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AI dilemma - Is art still real? When machines create, who owns the work? A non-fiction book by Roger Menzi The boundaries between human creativity and machine production are becoming blurred. Artificial intelligence composes music, paints pictures and writes texts, but is this really art? And if so, who owns the work? "AI Dilemma - Is art still real? When machines create, who owns the work?" - "The legal risks associated with the use of AI" gets to the bottom of precisely these questions. This book sheds light on the profound ethical, legal and creative challenges posed by AI-generated art. It provides an in-depth overview of the risks and opportunities of AI in the music and art industry, from accusations of plagiarism and copyright to the economic impact for artists and creatives. Is a piece of music composed with AI really an original work? Can AI-generated works be used commercially or are there legal pitfalls? Could the music industry be revolutionized or even destroyed by AI creations? The book provides exciting background information, shows practical, possible case studies and looks at possible court rulings and future legal developments. It becomes clear that digitalization has changed the art world forever, and those who are not familiar with the new rules risk being left behind. With easy-to-understand explanations, practical examples and a keen eye for the reality of the digital creative industry, this book will help anyone involved in AI art, whether musician, artist, producer or anyone else who is simply curious. Discover what the future of art looks like and how you can help shape it. Whether you are creative yourself, use AI as a tool or simply want to understand how art, music and copyright are changing in the digital age, this book will give you exciting insights, tips and solutions. This book is for anyone who uses AI as a tool or simply wants to understand how art, music and copyright are changing in the digital age.
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Introduction
Aim and structure of this book
Why an AI-generated song is still a human work
Personal contribution despite AI support
User input leads to AI output
Why an AI song, as a complete work, still has a human contribution
What human parts are in an AI song
Everyone can, but no one has to
When is something "real"?
Comparison between human collaboration and man-machine
Can an AI song be protected by copyright?
Only manual work is genuine and worth protecting?
Craftsmanship or technology?
The role of originality
Tool or creator?
The question of "real" musicians and the role of AI
#NoFilter!
The criticism of AI music
The role of honesty and authenticity
Can AI music be protected?
When is AI use unlawful?
Coincidences and parallel ideas
Can two people invent the same thing at the same time?
Who rings first? The race for the phone
Did Lichtenstein steal the flag from Haiti?
Interesting here
Back then, without AI and without the Internet, just like today with AI and with the Internet.
Why a pro user could lose to a music multinational
Coincidence or collective subconscious? When two people invent the same song
The case of "My Sweet Lord" and "He's So Fine"
Parallel cultural developments
The phenomenon of "unintentional synchronicity"
Modern examples: The role of the Internet
What does science say?
Creativity in the field of tension between coincidence, unconscious influence and conscious plagiarism
A scientific proof of musical coincidence?
How many notes are there?
In principle, there is an unlimited combination of tones
How many "meaningful" combinations are there in an octave?
The basics of melody formation
There are many possibilities for different melodies
Why can melodies be similar?
The most popular chord progression in the world
A composer publishes his self-composed melody
What if someone claims that it is plagiarized?
How can this be checked before publication?
What happens if a melody is too similar?
Music generation with artificial intelligence?
You should NOT do this when creating AI music!
If a subscription allows commercial use?
What are users who adhere to the above rules allowed to do?
In summary, users are likely to do the following:
Can a compliant user be sued?
Could an AI user sue the AI platform?
Exclusions of liability in the terms of use
Contractual basis between the user and the AI
Liability for AI models and copyright
Possible approaches for a lawsuit
Practical prospects of success
Alternative procedures
Does the training data infringe copyright? What was used for training?
What was the music AI trained with?
With an honest attitude, the AI industry could attract and retain more users
Why you should perhaps not use AI
Can an AI-generated song on a video platform become a problem even without commercial use?
A system that shows whether an element already exists in a song
Possible legal consequences
Recommendations for music AI users
The search for real solutions
Self-examination of originality
Examination by experts (legal advice)
Copyright registration in Switzerland
Carry out tests on platforms
Adjust AI expenditure
Legal insurance or protection
Final thoughts on AI music
The 10 dollar user in court? That can't be right!
Legal notice
The ethical dimension of AI music
Outlook for future developments
Transparency and responsibility
New business models and forms of licensing
Technological advances and creative possibilities
Social acceptance and education
International regulation and cooperation
Future variants of AI music
The regulated and responsible future
The unregulated and conflict-ridden future
The fully automated creative landscape
An outlook on reality
Final grade
Author of this text
Microsoft®
The energy sector
Google®
The Internet
The entire history of mankind
Nature
My parents
Appendix
Start - License agreement - Example
Risk statement on the use of AI-generated works
General background
Possible risks during use
Recommendation
Note from the author
Disclaimer about this book
Roger Menzi
Author ID at ORCID - Open Researcher and Contributor ID
AI dilemma
Is art still real? When machines create, who owns the work?
Non-fiction book
Texts: © Copyright by Roger Menzi
Cover design: © Copyright by Roger Menzi
Publisher:
Pixel and Paper Publisher
Spycher Creative Solutions
Bachstrasse 6
9244 Niederuzwil
Manufacture:
epubli - a service of neopubli GmbH,
Köpenicker Strasse 154a, 10997 Berlin
Contact address according to EU product safety regulation: [email protected]
Why AI-generated music is a controversial topic
The rapid development of artificial intelligence has not only revolutionized the world of technology and science, but has also permanently changed the world of art.
Especially in the field of music production, AI has established itself as a tool that offers both opportunities and challenges.
What once required the creative process of a human being can now be completed by algorithms in a matter of seconds.
This development has led to a fundamental discussion:
Is an AI-generated song really a work of art? And if so, who does it belong to? The machine that created it or the person operating the machine?
A central point of the debate is the question of the authenticity and originality of AI music. Critics argue that AI only recombines existing patterns and data instead of creating something truly new. Proponents, on the other hand, emphasize that humans form the creative core of the process through their input and decisions. These opposing views raise profound legal, ethical and artistic questions that are not easy to answer.
In addition, the legal gray area poses a serious problem. As the training data of many AI systems is not disclosed, it remains unclear whether copyrights could be infringed. At the same time, users of such platforms often have to bear the legal risks themselves, even though they have no control over the underlying data. This uncertainty makes the use of AI-generated music a risky undertaking for many.
This book aims to shed light on the various facets of AI-generated music production and provide a comprehensive overview of the opportunities, risks and controversial aspects. It is aimed both at musicians who want to use AI as a tool and at anyone interested in understanding the cultural and legal implications of this technology.
The first main section deals with the question of why AI-generated music remains a human work despite machine support. It explains how human input and creative decisions dominate the creative process and why the originality of such works should not be questioned.
The second main section is dedicated to the challenges and risks associated with the use of AI platforms. Legal uncertainties, the risk of copyright infringements and the responsibility of users are analyzed in detail.
The concluding section of the book offers an extended consideration of the ethical dimension of AI music as well as an outlook on future developments. The aim is to provide readers with a sound understanding to enable them to make their own decisions about the use of these technologies.
The appendices provide practical resources, including a sample license agreement and a risk statement to better understand the legal framework. This makes this book not only a source of information, but also a practical guide to the creative use of AI in music production.
If a human uses specialized software or an AI tool for music production, locally or on an online platform for support, the end result generated with the help of AI is still the result of human creation.
Every human AI user who uses an AI as a supporting tool for the musical realization of a work nevertheless contributes to the final result, which means that human creation must also be recognized when using AI support.
The AI's answers are based on the questions or instructions from the AI user. Depending on what you ask the AI or what tasks you give the AI, the result will be different. A person working with AI must have learned the necessary skills to ask the right questions and give the right instructions so that the work with the AI leads to the desired goal. AI users therefore make targeted use of the skills they have learned, their personal intelligence and their experience of working with AI in the past. All the experience they have gained from trying out, testing and evaluating different approaches contributes significantly to the output.