With the rapid development of artificial intelligence, AIGC (AI-Generated Content) has become an important innovation in the digital era, attracting the use and attention of many users. However, the rise of AIGC faces many challenges such as data privacy protection and data ownership confirmation, and these challenges can be solved to a large extent through decentralized cloud storage. This article will explore the data issues faced by the rise of AIGC, and how the decentralized cloud storage network CESS can help AIGC achieve data security storage, privacy protection and ownership protection.
AIGC Compliance Status
In response to issues such as commercial data leakage and personal information leakage under AIGC, regulatory agencies in various countries have introduced corresponding regulations. For example, the British Information Commissioner's Office issued new guidance on artificial intelligence and information protection on March 15, aiming to safeguard the rights and interests of British users; the United States is also soliciting public input on potential accountability measures for artificial intelligence systems.
On July 13, seven departments including the Cyberspace Administration of my country jointly announced the "Interim Measures for the Management of Generative Artificial Intelligence Services", which will be implemented on August 15, 2023. It stipulates that the use of AI-generated content must not infringe the portrait rights of others. , specific details such as labeling of images and videos generated by AI should be provided.
It can be seen that a series of issues such as the quality and safety of the content generated in AIGC, the copyright of the generated content, information security, data privacy, and data ownership cannot be ignored. The laws and regulations of various countries will also promote the compliance development of AIGC. As the third generation decentralized cloud storage protocol, CESS will focus on the three aspects of data security storage, ownership protection and privacy protection, and explore why related problems in AIGC arise? How can it be solved technically?
Decentralized cloud storage solves AIGC’s data pain points
AIGC's various models require the support of massive amounts of data. Usually, the interaction steps with data include: data collection and cleaning, that is, AIGC needs to collect and clean a large amount of structured and unstructured data, deduplication, formatting and standardization, etc. Processing; AIGC needs to label and classify data for machine learning and deep learning training; analyze and visualize data, etc.
The steps that cause user data security and privacy issues lie in data storage, that is, secure storage of data, confirmation of data ownership, privacy protection, and permission management. For example, when users are in AIGC, they usually upload personal data, and large-scale generative AI models have the ability and characteristics to record and learn users' private data. So how to store these data securely and encrypted, how to return the ownership of these data to users, and how to allow users to perform privacy management and access control, etc., are all unresolved issues in the interaction between AIGC and data.
In terms of data storage and management, what AIGC needs is to store data in a flexible, high-performance and scalable storage system that supports version control and access rights of the managed data; at the same time, regarding data security and privacy protection, AIGC needs to ensure data security and privacy, including a series of measures such as data encryption, authentication, permission control, and data desensitization.
Therefore, to support the development of AIGC, a powerful and secure data storage system is required. Traditional cloud storage solutions may face problems such as centralized management, data abuse, data ownership that does not belong to the user, and single points of failure. Decentralized cloud storage uses blockchain technology to distribute and store data on multiple nodes in the network to ensure data security and privacy. This storage method not only helps protect user privacy, but also effectively supports the large-scale data storage and processing required by AIGC.
Cumulus Encrypted Storage System (CESS) is a decentralized distributed cloud storage system based on blockchain and the first decentralized cloud storage data network to support large-scale commercial storage. Based on the blockchain characteristics of distributed ledger technology, CESS can be used to build a safe and reliable AIGC service supply framework, record resource and service transactions, promote data networking services between nodes, and encourage data sharing and data value circulation, thereby forming A trustworthy AIGC ecosystem; CESS provides the best solution for the storage and retrieval of high-frequency dynamic data and can meet AIGC's large-scale data storage and dynamic update needs.
CESS ensures data security in AIGC
Before solving the ownership and privacy issues of data involved in AIGC, it is necessary to achieve safe storage of all data in AIGC. As a secure, efficient, open source, and scalable blockchain network, CESS has the characteristics of data encryption, non-tampering, and traceable sources. CESS aims to build a decentralized cloud storage ecosystem based on blockchain to achieve large-scale commercial storage, prevent data leakage and loss, protect data security and privacy, and can perfectly solve the data storage security issues in AIGC. On the basis of ensuring data security, CESS uses many innovative technologies and rigorous multi-layer network architecture design to achieve the performance and user experience of a centralized cloud system under the premise of decentralization; allowing data retrieval and Data return is close to milliseconds, and data integrity, persistence and reliability are reached to the extreme.
CESS realizes data rights confirmation and ownership protection in AIGC
The rise of advanced concepts and technologies such as Web3 and AIGC has become increasingly embedded in people's daily lives, making the call for data privacy protection increasingly louder. Users realize that data is a valuable resource with huge potential, and at the same time, users have become more concerned about the protection of data privacy. AIGC relies more on personal information and private data for machine learning. Therefore, the establishment of data ownership is the first condition for users to protect their own data and enjoy the value brought by the data. Through CESS's innovative multi-type data confirmation mechanism (MDRC), AIGC can achieve user data confirmation and data ownership traceability.
CESS meets AIGC’s massive storage needs and privacy protection
At the same time, the amount of data that the AIGC model needs to store and interact with is very large. With the continuous deepening of large-scale training, the explosive growth of AIGC content has also brought about the storage requirements of massive data. CESS's first decentralized object storage (DeOSS) can provide decentralized storage services with fast reading and writing, high security, scalability and privacy management for users with high-frequency dynamic data storage needs. In other words, DeOSS can provide AIGC with a massive storage, real-time sharing and dynamically updated database to meet more business needs.
From a privacy perspective, DeOSS not only enables large-scale commercial storage, but also supports user privacy protection and permission management. DeOSS allows users to license or restrict access to their data by different entities, and to delete or purge data from the internet at any time and by any means. Users can decide to make the data they hold public, private, or private with limited permissions.
Conclusion
Behind the rise of AIGC and the rapid development of the digital economy is the distributed computing and distributed storage of massive data. With the help of decentralized cloud storage, AIGC will solve the existing problems of data security storage and privacy protection, and is expected to achieve greater breakthroughs and innovations in the future. CESS will also continue to leverage its advantages in the field of decentralized storage and work with AIGC to create a new era of digital economy.
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