 3:15in the cloud in your name or your email, does it mean that some
- 3:22one else has the right to that because they're on the Southwest that let you
- 3:29post your stuff, or because he used the un medium she there therefore only
- 3:37your content. The laws shall be clear on that. Give to Caesar what
- 3:46belongs to Caesar, to God what belongs to God. It takes time to
- 3:51create, It takes no time to steal. What is worse than stealing,
- 4:00it's refusing to give the rights to somebody authorship or creatorship when it's there.
- 4:14We need to know those laws and rules and ethics binding and governing content creation,
- 4:23content ownership, content usage, and content transfers. The more theater that
- 4:41people collect, the higher the propensity of abuse. If you're that smart and
- 4:49are intelligent, don't steal from others. Just pay people for what they make.
- 5:02Reward people for their creativity. You can create yours, but if you
- 5:10can create place, give honor or respect, or create a way to do
- 5:24the generative. AIS must state where the content is coming from. The generative
- 5:33They don't generate content, the copy content. They don't create content. They
- 5:47do create content. So we must very keen about that. It takes a
- 5:57human mind to be creative. I'm like human. Mine is passed onto a
- 6:02machine, on AI device or generative device. We should respect the creator,
- 6:15the artists, the makers of those content. You cannot ignore that. You
- 6:30cannot use some types of laws or some manipulative systems to steal from people.
- 6:39If content is not yours, it means you didn't create a content. You
- 6:45cannot steal what you didn't have, or you cannot take what you don't.
- 6:48You didn't keep if you didn't make it, if you don't own it,
- 6:56if somebody has made it give them the right. It's the way of thinking.
- 7:09The digital world is changing, the media landscape is changing. The airole
- 7:16is upon us. One thing that you declear the IP intellect. Your property
- 7:29rights must be respected companition of be allowed to manipulate the law or the lobby,
- 7:41the Congress, or the courts to take away from the common person their
- 7:49creativity, their talent. It's a shameful thing to minimize the people that you're
- 8:03stealing from. It's a shameful thing to say you're that intelligent and steal from
- 8:13the people that you did not worthy. The ethics on AI should be mindful
- 8:28and consider it and honest and transparent with data. Who made the data,
- 8:39where the data is coming from, who owns it, Who has the right
- 8:46to it. We write the paper inside the suce. So when you accume
- 9:01data I want to use it, just respectfully say where it's coming from,
- 9:07who owns it, You respect why it's deal. You cannot disrespect me,
- 9:16and then by using my data you cannot get it both ways. If I
- 9:22have what you don't have, if I have what you need that you can't
- 9:26have, you need to come to me, come to the front door with
- 9:33respect and dignity and negotiations, and let's have a deal, respectful deal.
- 9:48The why west of the AIH and the digital age so to help humanity and
- 10:00will not bring the best out of humanity if it's all about stealing by tricks.
- 10:09Stealing by tricks is using someone else's data or data or content without due
- 10:20acknowledgement or in disrespect of intellectual property rights, or without appreciating the owner of
- 10:33that data. You can know own what it didn't make. Because I post
- 10:41my writings on my art or my creativity on my music on your platform doesn't
- 10:48give you the right to that music or art beyond me posting it there and
- 10:54the limited rights right of assets of access they have to it. Gonna have
- 11:00to write an authorship or makership because you didn't make it, or creatorship because
- 11:07you didn't create it. So if you're regenerating content that's already made, you
- 11:16should know you didn't create the content. The word generative in itself means it's
- 11:24generating something that's already there. Unless it'll be creating, it'll be creating content,
- 11:33not generating content. It will be creative AI. My generative AI.
- 11:41The generative AI means is generating content that's already there. Creative AI means is
- 11:46creating something that is not there. Creativity and generativity are two different words.
- 12:01Creativity it's original, authentic, and organic. Generative it's inauthentic, not in
- 12:11original, and a copy of something that already exists. So generative AI it's
- 12:20not different from data copying AI or data imitation AI. So the generative AI
- 12:31needs to use something that's already naturally or digitally or creatively or authentically or organically
- 12:37or originally already there to generate something that's from it. You need a voice
- 12:45to generate the voice, you need something to create something, and if that
- 12:54thing is not there, that thing will not be created, that copy of
- 12:58it will be created. You need sperm and egg to generate a baby in
- 13:07that generative sense, so you need a mom and dad to give birth to
- 13:11a child, and that child has the DNA of the mom and dad.
- 13:18So therefore, generative AI it's copying something that already exists. We must be
- 13:28willing to make this very clear. You're not inventing anything. You are reinventing
- 13:37something. You're not creating anything. You're recreating something. You're not engineering anything.
- 13:52You're re engineering something they're not establishing anything. You are re establishing something,
- 14:00and you are not making anything. You are remaking something. That prefix
- 14:07re are she be attached to a generative as regenerate would be a stretch generate
- 14:24in the servement's aids copying from something. You can use data that is in
- 14:31the cloud. You can use the data in the search engines. You can
- 14:37use the data or the data start somewhere, serve somewhere on the server.
- 14:41That data almost exists, that silicon valley sells or manipolts for the good of
- 14:54society. That's the best I can put it. But we must learn to
- 15:03give credit where it's deal. The ethics of data of a IDEAA management.
- 15:13An AIDEAA usage should not take away from the creator, the maker, the
- 15:22producer, the owner of that content or data. If there's money to be
- 15:33made, the owner of the data should get a piece of it. Don't
- 15:39you think the only other data should get the most share of it. Don't
- 15:43you think? Couse without a data, that thing is not made. If
- 15:50he used a book to get a movie, right, you cannot forget the
- 16:02author, the writer, or the producer or the publisher. So always channel
- 16:11events that I cannot forget. That makes your worked about tentic if the source
- 16:18is stated unrespected. The usage of data, we should be very careful.
- 16:36We should be careful with data colonization. N me's say it again. We
- 16:44should be careful with data colonization, and we should be careful with data neil
- 16:52colonization. We should promote data capital when when where everybody benefits, or when
- 17:07everybody benefits. We should not click create data plantations. We should not create
- 17:18data slaves. Should be careful with that. Because the fear is that history
- 17:29is to preening itself. We should not let history repeat itself. The guard
- 17:36between the rich and the poor is so wide that we don't want to bring
- 17:41them into the digital space. In the physical world. The physical world is
- 17:48unfair. Those who owned the farms in most in most developing countries are the
- 17:56poorest. H African own of Africans on the diamond, the goal, the
- 18:07timber, the box side or the natural resources, but they are poor in
- 18:15the data sense. Africa owns the data, but they are poor in the
- 18:26digital In the digital sense, they have all the content, but they are
- 18:33poor. We should not let this happen. In the age and the digit
- 18:40and the digital age, Please remember. Prevent data colonialism. Prevent data neo
- 18:49colonialization. Prevent data expectations m HM. Prevent data slavery. Prevent data sweatshops.
- 19:11Prevent data imperialism. Prevent data discrimination. Prevent data racism. Prevent data
- 19:26sexism. Prevent data bigotry. Prevent data nepotism. Prevent data cruelty. Prevent
- 19:41data in humanity. Prevent data walls. Prevent data domination. Prevent data corruption.
- 20:08Prevent data immorality. Prevent data criminalization. Prevent the misuse of data.
- 20:27Prevent data trafficking. Prevent data weaponization. Do not make data to be the
- 20:41weapons of master destruction. You must remember others. Humans are kin to keep
- 20:53new systems and just transfer all practices into new systems. So at the end
- 21:02of the day, they don't create new systems, they just apply new stuff
- 21:11to all repugnant systems. We should be very careful. We should be careful
- 21:21with data injustices, data inequality, data iniquity, data on fairness. We
- 21:34should be careful with data demonization, data demonization, data dehumanization. There are
- 21:48disinformation that are propaganda. Should be careful. All those things dad are mis
- 21:56education that are misinformation should be careful about this because of world gonna be data
- 22:06driven and all this data or data gonna be input into the AI, This
- 22:18data gonna be inputed into the AI, and the output might not go work.
- 22:26Humanity wants the input should reflect the output. You cannot plant apples and
- 22:37expect oranges, and when you plant rotten apples, don't expect something different.
- 22:52Which must be careful with data that's not howerful to the human planet, human
- 23:03ecology. We should be careful with data that doesn't make the world a better
- 23:08place, that make us worse. To be able to purify our souls,
- 23:18our minds, our intelligence, our humanity. To have good data safe there,
- 23:27human data moral there, ethical dare law abiding, the compassionate data and
- 23:41pathetic data intelligent positive causality. There. We should be mindful because the world
- 23:53of our kids and the future going to be data driven. If the data
- 24:00should be good, there is money to be made. There's always money to
- 24:07be made and whatever humans do, so making money is not an issue because
- 24:15there is money to make. People make money doing good people make money doing
- 24:19ever. People make money doing bad things. People make money doing cruel things,
- 24:26people make money doing inhumane things. People make money by slavery. People
- 24:34make money by colonization, people make money by killing, by meming. Humans
- 24:45will make money by trafficking true criminality. So there's always money to be made
- 24:52in whatever humans do. Because money is an incentive, Money motivates, money
- 25:03is surprised. At the end of the day, we can still make that
- 25:08money and make this world a better place. It's not a trade off.
- 25:17You can be wealthy and healthy at the same time. Wealth and health is
- 25:25synonymous arrogance and ignorance. Synonymous arrogance and ignorance is too, is too naziicism
- 25:42as wealth and health is to humans wealth and health arrogance and nacissism, or
- 25:57arrogance and ignorance by the confliction. Because this conflation we end up in the
- 26:08data, in the AI and in the New world. Remember these five things
- 26:14ignorance, arrogance, nacissism, wealth health. As a choice. If arrogance,
- 26:26nacissism, and ignorance laid who create negative AI negative causality, AI weth
- 26:36a world there is more crew using AI and more hateful using AI. So
- 26:48so very careful the issues that A lour money. I say it again and
- 26:55again, because humans will make money no matter what it's good to make money,
- 27:03it's good to have wealth in what you do. But on money and
- 27:07wealth should be healthy. She creately healthy, sustainable, positive causality, and
- 27:17positive humanitarian or futuristic society. And that is that what it's all about.
- 27:27When we think about the future or future generations to come, it's passing on
- 27:34good values. Good values. We can do the same way AI. The
- 27:44ethics behind AI or generative AI, or the ectics behind the data that's been
- 27:53collected. That data collected. She reflects what the war wants, not what
- 28:03a particular country wants, not what a particular race of people want, or
- 28:07not what a particular geopolitical blocks or block wants. Know what a particular ideology,
- 28:15a particular religion wants, not what the particular political party wants. Know
- 28:25what a particular school, a particular thing, tank of school or thoughts wants.
- 28:33What know what a particular business, a particular capital wants, but what
- 28:41will help humanity and the future generations. What we do today shouldn't be a
- 28:48burdon to the future generations. And remember, we are moving into the data
- 28:55civilization AI data civilization, and as we edge towards that data civilization, we
- 29:04should start thinking about respecting people on content. We should reward them and give
- 29:12their copyright. Why it's still and we should always remember that generative AI or
- 29:19generative intelligence is not creative AI. It's not creative intelligence. It's copied intelligence.
- 29:29And because we are copying these things, which we're responsible, which you
- 29:34have expectations, responsibility, obligations, commitment, an interest in what we invest
- 29:49in should be for the future, and we should be careful not to make
- 29:57Silicon Valley. She become to become the new source of laziness, entitlement and
- 30:04victim hurt. Well, they are lazy to create, we'll kick the copy
- 30:11and they become entitled to it and they become the victim. If this happened,
- 30:18she managed to a crumble. The future will no be better because if
- 30:26you have this entitled and lazy or privilege type victim of humans designing the world.
- 30:38She very careful that world because the world is made up of heart working,
- 30:45striving, struggling individuals. That's how panniered a new war. It was
- 30:53partnered by people who work hard, seek to discover inventive, creative a pivolca
- 31:03endeavor can sacrifice who are real people. The reward should be created by real
- 31:12people. And if ARTI visualization should take home, it should be well made
- 31:21by real people, real humans, with real intelligence, with real responsibility,
- 31:30expectations, cognit men, obligation and investment an interest. She designed, they
- 31:40a out the future, and she used the data that they collect with obligation
- 31:48to the law, to good conscience and morality and moral clarity. More erectitate.
- 32:00We always think about that the ethics of data shall soon apply to the
- 32:10ethics of AI. Remember that that everybody be wealthy in the system that creates
- 32:24the innov it that in fact the asprius that dreams stifle not capital. The
- 32:36AI needs capital to developed. The data collected needs capital. Whish you reward
- 32:43hard work, which you reward, innovation, which you reward. Ingenuity was
- 32:52your reward. Creativity WI yourard makeers and the engineers that make the worldly better
- 33:00place. But we should know those who seek to destroy it, or those
- 33:06who said the manipulate the data or generative intelligences to do us harm, to
- 33:14do the war harm, to destroy the ecosystem, or to destroy the universe,
- 33:22or to destroy the future of younger generations. We should not let that
- 33:27happen. The digital ward and the data driven war should learn from the mistakes
- 33:35of the Old War and an old world that was unjust on fire, that
- 33:42was discriminatory with racism, sexism, and bakotry. We used the new war,
- 33:50the data and AI new War, to change the practices of all.
- 33:57She's very careful not to transplant or to infuse, and in fact, the
- 34:07data of the new world, of the generative AI, of the new world
- 34:14with the ills, with the crueties, in humanities and the prognancies or the
- 34:22old world. The greater new world gonna be led by data and antificial intelligence,
- 34:34and that data and antificial intelligence shall be purified from the saints and crueties
- 34:43or immorality or repugnances of the Old war. The new testament of the Old
- 34:52War is the data, digitarized driven artificial intelligence or with a new ways,
- 35:07the new done. It must first respect those who create content, use them
- 35:15as a pioneer to the new world. And if the middleman at the don't
- 35:23make the middle men to be the inventors and the creator, they don't invent
- 35:27anything. Silicon Valley hardly invent anything. They use data. The blessings of
- 35:36Silicon Valley comes from capital capitalism, We should thank capitalism for Silicon Valley.
- 35:44That people invest capital to make great ideas meaningful in the capital to put good
- 35:52ideas to use. The wall is invented by capital. So Silicon Valley,
- 35:59Silicon Valley becase of capital and they should respect that. And when the capital
- 36:07is giving to that for the sake of the great than you are, they
- 36:12should be mindful with the data, mindful of the input, because the input
- 36:20and the data will determine the output. It takes years to fix a thing,
- 36:27it takes seconds to destroy it. Remember that. I remember that whatever
- 36:32we're building today, the AI world that were envisage, we're not going to
- 36:40be the humans that are gonna live in it. Those those who are gonna
- 36:45live in that world that we're thinking and creating should be generations on board.
- 36:51We can't then make it better for them, not worse. Remember that H
- 37:00A I. Philosopher Prince Prince Israel Zir