The Age of AI - Mika Schwan - E-Book

The Age of AI E-Book

Mika Schwan

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Beschreibung

Imagine a future where your garden is a masterpiece of care without you having to lift a finger. You step out into your green paradise, and everything is perfect – not through your hard work but through the incredible intelligence of a robot. This robot is not just a simple garden helper; it is a virtuoso gardener who intuitively understands your deepest desires and dislikes. It knows every flower that delights your heart and every blade of grass that pleases your eye. Imagine having more time for yourself while your garden transforms into a perfect oasis precisely tailored to your preferences. Sounds like a dream? Thanks to groundbreaking developments in AI technology, this scenario is within reach. Dive into a world where the boundaries between human and machine blur and the dream of every garden lover becomes a reality! But it's not just about technology and its applications. "The Age of AI - A fascinating journey through the world of Artificial Intelligence" also asks the big questions: How does AI affect our workplaces? Who is responsible for the decisions made by AI systems? How do we protect our data in an increasingly digitalized world? This book sheds light on the ethical and societal challenges associated with the advancement of AI. Whether you are a technology enthusiast, a professional, or just curious about the future, this book offers a comprehensive and understandable insight into the world of AI. It shows both the incredible possibilities and the complex challenges associated with this revolutionary technology.

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Disclaimer

The authors and publishers of this book accept no liability for any damage or loss that may arise from the use of the information and examples in this book. Each user is responsible for ensuring compliance with copyright, citation rules and other legal requirements.

It is the responsibility of each individual to familiarize themselves with the respective rules and regulations of their university, college or school and to clarify which procedures are legally permissible and which are considered plagiarism. The contents of this book are for informational and educational purposes only and should in no way be construed as direct recommendations for writing academic texts. The examples shown are merely intended to offer suggestions and illustrate the various aspects of academic writing with ChatGPT.

The authors and publishers assume no liability for the accuracy, completeness and timeliness of the information and examples contained in this book. It is the responsibility of each user to carry out additional research and to critically scrutinize the information presented in this book.

Contents

Disclaimer

Contents

Introduction

Review

Early beginnings

1950s: The hour of birth

1960s and 1970s: First successes and setbacks

1990s: The Internet and more data

Today: AI in everyday life

Definition: What is artificial intelligence?

Weak AI (Narrow AI)

Strong AI (General AI)

Super intelligent AI (Super AI)

Lighthouses of thought: wisdom and warnings from the world of AI

Current trends

Machine learning on the edge (Edge AI):

Self-monitored learning:

Transfer learning:

Next generation language models:

AI for sustainability:

Excursus: Sustainable AI

Explainability and transparency of AI:

Augmented reality and AI:

Robotics and autonomous systems:

Excursus: Multimodal systems

Data protection and AI:

Quantum computing and AI:

A look into the future

Ecological sustainability

Social impact

Economic implications

Psychological effects

AI and art

Global competition

Regulation and legislation

Human-machine interaction

Health and longevity

AI in governance

Cyber security

Social justice and AI

Autonomy and self-determination

Conclusion: An integrated approach for the future of AI

Excursus: Creation of images for this book

Instructions for activating DALL-E 3

Image sources

Our thanks for your trust

Imprint

Introduction

The future of artificial intelligence (AI) is a topic that is increasingly preoccupying humanity. We are on the cusp of a new era in which AI could fundamentally change our daily lives - much like the steam engine or the internet once did. But what exactly can we expect? How will AI influence our everyday lives, our working world and perhaps even our deepest beliefs?

Imagine a future where your garden is a masterpiece of care without you having to lift a finger. You step out into your green paradise and everything is perfect - not through your hard work, but through the incredible intelligence of a robot. This robot is not just a simple garden helper; it is a virtuoso gardener that intuitively understands your deepest desires and dislikes. It knows every flower that delights your heart and every blade of grass that pleases your eye. Imagine having more time for yourself while your garden is transformed into a perfect oasis, precisely tailored to your preferences. Sounds like a dream? Thanks to groundbreaking developments in AI technology, this scenario is now within reach. Immerse yourself in a world where the boundaries between man and machine are blurred and the dream of more than just gardening enthusiasts becomes reality!

But AI not only has the potential to relieve us of physical labor. It can also help with complex mental tasks. For example, doctors could be supported by AI systems that analyze X-ray images and detect signs of disease long before a human eye would be able to. This could significantly improve the early detection of diseases such as cancer.

And then there are the ethical and social questions that arise from the further development of AI. Who is responsible if an AI makes a mistake? How do we deal with data protection? And above all: what happens to the people whose jobs could be replaced by AI systems?

The future of AI is therefore a broad field with many different facets. It is a future full of promise, but also full of challenges. How we overcome these challenges will determine whether AI will be a blessing or a curse for humanity. But one thing is certain: AI is coming and it will change our lives. The question is not if, but how. And we should be prepared for this question.

Review

However, before we plunge headlong into the fascinating and sometimes unknown world of future artificial intelligence, it makes sense to pause for a moment and take a look back. The past can teach us valuable lessons for the future. It's a bit like taking a long walk through a forest. You wouldn't just set off without getting your bearings, right? You'd first check a map to see where you're coming from and what paths you've already taken to make sure you're not walking in circles or getting lost.

Throughout the history of technology, there have always been groundbreaking inventions that have transformed our society. Think of the invention of the printing press, which democratized knowledge, or the discovery of electricity, which lit up our cities and brought us a wealth of technological wonders. With all of these innovations came enormous benefits as well as challenges and risks.

How have we managed these risks? What can we learn from past experiences to better assess the opportunities and risks of artificial intelligence? If we understand the history of the technology and its impact on humanity, we may also be able to navigate the coming changes brought about by AI more wisely and responsibly.

It is therefore worth taking a step back and looking at the developments and events that have brought us to this exciting point. Only then can we look into the exciting but also challenging future of artificial intelligence with sound knowledge and a clear perspective.

Early beginnings

The history of artificial intelligence is a fascinating kaleidoscope of theory, practical application and ever-emerging visions. It does not begin, as one might assume, in the age of computers, but can even be traced back to the ancient Greeks. Even then, there were myths of artificially created creatures such as Talos, the bronze giant, or the mechanical servants of Hephaestus. But although these stories date back to a time when AI was still pure fantasy, they lay the foundations for humanity's dream of creating machines that can think.

1950s: The hour of birth

Modern AI research began in the 1950s. An important milestone was the year 1956, when the term "artificial intelligence" was used for the first time at a conference at Dartmouth College in the USA. Researchers such as Alan Turing, who had already laid the foundations for computers in the 1940s, were pioneers in this field.

AI research really took off in the modern era, especially after the Second World War, when the first computers were developed. One of the pioneers of this field was Alan Turing, a British mathematician and computer scientist. With the Turing test, he posed the question of whether a machine could think in such a way that it could no longer be distinguished from a human being. At the time, no one could have imagined how far we have come in AI research today, but Turing laid the foundations for what was to follow.

1960s and 1970s: First successes and setbacks

The late 20th century was characterized by a mixture of progress and setbacks. In the 1960s and 1970s, there were great waves of optimism. Researchers such as Marvin Minsky and John McCarthy, who coined the term "artificial intelligence", were convinced that machines would soon achieve human intelligence. This phase was later often referred to as the "AI spring". However, the hoped-for breakthrough failed to materialize. The machines were not able to even come close to the complexity of human thought, and research came up against technical and financial limits. This led to phases of "AI winter", during which enthusiasm waned and research funding flowed more sparingly.

1990s: The Internet and more data

In the 1990s, however, AI experienced a renaissance, mainly due to advances in the field of machine learning and data analysis. Computers became more powerful and the internet became a global information superhighway. The combination of improved hardware and huge amounts of data made it possible to train algorithms that could perform complex tasks. Search engines such as Google, voice-controlled assistants such as Siri and autonomous vehicles became possible.

Today: AI in everyday life

Today, we are on the threshold of a new era in which AI systems not only perform specific tasks, but are also able to tackle diverse and complex problems. Be it in medicine, climate change or the automotive industry - AI has the potential to fundamentally change our world.

The history of AI is therefore a story full of highs and lows, of visionary dreams and pragmatic setbacks. But one thing is certain: it is far from over. With every advance and every discovery, we are breaking new ground, and who knows what unexplored areas of AI still lie ahead of us.

Definition: What is artificial intelligence?

Now that we have recognized the importance of looking back at our technological history, we can turn to the core topic: What exactly is artificial intelligence? In order to discuss the future of AI in a meaningful way, we first need to develop a solid basic understanding of this complex field. It's like building a house: you don't start with the roof, you first lay a solid foundation. Only when we know what AI is and how it works can we really understand its potential impact and talk meaningfully about opportunities and risks.

So, let's turn our attention to this fascinating field and delve deeper into the world of artificial intelligence. Like a gardener who checks the soil before sowing the seeds, we want to clarify the basics. Only then can we be sure that the fruits of our deliberations will actually be valuable and nourishing for our understanding.

Artificial intelligence is not just a buzzword you hear in the news; it is a revolutionary technology that has changed and will continue to change our lives in many areas. From medicine to mobility, from communication to entertainment, AI has the potential to fundamentally improve our world. But what exactly is AI, and why are there so many different types of it?