★ German Amazon Bestseller
“It sparks a variety of discussions about AI, including relationships, careers, politics, and ethics!”
13 Questions We Need to Ask Now to Guide AI in the Right Direction!

“How intelligent is AI really?”
“How should we view AI’s creation?”
“How should humans prove themselves in front of AI?”

AI, which once felt distant, is now being experienced by everyone in the palm of their hands.
We now stand at the threshold of another evolution.
But no one can be sure what the future will hold once we cross that threshold.
That is why we desperately need a ‘fundamental question’ that will give us the right direction.
"Our Questions in the AI ​​Era" is a story about 13 questions that are essential for us to lead AI.
Where in business, human relationships, and political economy are the risks and side effects of AI lurking? Where will we face ethical dilemmas? What clear answers can we have when dealing with changes in the labor market, fake news, and autonomous driving? Everything AI does depends on how we approach it.
It is humans who create both utopia and dystopian futures.
If we dream of a collaborative evolution between humans and AI, what must we understand and what questions must we ask now? A must-read for anyone contemplating the risks and opportunities of AI! This book will gladly serve as a milestone.

With so many possibilities before us, this question always lingers.
“What if?” In the world of AI, a general-purpose technology used for any purpose, the question “What if?” will become an algorithmic request directed at humans themselves.
What if this technology truly brings about the transformational opportunity we've been hoping for for years? What if we automate not just labor but also wisdom? What if we create AI that understands itself better than we understand ourselves?
--- From the "Prologue"

Tools like ChatGPT can drive remarkable growth even in sectors that have been stagnant for decades, leading to increased productivity across society.
At the same time, we must answer profound questions: What does it mean to be human in an age where AI systems are far more capable than we realize? How can humans and machines collaborate to open doors of opportunity for all individuals, groups, and social strata? Can we be confident that humans will continue to be in control of when, where, and how AI systems are used?
--- From "The Age of AI Magic: What Should We Understand First?"

AI chose a strategy that didn't fit the definition of distribution, but instead developed creative ideas that encompassed a wide range of political ideologies. Instead of being guided by ideology, AI discovered a complex mechanism that equally distributed income while simultaneously punishing those who didn't share at all.
After the game, the final voting results surprisingly showed that the complex solution proposed by the AI ​​was the most popular among the subjects.
Democratic AI has provided evidence that it can optimally coordinate people's diverse needs and preferences, aligning policy innovation with people's desired values.
What will new AI tools and systems promote more in the future? Labor or capital?
--- From "AI and Economic Growth: Is AI a Proxy for Capitalism?"

If AI can be a caring and knowledgeable companion, it can also be a trustworthy source of information.
A study that re-evaluated 121 experiments on human-machine interaction found that AI was just as good at propaganda as humans.
In other words, people trust AI as much as they trust human intelligence.
In particular, it was very difficult to distinguish between the results of human propaganda and machine propaganda based on factors such as the recipient's perception, attitude, and actual behavior.
If we apply this to fake information, humans will view large-scale language models as "legitimate transmitters of trustworthy information."
Even if the answer the language model gives is wrong.
--- From "Deepfakes and Disinformation: Who is Manipulating?"

Researchers at Brigham Young University in Utah have discovered how well large-scale language models can reflect subtle demographic characteristics.
Language models faithfully reflect human characteristics even with distortions and can simulate real human opinions for research purposes.
The researchers called this “algorithmic fidelity.”
This is an enlightenment that goes far beyond science.
The researchers said.
“If generative AI can simulate the entire population identically, we no longer need to ask real people to find out what specific social classes, voters, consumers, etc. want.”
--- From "Democracy or Dystopia: How Will Politics Change?"

Is it truly crucial for AI to mimic and surpass human intelligence? Isn't it perfectly appropriate and rational for us humans to leverage new technologies to expand our capabilities, enabling economic growth and social advancement? By setting these goals, we can prove that humans are what they claim to be.
That is, we humans see ourselves as rational, strategic, long-term thinkers, capable of seeing the big picture, developing a sense of self and others' needs, and constantly looking to make things better.
If someone says, “Oh, but humans weren’t like that even before AI appeared,” they are right.
But that is not an argument.

--- From "Questions about Consciousness: How Should Humans Prove Themselves?"

Imagine a future where large-scale language models drive every communication, every activity, every process in our lives.
Imagine them learning from our data and continuously improving without us having to tell them to.
If that image can be drawn, it means that the technology has tremendous potential.
Perhaps it also holds the potential to 'burn down' all human life.
One can understand why the scientists who joined the Manhattan Project sometimes felt tremendous fear.
Let's think again.
Is this a realistic assessment? We don't know yet.
All we know now is that the Manhattan Project eventually took place.
The researchers, the Franklin Roosevelt administration, and the governments of Winston Churchill in Britain and William Lyon Mackenzie King in Canada who supported them, continued the project and eventually tested the bomb.
This is in line with Oppenheimer's words: "If you find something interesting from a technical standpoint, just do it."

--- From "To the Next Universe: Two Scenarios, What Will We Choose?"