Whitepaper Copyright bei S. Volkan Kücükbudak
More and more companies are using AI to improve their applications and services. AI models like ChatGPT from OpenAI are some of the most advanced AI technologies on the market and have the potential to fundamentally change our way of interacting with machines and computers. However, the implementation of AI systems also poses major risks to the security of sensitive data and systems. In this white paper, I provide you with necessary best practices to make your AI integration secure and minimize potential risks. I would like to emphasize that AI is an impressive tool that offers us great potential if used responsibly and securely.
- Reason for this white paper
- Important warning for you
- Topics covered
- Your help is needed
- Your support
- License terms
Every year the same problem: You get harassed by countless, annoying scammers on Youtube, Instagram and Co., who pretend you can earn thousands of euros within a few days. They promise white papers and e-books that supposedly bring security and money. But if you search for these people in the respective search engines, you quickly realize that they are scammers. Even the ZDF allows the broadcast of scam schemes in ZDF Magazin Royal. It's worth a look!
Currently, there are many supposed security concepts for companies or free white papers, but often behind the schemes of known scammers is a contract that can cost the next victim thousands of euros. I hope this white paper helps you and encourages many to maintain and care for this Git, so that it can help all those who can't afford their own IT security department.
- Security of AI Systems : How to protect AI systems from attacks, including identifying vulnerabilities and implementing security measures.
- Privacy : How to comply with privacy regulations when developing AI systems, including avoiding biases in data and ensuring privacy.
- Ethics : The ethical considerations in developing and using AI, including the responsibilities of developers and users.
- AI Models and Algorithms : The security aspects of AI models and algorithms, including identifying vulnerabilities and implementing security measures.
- Development Process : Best practices for developing AI systems, including using tests, code reviews, and documenting security measures.
- User Training : Training users in dealing with AI systems and the importance of IT security.
- Regulation : The importance of regulation and laws in relation to the development and use of AI.
- Concrete Examples : Specific examples of AI security issues and how they can be avoided or resolved.
If you find this white paper useful and want to freely share your knowledge, I would be delighted for a discussion and your contributions. I would be happy to maintain this white paper together with you, to give scammers no chance to exploit unknowing companies or people. A detailed explanation of what we are all actually doing on Github and Co., in my opinion, has been missing for a long time. Let's bring a little more justice into the world, because we see that scammers are pouncing on AI technology.
We, who have been gifting our concepts to the free world for years and decades, can only exploit these when we ensure that our accounts have added value for our society. Even if we reveal our tricks and tips, they do not fall into the wrong hands and find their way to you or to others who share their knowledge honestly.
I would be delighted if you support my idea. It really annoys me when I open YouTube and have to let someone who is unknowledgeable explain how my work goes - and that over and over again. No matter which blockers you use, the nonsense is faster!"
If you find this project useful and want to support it, there are several ways to do so:
- If you find the white paper helpful, please ⭐ it on GitHub. This helps make the project more visible and reach more people.
- Become a Follower: If you're interested in updates and future improvements, please follow my GitHub account. This way you'll always stay up-to-date.
- Learn more about my work: I invite you to check out all of my work on GitHub and visit my developer site https://volkansah.github.io. Here you will find detailed information about me and my projects.
- Share the project: If you know someone who could benefit from this project, please share it. The more people who can use it, the better. If you appreciate my work and would like to support it, please visit my GitHub Sponsor page. Any type of support is warmly welcomed and helps me to further improve and expand my work.
Thank you for your support! ❤️
As the author of this white paper, I (and hopefully soon we) place great value on the protection of our rights and on ensuring that the document is not used for unethical or commercial purposes. The free use of this white paper is only permitted in the following contexts:
- For personal use and self-education
- For small businesses with a maximum of 10 employees
- For training and educational purposes in public schools and universities worldwide. Use in private educational institutions is "explicitly" not permitted!
- For ministries of the Federal Republic of Germany
Any form of commercial use, distribution, sale, advertising, or quoting of text excerpts for blog posts, websites, or similar purposes is expressly prohibited. If you want to quote from this white paper, you must link to the original document and write your own contribution
I reserve the right to take legal action against unauthorized use of this white paper. It is of great concern to me to emphasize that this white paper is intended exclusively for educational purposes and may not be used for profit-making. Any use beyond these provisions will be prosecuted.
Still yet!
Orginal source: https://github.com/VolkanSah/Implementing-AI-Systems-Whitepaper/