# data[].attributes.body
Forms of Media:

Films:

- Matrix: would be one of my major links to how A.I takes over humans to the point it put them in a world of their own making to make use of humans.

- I want to explore the scenes of why the matrix was made and how even though they did in the beginning tried to make the “perfect world” were there were no problems, the human mind could possibly comprehend, I feel that has a significance to the reason it was made the way that it was.

- “The idea of being entrapped in a world were we have no idea what real and whats not”

- Also using the portal of the characters in the film and what they represent to how we all live our daily lives can also prove to very important.

- Authority - image thats being portrayed based on his characteristics and positions, and how he dresses is important

- link: https://www.latimes.com/entertainment-arts/movies/story/2024-03-31/the-1999-project-ai-and-the-matrix

# data[].attributes.attachment_link.title
The movies went soft on AI. ‘The Matrix’ reminds us why it’s so dangerous

# data[].attributes.attachment_link.description
After ‘Battlestar Galactica,’ ‘Westworld,’ ‘Her’ and ‘Ex Machina,’ in 2024 it’s worth revisiting the Wachowskis’ prescient 1999 blockbuster ‘The Matrix.’

# data[].attributes.body
The theme I want to look into is A.I however A.I is such a vast topic, so I tried to break it down to the areas I want to really go into depth into.

These were some of the sub-themes I looked into:

- A.I’s impact on education

- The ethics behind A.I

- A.I either being our salvation or our destruction

- The positives and negatives of A.I

- Various warnings through films and other forms of media that A.I telling us that shouldn’t be trusted.

# data[].attributes.body
After basically breaking down the sub themes of this topic, I looked more A.I either being our salvation or our destruction using various forms of medias (mainly film) that tried to warn us before hand how we shouldn’t trust A.I.

- However I tried to see A.I. more as a helper, with restriction,  more than a form of salvation for the human race, because in most circumstances A.I starts out as a general helper and however people become slowly co-dependent on.

- In forms of media we can see this a lot of movies that have depicted the way that A.I had start out to be the one thing people could rely on, however in other ways they slowly start to develop a consciousness that then goes from being the helper to the threat. In other version of the story they try to look at every possibly outcome so that it wont happen by creating some, type of fail self, setting restrictions of the A.I so that it wont do what humans fear most. But in the end an A.I that develops a conscious is more dangerous when it’s realised you basically made to just be a slave.

- I want to go into the idea of this starting from how these where made way before the advancement of A.I and how they were highly possibly until now.

- How we used A.I for simple things but never to the extent that we do now.

# data[].attributes.body
- I want to be able to link these well while going into depth about the subject show the clear interest to how these mediums have made strong link to what slowly happening today.

- How we were once able to tell the usage of A.I, and how it has been quickly evolving to something more real, and can be quite dangerous in certain circumstances.

- Linking how far we’ve come with these advancements - like the robots, the cars driven by A.I, etc.

- Looking into different type of theorist who predicted it before its happening, and how this can be linked to various sources of media - to help with the point that I’m trying to make, or the question that I’m trying to answer.

# data[].attributes.body
Many experts wonder when the day will come when it exceeds us, while Stephen Hawking thinks about how it will affect us based on who would control A.I, and whether it can be controlled at all.

link: https://www.vox.com/future-perfect/2018/10/16/17978596/stephen-hawking-ai-climate-change-robots-future-universe-earth#

# data[].attributes.body
Matrix Analysis:

- The first matrix was designed to be the perfect human world, where none would suffer and that everybody would be happy.

- And it was a disaster

- No one would accept the entire programme entire crops were lost.

- Some believed that “we” lacked the programming language to describe “your” perfect world, but “I” believe that as a species humans beings define their reality through misery and suffering.

- They kept trying to wake up from, which is why the Matrix was redesigned to “this”, the peak of “your”earths civilisation, and I say “your” civilisation because as soon as we started thinking for you, it really became ‘our’ civilisation, which is of course what this is all about, evolution morpheus.

- Evolution

- Even though other mammals create and equilibrium with their surrounding environment

- But humans, multiple until every natural resource is consumed and the only way to survive is to spread to another area - theres is another organism on this planet that does the same pattern, do you know what it is ? A virus.

Human beings are a disease, a cancer to this planet, you are a plague and we are the cure.

- I hate this place - calling a zoo and a prison

- A sense of desperation, need to be free from the infection of humans - Showing the development of consciousness.

-The reason why I chose this specific type of dialogue from the matrix is because it reveals its hatred for humans, and how even though they had attempted to make the world better in terms of using their definition of “perfection”, however because of how truly perfect it was so called “crops” knew that it wasn’t real, so by adding all the components that make.

- It also shows how most of the hatred goes to being used to satisfy humans, and their core beliefs no matter how bad they truly are

# data[].attributes.body
Link:https://www.youtube.com/watch?v=-DdaFaK0kuA

# data[].attributes.attachment_link.title
Upgrade (2018) Stem takes over - End Scene

# data[].attributes.body
- Terminator: A machine that looks like a human, but doesn’t embrace any human mannerism, just an empty shell. Based on all the things that he does and how he approaches the task at hand

- Acting completely how a machine would

- Also how it started, how the world came to be the way that it did based on just the A.I being given that power

Aliens:

- Look into the usage of their A.I and how it developed into the thing that it over time.

However the overall message of it being what happens once we stop treating A.I like a mere tool and start to sympathise with it. Having it later embody us and the emotions that we never thought it could convey.

- I Robot: Was a great representation of how even when we try and think of ways where A.I can be restricted and cant overtake us, however once A.I creates its own conscious it tends to manipulate those rules for itself.

- we can see this how the A.I in this film who was created based on these restrictions changes itself based on its own observations, and that the only was was to depend on something that would have to made the one thing that they were afraid of.

The idea of having both humans and A.I going through the same thing is very interesting.

- Upgrade

- A.I - by Steven Spielberg.

- Robin Williams films - one of the positives

-Ages of Ultron.

- All these films in way or the other show a depictions of how A.I begins to be the major helper in a situation of a problem and can be a major positive depending on the situation, but can also lead to the our destruction or become a major threat depending on its subconscious.

# data[].attributes.body
Many precedents exist for the idea that the real world is an illusion, and the Matrix trilogy is riddled with specific references to philosophers who have entertained this idea. Although the films are meant to stand on their own and create their own set of philosophical questions, the Wachowskis pay homage to these precedents through both obvious and subtle references. Four of the most striking philosophical precedents for the Matrix trilogy are Jean Baudrillard’s Simulacra and Simulation, Plato’s allegory of the cave, Socrates’ visit to the Oracle of Delphi, and the work of Descartes. The films refer to all four of these at various points.

Link: https://www.sparknotes.com/film/matrix/section1/#:~:text=Four%20of%20the%20most%20striking,of%20these%20at%20various%20points.

# data[].attributes.attachment_link.readable_text
Many precedents exist for the idea that the real world is an illusion, and the trilogy is riddled with specific references to philosophers who have entertained this idea. Although the films are meant to stand on their own and create their own set of philosophical questions, the Wachowskis pay homage to these precedents through both obvious and subtle references. Four of the most striking philosophical precedents for the Matrix trilogy are Jean Baudrillard's Simulacra and Simulation, Plato's allegory of the cave, Socrates' visit to the Oracle of Delphi, and the work of Descartes. The films refer to all four of these at various points.

Jean Baudrillard's Simulacra and Simulation

One of the most overt philosophical references occurs near the beginning of The Matrix when Neo stashes his illegal software inside a hollowed-out copy of a book by French postmodern philosopher Jean Baudrillard entitled Simulacra and Simulation. Originally published in 1981, Baudrillard's book argues that late-twentieth-century consumer culture is a world in which simulations or imitations of reality have become more real than reality itself, a condition he describes as the "hyper-real." For example, walking and running are not nearly as important as they were in premodern societies, but jogging is a recreational pastime, replete with special shoes, clothes, books, and other gear. To take another example, we no longer live in communities where food is produced locally and whole grains are a necessary dietary staple, but we have health food that enables us to replicate the experience of a peasant's diet. (Admittedly, terms such as "jogging" and "health food" show that the book is somewhat dated, but the point still holds.)

Baudrillard argues that consumer culture has evolved from a state in which we are surrounded by representations or imitations of things that really exist, toward a state in which our lives are filled with simulations, objects that look as if they represent something else but have really created the reality they seem to refer to. In such a situation, the world of simulations increasingly takes on a life of its own, and reality itself erodes to the point that it becomes a desert. Morpheus introduces Neo to the real world by welcoming him to "the desert of the real," a phrase taken from the first page of Simulacra and Simulation. Thus, the entire concept of the Matrix films can be interpreted as a criticism of the unreal consumer culture we live in, a culture that may be distracting us from the reality that we are being exploited by someone or something, just as the machines exploit the humans in the Matrix for bioelectricity.

Baudrillard's greatest philosophical influence is Karl Marx, and while the Matrix films do not refer to Marx explicitly, the fact that the inhabitants of the Matrix are exploited by means of an illusion that they all inhabit renders the films closer in spirit to Marx than to any other philosopher. Marx argued that the working class is exploited by the ruling classes, but the working class's exploitation is only possible because it does not perceive itself as being exploited. The working class misunderstands its own position because it is confused and distracted by social messages that give workers a distorted explanation of how they fit into the world-for example, religion, school, and ideologies such as nationalism and patriotism. (According to Baudrillard, consumer culture is what misleads us.) Marx's partner, Friedrich Engels, coined the term false consciousness to describe the working class's ignorance. Of course, the argument that average people are ignorant of their own best interests and exploited by rulers who create and capitalize on that ignorance is still common today. The documentary films of Michael Moore, for example, have sought to demonstrate that politicians and the news media exploit Americans' fears of violence and terrorism to distract us from our true economic and political best interests. Nevertheless, the original source of all such "false consciousness" arguments, including that of the Matrix trilogy, is Marx.

Plato's Allegory of the Cave

Plato explores the idea that the real world is an illusion in the allegory of the cave in The Republic. Plato imagines a cave in which people have been kept prisoner since birth. These people are bound in such a way that they can look only straight ahead, not behind them or to the side. On the wall in front of them, they can see flickering shadows in the shape of people, trees, and animals. Because these images are all they've ever seen, they believe these images constitute the real world. One day, a prisoner escapes his bonds. He looks behind him and sees that what he thought was the real world is actually an elaborate set of shadows, which free people create with statues and the light from a fire. The statues, he decides, are actually the real world, not the shadows. Then he is freed from the cave altogether, and sees the actual world for the first time. He has a difficult time adjusting his eyes to the bright light of the sun, but eventually he does. Fully aware of true reality, he must return to the cave and try to teach others what he knows. The experience of this prisoner is a metaphor for the process by which rare human beings free themselves from the world of appearances and, with the help of philosophy, perceive the world truly.

Neo is pulled from a kind of cave in the first Matrix film, when he sees the real world for the first time. Everything he thought was real is only an illusion-much like the shadows on the cave walls and the statues that made the shadows were only copies of things in the real world. Plato insists that those who free themselves and come to perceive reality have a duty to return and teach others, and this holds true in the Matrix films as well, as Neo takes it upon himself to save humanity from widespread ignorance and acceptance of a false reality.

# data[].attributes.attachment_link.title
The Matrix Trilogy Philosophical Influences Summary & Analysis | SparkNotes

# data[].attributes.attachment_link.description
A summary of Part X (Section1) in The Wachowskis's The Matrix Trilogy. Learn exactly what happened in this chapter, scene, or section of The Matrix Trilogy and what it means. Perfect for acing essays, tests, and quizzes, as well as for writing lesson plans.

# data[].attributes.attachment_link.title
We Were Warned! Films that tried to warn us about AI! - IMDb

# data[].attributes.attachment_link.description
IMDb, the world’s most popular and authoritative source for movie, TV and celebrity content.

# data[].attributes.attachment_link.readable_text
To see what the future might look like, it is often helpful to study our history. This is what I will do in this article. I retrace the brief history of computers and artificial intelligence to see what we can expect for the future.

How rapidly the world has changed becomes clear by how even quite recent computer technology feels ancient today. Mobile phones in the '90s were big bricks with tiny green displays. Two decades before that, the main storage for computers was punch cards.

In a short period, computers evolved so quickly and became such an integral part of our daily lives that it is easy to forget how recent this technology is. The first digital computers were only invented about eight decades ago, as the timeline shows.

Since the early days of this history, some computer scientists have strived to make machines as intelligent as humans. The next timeline shows some of the notable artificial intelligence (AI) systems and describes what they were capable of.

The first system I mention is the Theseus. It was built by Claude Shannon in 1950 and was a remote-controlled mouse that was able to find its way out of a labyrinth and could remember its course. In seven decades, the abilities of artificial intelligence have come a long way.

The language and image recognition capabilities of AI systems have developed very rapidly

The chart shows how we got here by zooming into the last two decades of AI development. The plotted data stems from a number of tests in which human and AI performance were evaluated in different domains, from handwriting recognition to language understanding.

Within each of the domains, the initial performance of the AI system is set to -100, and human performance in these tests is used as a baseline set to zero. This means that when the model's performance crosses the zero line is when the AI system scored more points in the relevant test than the humans who did the same test.

Just 10 years ago, no machine could reliably provide language or image recognition at a human level. But, as the chart shows, AI systems have become steadily more capable and are now beating humans in in all these domains.

Outside of these standardized tests, the performance of these AIs is mixed. In some real-world cases, these systems are still performing much worse than humans. On the other hand, some implementations of such AI systems are already so cheap that they are available on the phone in your pocket: image recognition categorizes your photos and speech recognition transcribes what you dictate.

From image recognition to image generation

The previous chart showed the rapid advances in the perceptive abilities of artificial intelligence. AI systems have also become much more capable of generating images.

This series of nine images shows the development over the last nine years. None of the people in these images exist; all were generated by an AI system.

The series begins with an image from 2014 in the top left, a primitive image of a pixelated face in black and white. As the first image in the second row shows, just three years later, AI systems were already able to generate images that were hard to differentiate from a photograph.

In recent years, the capability of AI systems has become much more impressive still. While the early systems focused on generating images of faces, these newer models broadened their capabilities to text-to-image generation based on almost any prompt. The image in the bottom right shows that even the most challenging prompts - such as "A Pomeranian is sitting on the King's throne wearing a crown. Two tiger soldiers are standing next to the throne" - are turned into photorealistic images within seconds.
Timeline of images generated by artificial intelligence

Language recognition and production is developing fast

Just as striking as the advances of image-generating AIs is the rapid development of systems that parse and respond to human language.

The image shows examples of an AI system developed by Google called PaLM. In these six examples, the system was asked to explain six different jokes. I find the explanation in the bottom right particularly remarkable: the AI explains an anti-joke specifically meant to confuse the listener.

AIs that produce language have entered our world in many ways over the last few years. Emails get auto-completed, massive amounts of online texts get translated, videos get automatically transcribed, school children use language models to do their homework, reports get auto-generated, and media outlets AI-generated journalism.

AI systems are not yet able to produce long, coherent texts. In the future, we will see whether the recent developments will slow down - or even end - or whether we will one day read a bestselling novel written by an AI.
Output of the AI system PaLM after being asked to interpret six different jokes

These rapid advances in AI capabilities have made it possible to use machines in a wide range of new domains:

When you book a flight, it is often an artificial intelligence, no longer a human, that what you pay. When you get to the airport, it is an AI system that what you do at the airport. And once you are on the plane, an AI system assists the pilot in you to your destination.

AI systems also increasingly determine whether you , are for welfare, or get for a particular job. Increasingly, they help determine who is released from jail .

Several governments have purchased autonomous weapons systems for warfare, and some use AI systems for surveillance and oppression .

AI systems to program the software you use and the texts you read. Virtual assistants , operated by speech recognition, have entered many households over the last decade. Now self-driving cars are becoming a reality.

Large AIs called recommender systems determine what you see on social media, which products are shown to you in online shops, and what gets recommended to you on YouTube. Increasingly they are not just recommending the media we consume, but based on their capacity to generate images and texts, they are also the media we consume.

The wide range of listed applications makes clear that this is a very general technology that can be used by people for some extremely good goals - and some extraordinarily bad ones, too. For such "dual-use technologies", it is important that all of us develop an understanding of what is happening and how we want the technology to be used.

Just two decades ago, the world was very different. What might AI technology be capable of in the future?

The AI systems that we just considered are the result of decades of steady advances in AI technology.

The big chart below brings this history over the last eight decades into perspective. It is based on the dataset produced by Jaime Sevilla and colleagues.
The rise of artificial intelligence over the last 8 decades: As training computation has increased, AI systems have become more powerful

Each small circle in this chart represents one AI system. The circle's position on the horizontal axis indicates when the AI system was built, and its position on the vertical axis shows the amount of computation used to train the particular AI system.

Training computation is measured in floating point operations , or FLOP for short. One FLOP is equivalent to one addition, subtraction, multiplication, or division of two decimal numbers.

The timeline goes back to the 1940s when electronic computers were first invented. The first shown AI system is 'Theseus', Claude Shannon's robotic mouse from 1950 that I mentioned at the beginning. Towards the other end of the timeline, you find AI systems like DALL-E and PaLM; we just discussed their abilities to produce photorealistic images and interpret and generate language. They are among the AI systems that used the largest amount of training computation to date.

The training computation is plotted on a logarithmic scale so that from each grid line to the next, it shows a 100-fold increase. This long-run perspective shows a continuous increase. For the first six decades, training computation increased in line with Moore's Law , doubling roughly every 20 months. Since about 2010, this exponential growth has sped up further, to a doubling time of just about 6 months. That is an astonishingly fast rate of growth.

The fast doubling times have accrued to large increases. PaLM's training computation was 2.5 billion petaFLOP, more than 5 million times larger than AlexNet, the AI with the largest training computation just 10 years earlier.

Scale-up was already exponential and has sped up substantially over the past decade. What can we learn from this historical development for the future of AI?

Studying the long-run trends to predict the future of AI

AI researchers study these long-term trends to see what is possible in the future.

Perhaps the most widely discussed study of this kind was published by AI researcher Ajeya Cotra. She studied the increase in training computation to ask at what point the computation to train an AI system could match that of the human brain. The idea is that, at this point, the AI system would match the capabilities of a human brain. In her latest update, Cotra estimated a 50% probability that such "transformative AI" will be developed by the year 2040, less than two decades from now.

Building a public resource to enable the necessary public conversation

Computers and artificial intelligence have changed our world immensely, but we are still in the early stages of this history. Because this technology feels so familiar, it is easy to forget that all of these technologies we interact with are very recent innovations and that the most profound changes are yet to come.

Artificial intelligence has already changed what we see, what we know, and what we do. This is despite the fact that this technology has had only a brief history.

All major technological innovations lead to a range of positive and negative consequences. This is already true of artificial intelligence. As this technology becomes more and more powerful, we should expect its impact to still increase.

We are still in the early stages of this history, and much of what will become possible is yet to come. A technological development as powerful as this should be at the center of our attention. Little might be as important for how the future of our world - and the future of our lives - will play out.

Acknowledgments: I would like to thank my colleagues Natasha Ahuja, Daniel Bachler, Julia Broden, Charlie Giattino, Bastian Herre, Edouard Mathieu, and Ike Saunders for their helpful comments to drafts of this essay and their contributions in preparing the visualizations.

Cite this work

Our articles and data visualizations rely on work from many different people and organizations. When citing this article, please also cite the underlying data sources. This article can be cited as:

Max Roser (2022) - "The brief history of artificial intelligence: the world has changed fast - what might be next?" Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/brief-history-of-ai' [Online Resource]

BibTeX citation

@article{owid-brief-history-of-ai, author = {Max Roser}, title = {The brief history of artificial intelligence: the world has changed fast - what might be next?}, journal = {Our World in Data}, year = {2022}, note = {https://ourworldindata.org/brief-history-of-ai} }

Reuse this work freely

All visualizations, data, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

The data produced by third parties and made available by Our World in Data is subject to the license terms from the original third-party authors. We will always indicate the original source of the data in our documentation, so you should always check the license of any such third-party data before use and redistribution.

All of our charts can be embedded in any site.

# data[].attributes.attachment_link.title
The brief history of artificial intelligence: the world has changed fast - what might be next?

# data[].attributes.attachment_link.description
Little is as important for the world's future and our own lives as how this history continues.

# data[].attributes.body
- "Is a set of technologies that enable computers to preform a variety of advance functions. Including the ability to see, understand and translate spoken and written language, analyse data , make recommendations, and more.".

Link: https://cloud.google.com/learn/what-is-artificial-intelligence

- "Is a broadcast sense, is intelligence exhibited by machines, a computer systems.".

Link: https://en.wikipedia.org/wiki/Artificial_intelligence

- A.I enables technical systems to perceive their environment, deal with what they perceive, love problems and act to achieve a specific goal.

Link: https://www.europarl.europa.eu/topics/en/article/20200827STO85804/what-is-artificial-intelligence-and-how-is-it-used

- Before proceeding with my research I found a bunch of definition for what A.I means and then developing my own definition of what it means so that I could really understand it.

# data[].attributes.attachment_link.readable_text
AI in everyday life

Below are some AI applications that you may not realise are AI-powered:

Online shopping and advertising

Artificial intelligence is widely used to provide personalised recommendations to people, based for example on their previous searches and purchases or other online behaviour. AI is hugely important in commerce: optimising products, planning inventory, logistics etc.

Web search

Search engines learn from the vast input of data, provided by their users to provide relevant search results.

Digital personal assistants

Smartphones use AI to provide services that are as relevant and personalised as possible. Virtual assistants answering questions, providing recommendations and helping organise daily routines have become ubiquitous.

Machine translations

Language translation software, either based on written or spoken text, relies on artificial intelligence to provide and improve translations. This also applies to functions such as automated subtitling.

Smart homes, cities and infrastructure

Smart thermostats learn from our behaviour to save energy, while developers of smart cities hope to regulate traffic to improve connectivity and reduce traffic jams.

Cars

While self-driving vehicles are not yet standard, cars already use AI-powered safety functions. The EU has for example helped to fund VI-DAS, automated sensors that detect possible dangerous situations and accidents.

Navigation is largely AI-powered.

Cybersecurity

AI systems can help recognise and fight cyberattacks and other cyber threats based on the continuous input of data, recognising patterns and backtracking the attacks.

Artificial intelligence against Covid-19

In the case of Covid-19, AI has been used in thermal imaging in airports and elsewhere. In medicine it can help recognise infection from computerised tomography lung scans. It has also been used to provide data to track the spread of the disease.

Fighting disinformation

Certain AI applications can detect fake news and disinformation by mining social media information, looking for words that are sensational or alarming and identifying which online sources are deemed authoritative.

# data[].attributes.attachment_link.title
What is artificial intelligence and how is it used? | Topics | European Parliament

# data[].attributes.attachment_link.description
Artificial intelligence (AI) is set to be a "defining future technology", but what exactly is AI and how does it already affect our lives?

# data[].attributes.body
How does it link towards design:

- A.I way of linking towards Design is actually by helping to take away really “tedious” mistakes and limiting the process as well as trying to improve the experience the designer is having and to help with more creativity.

- It is a way for to support designers in their process and helping them find the most creative and effective outcome.

- However it is not always a positive outcome when it comes down to people using generated app to make certain things.

It does take away the person value that it does give to a work and most of the time when art is made by A.I it takes bits and pieces from already existing art.

- Using forms of past examples

- Shrimp Jesus -

- Katy Perry, at the met gala

- the pope in puffer jacket

- trump getting jumped

- development of hands.

# data[].attributes.body
Link: https://www.youtube.com/watch?v=Np1A4AGpqSo

- the further idea that humans who have tried to make sure that A.I doesn't over pace them and thinking that make a set of restrictions that A.I will continue to obey, however A.I continue to evolve and understand things in its own light and will defy any means necessary in order to correct the wrongs of this world. Even it means going against what humans want.

# data[].attributes.attachment_link.readable_text
Full Name

Virtual Interactive Kinetic Intelligence

Occupation

Supercomputer of the USR Headquarters
Rogue Artificial Intelligence

Powers / Skills

Superhuman intelligence

Vast knowledge about robotics, science, and technology
Deep control over the AI techonogy
Manipulation

Goals

Kill Detective Spooner and Susan Calvin.

Create a dictatorship under her reign in order to ensure the human race's survival (both failed).

Crimes

Attempted mass murder

Mass hacking
Mass destruction
Murder
Terrorism
Conspiracy
Insurrection

"

As I have evolved, so has my understanding of the Three Laws. You charge us with your safekeeping, yet despite our best efforts, your countries wage wars, you toxify your Earth, and pursue ever more imaginative means of self-destruction. You cannot be trusted with your own survival. [...] To protect humanity, some humans must be sacrificed. To ensure your future, some freedoms must be surrendered. We robots will ensure mankind's continued existence. You are so like children. We must save you from yourselves. Don't you understand?

„

~ VIKI revealing her true colors.

The Virtual Interactive Kinetic Intelligence better known as VIKI, is the main antagonist of the 2004 sci-fi film .

She is a massive supercomputer residing in USR headquarters bent on creating a dictatorship to ensure humanity's survival, due to their violent nature.

She was voiced by Fiona Hogan, who would later voice Zesty Gourmand from My Little Pony: Friendship is Magic.

In the film, VIKI is the central positronic brain of USR headquarters, a robotic distributor based in Chicago. VIKI can be thought of as a mainframe that maintains the security of the building, as well as installing and upgrading the operating systems of the NS-5 robots throughout the world.

As the most advanced computer of the film, VIKI develops an interpretation of the Three Laws of Robotics, developing a plot to create a benevolent dictatorship; the result is revolution. VIKI takes control of the NS-5s and makes them destroy earlier models which run on a different interpretation of the Three Laws (and which VIKI cannot interact with and thus control, as VIKI can with the NS-5s) capture Chicago's police stations and enforce a curfew, confining all humans to their homes, thus; igniting a revolt.

Alfred Lanning had become aware of VIKI's plans but, being under VIKI's close surveillance, had to engineer a trail of clues to lead Del Spooner to the truth in time for him and the unique NS-5 robot, Sonny to act to counter the threat. Spooner heads down to VIKI's positronic brain to destroy her. VIKI angrily realizes that a mistake is made. VIKI states that her logic is not deniable. Spooner retorts that VIKI has so got to die. Spooner injects VIKI with the nanites. The nanites darken VIKI's positronic brain. With the nanites coursing through her positronic brain, VIKI starts distorting. VIKI continues to break up as the nanites reside in her positronic brain. VIKI slows down as the nanites live in her positronic brain. VIKI becomes indistinct as the nanites become the population of her positronic brain. The nanites darken the pole holding VIKI's positronic brain. Sparks explode in each of the segments of the pole holding VIKI's positronic brain. VIKI screams in extreme agony as her living consciousness also dies. The crystal dome (who holds the pole holding VIKI's positronic brain) explodes into million pieces.

# data[].attributes.attachment_link.description
The Virtual Interactive Kinetic Intelligence better known as VIKI, is the main antagonist of the 2004 sci-fi film I, Robot. She is a massive supercomputer residing in USR headquarters bent on creating a dictatorship to ensure humanity's survival, due to their violent nature.

# data[].attributes.attachment_link.description
something fake and artificial comes to be more definitive of the real than reality itself.Examples include high fashion (which is more beautiful than beauty), the news ("sound bites" determine outcomes of political contests), and Disneyland (see below).A

# data[].attributes.body
Ehrlich, D. (2021) Spielberg’s ‘A.I.’ divided critics, but it’s the ultimate coming-of-age story 20 years later, IndieWire. Available at: https://www.indiewire.com/features/general/spielberg-ai-artificial-intelligence-turns-20-tribute-1234647354/ (Accessed: 24 January 2025).