AI 2041 Buchzusammenfassung - das Wichtigste aus AI 2041

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Zusammenfassung von AI 2041

Name: AI 2041
Rating: 4.2 (514 reviews)
Author: Kai-Fu Lee and Chen Qiufan

Kai-Fu Lee and Chen Qiufan

Ten Visions for Our Future

4.2 (514 Bewertungen)

30 Min.

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New Work Mensch-Maschine-Interaktion Künstliche Intelligenz Digitale Transformation

Inhaltsübersicht

AI 2041
in 9 Kernaussagen verstehen

Audio & Text in der Blinkist App

Kernaussage 1 von 9

What’s in it for me? Learn about how AI will transform our lives in the next two decades.

Often it feels like the modern world is already a kind of sci-fi fantasy. Who’d have thought that one day you could ask household gadgets to play you a song, or that you’d have a computer in your pocket to remind you when it’s time to go for a walk?

But this is just the beginning. The development of deep learning and natural language acquisition will turbo-charge AI innovations. Autonomous cars and weapons are already in development. And deepfake videos and virtual reality games are becoming so convincing that it’s hard to distinguish fiction from fact.

Each of the following blinks begins with a short, fictional story about what the world could look like in 2041 – that is, after 20 more years of AI development – followed by an analysis of the impact these developments could have on society. Together, they’ll help you prepare for the AI revolution.

In these blinks, you’ll learn

why we still don’t have completely self-driving cars;
how social media companies are using your data; and
why deepfakes are so dangerous.

AI can help you optimize your life – but it can also weaponize your data.

In Mumbai, in 2041, Nayana’s family dramatically lowered their insurance premiums by signing up with a new insurance company called Ganesh Insurance. The catch? They had to agree to share all their personal data with the company.

Ganesh instructed the family to use a certain set of apps for everything from investing to finding the best supermarket deals, and over the next few weeks, their phones were constantly pinging with recommendations. The apps told them when to drink water, instructed her grandfather to drive more slowly, and nagged her dad so much about his smoking that he eventually quit. With every healthy decision they made, their insurance premiums fell. It seemed like a win-win for everyone.

But when Nayana fell in love with a man who lived in a less-wealthy neighborhood, the family’s premiums soared. Somehow, the AI had inferred that he was of a different social status, and interpreted that as a health risk to the family.

The key message here is: AI can help you optimize your life – but it can also weaponize your data.

Nayana’s story provides a chilling insight into how AI can reproduce the discrimination already present in society. One of the most significant AI developments in the last decade has been deep learning. Deep learning allows computers to make predictions, classify data, and recognize patterns. Deep learning is the technology Facebook uses to generate personalized recommendations and maximize the time you spend on its network. By analyzing every click you make and comparing your data to the millions of others in their system, the platform is able to accurately predict what will engage you.

Deep learning can have enormous benefits. AI can analyze millions of data points, and make connections that would elude the human mind. But AI lacks the nuance and complexity of human thinking. It can’t draw on personal experience, abstract concepts, or common sense.

And AI is vulnerable to bias and discrimination. In Nayana’s story, the app didn’t know that her love interest was from a different “caste” and that the match would be seen as socially undesirable. But by analyzing his family’s data and tracking where he lived, it still suggested that the match would be a “threat” to the health of Nayana’s family. Deep learning will only grow more prevalent and powerful in the years to come. The question of how to make it beneficial to society as a whole will be one of our most urgent preoccupations in the near future.

By 2041, deepfakes will become so convincing that it will be almost impossible to spot frauds.

Amaka was scared. A shady company called Ljele had asked him to use his skills as an expert programmer to create a deepfake video for them. He had to make a video of a prominent Nigerian politician admitting to scandalous behavior. If Amaka refused to do it, the company said they would release a fake video of their own, showing Amaka kissing another man in a nightclub. This could land him in prison and cause even bigger problems between him and his family.

Here’s the key message: By 2041, deepfakes will become so convincing that it will be impossible to spot frauds.

AI companions will help people learn in new ways.

Golden Sparrow’s parents were killed in a car accident when he was just a young boy, and he was sent to an orphanage. The people who looked after him there created a special friend for him, a companion that he called Atoman, after his favorite superhero. To see Atoman, Golden Sparrow needed to wear special glasses with a virtual reality interface. Soon, he wore them all the time. Atoman was a perfect companion because he knew everything about Golden Sparrow; after all, he had access to his data cloud. And a biometric ribbon attached to Golden Sparrow’s wrist provided a constant flow of real-time information about his physiological state as well as his behavior.

Atoman became Golden Sparrow’s best friend, helping him with his homework, answering his questions, and planning adventures for him. But, above all, he talked to Golden Sparrow constantly – an ideal conversation partner for an isolated young boy.

AI will revolutionize healthcare for the COVID generation

Chen Nan is part of the so-called COVID generation, which grew up in the two decades after COVID-19 broke out and devastated the world. She can’t even remember a time when people weren’t afraid of getting sick. COVID returns every year as a seasonal flu. Everyone has to wear a biosensor membrane on their wrists that transmits their physiological data in real time. Nan has a traumatic memory of her grandparents dying in the first outbreak, and she’s so fearful of getting infected herself that she never leaves her apartment.

Everything she needs is disinfected and brought to her door by delivery bots. Household bots help her keep things clean. And she works online. So there’s no reason for her to leave – except that she’s completely isolated. How can she form relationships, or fall in love, while being stuck inside?

Mixed reality will blur the line between real and fictional worlds.

The seance took place in a dark room with flickering candles and rose petals on the table. Aiko felt excited and scared. An old woman, the medium, began the ceremony. Suddenly the table started shaking violently, and the woman’s voice changed into that of a young man. Aiko knew that it was Hiroshi – her rock-star idol who had died in mysterious circumstances.

Aiko was participating in an XR – or “extra reality” – game. It allowed her to feel like she was really talking to the man she admired so much. In fact, her XR glasses allowed her to view his ghost, which appeared like an apparition when she least expected it. And the plot line was perfectly tailored to her interests, desires, and fears. The extensive questionnaire she’d filled out on her smartphone made sure of that.

Self-driving cars could revolutionize our transport systems – but getting the technology right isn’t easy.

From his cockpit in the training center, Chamal piloted his vehicle through the streets of Colombo, a city in Sri Lanka. His task? Rescue tourists from a terrorist attack at a famous temple. His vehicle was a self-driving car, but even these can be thrown off by disasters that disrupt the route they’ve been programmed to drive, so he helped guide it to safety. Weaving through plumes of smoke on the way to the temple, he collected carloads of scared, bewildered tourists, piloting them through the chaotic streets to their hotel. He could feel the tremors as gunshots went off in the distance.

The key message is this: Self-driving cars could revolutionize our transport systems – but getting the technology right isn’t easy.

Autonomous weapons pose an existential threat to humanity.

When Marc’s wife and son died in a California wildfire, he was crazy with grief. But the grief soon turned to rage. The wildfire was the result of climate change, created by a world hell-bent on technological progress at any price. Marc was a physicist, working on a model of a quantum computer. He decided to use his skills and knowledge to shut down the world that had caused him so much pain.

He created sophisticated drones that could move through the sky like a flock of birds, and directed them to assassinate business leaders and other people contributing to climate change. He also targeted major ports, creating havoc by completely disrupting the oil supply.

Automation is creating an employment crisis.

Throngs of workers protested in front of Landmark headquarters, one of the largest construction companies in the United States. The company employed thousands of people – all of whom were about to lose their jobs. The reason? AI workers could do those same jobs faster, and for no money, making the workers redundant. As part of their settlement, they were enrolled at an “employment restoration” company, which promised to retrain them and find them new jobs. But these jobs were often menial, or located far away from their families. AI had displaced them, upending their lives.

Here’s the key message: Automation is creating an employment crisis.

AI can optimize your happiness – to an extent.

Victor was a self-made millionaire, but he was bored and depressed. So when he was invited to a mysterious island in Doha, he jumped at the chance for some much-needed adventure. But when he arrived on the island, he had to allow a computer to access all his personal data, and he quickly noticed what it had been used for. His every desire and whim was satisfied before he even asked. A robot waited on him hand and foot. His favorite music played all the time, and his accommodation was decorated with all his favorite things. At first, he was delighted. But soon he was bored again, sick of being pleased all the time.

The key message is this: AI can optimize your happiness – to an extent.

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Worum geht es in AI 2041?

AI 2041 (2021) is a provocative work of speculative fiction with analysis that explores the ways in which AI will shake up our world over the next twenty years. We’re just at the beginning of the technological revolution that AI will bring. By imagining what that future will look like, we can start preparing for the changes to come.

Wer AI 2041 lesen sollte

Entrepreneurs wanting to learn about how AI will transform the world of work
Sci-fi lovers interested in exploring techno utopias and dystopias
People curious about how societies are affected by changing technologies

Über den Autor

Kai-Fu Lee is CEO of Sinovation Ventures, and former president of Google China. He’s also the author of the New York Times bestseller AI Superpowers.

Chen Qiufan is an award-winning author, and is president of the World Chinese Science Fiction Association. His previous works include Waste Tide, Future Disease, and The Algorithms for Life.

Kategorien mit AI 2041

Technologie & Zukunft Gesellschaft & Kultur

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