How to ensure data security and privacy in the era of AIGC?
Artificial intelligence is developing rapidly, and AIGC (AI-Generated Content) has become an important innovation in the digital age, attracting the use and attention of numerous users. However, the rise of AIGC faces many challenges such as data privacy protection and data ownership confirmation, which can largely be addressed 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 assist AIGC in achieving data security storage, privacy protection, and ownership protection.
Current Compliance Status of AIGC
In response to issues such as commercial data leaks and personal information leaks under AIGC, regulatory agencies in various countries have introduced corresponding regulations. For example, the UK's Information Commissioner's Office released new guidelines on artificial intelligence and information protection on March 15, aimed at safeguarding the rights of UK users; the United States has also solicited public opinions on potential accountability measures for artificial intelligence systems.
On July 13, seven departments, including China's National Internet Information Office, jointly announced the "Interim Measures for the Management of Generative Artificial Intelligence Services," which will take effect on August 15, 2023. These measures specify detailed rules, including that AI-generated content must not infringe on others' portrait rights and that AI-generated images and videos should be labeled.
It is evident that the quality and safety of generated content in AIGC, copyright of generated content, information security, data privacy, and data ownership are issues that cannot be ignored. The laws and regulations of various countries will also promote the compliant development of AIGC. CESS, as a third-generation decentralized cloud storage protocol, will focus on three aspects: data security storage, ownership protection, and privacy protection, exploring the reasons behind the issues related to AIGC and how to solve them from a technical perspective.
Decentralized Cloud Storage Solving AIGC's Data Pain Points
The various models of AIGC require massive data support, and the typical data interaction steps include: data collection and cleaning, where AIGC needs to collect and clean large amounts of structured and unstructured data, performing deduplication, formatting, and normalization; AIGC needs to label and classify data for machine learning and deep learning training; analyzing and visualizing data, etc.
The steps that lead to user data security and privacy issues lie in --- --- data storage, specifically the secure storage of data, confirmation of data ownership, privacy protection, and permission management. For example, when users engage with AIGC, they typically upload personal data, while large generative AI models have the capability and characteristics to record and learn user privacy data. Therefore, how to securely and encryptedly store this data, how to return the ownership of this data to users, and how to enable users to manage privacy and access control are unresolved issues in the data interaction process of AIGC.
In terms of data storage and management, what AIGC requires is to store data in a flexible, high-performance, and scalable storage system that supports version control and access permissions management; at the same time, regarding data security and privacy protection, AIGC needs to ensure the security and privacy of data, including data encryption, identity verification, permission control, and data desensitization measures.
Thus, to support the development of AIGC, a powerful and secure data storage system is needed. Traditional cloud storage solutions may face issues such as centralized management, data abuse, data ownership not belonging to users, and single points of failure. Decentralized cloud storage uses blockchain technology to distribute data storage across 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 is the first decentralized cloud storage data network to support large-scale commercial storage. Based on the characteristics of distributed ledger technology, CESS can be used to build a secure and reliable AIGC service supply framework, record resource and service transactions, facilitate data networking services between nodes, and encourage data sharing and the circulation of data value, thereby forming a trustworthy AIGC ecosystem; CESS provides the best solution for the storage and retrieval of high-frequency dynamic data, meeting the needs for large-scale data storage and dynamic updates in AIGC. - CESS Ensures Data Security in AIGC
Before addressing the issues of data ownership and privacy rights involved in AIGC, it is necessary to achieve secure storage of all data in AIGC. CESS, as a secure, efficient, open-source, and scalable blockchain network, features data encryption, immutability, and traceability. CESS aims to build a decentralized cloud storage ecosystem based on blockchain that achieves large-scale commercial storage, preventing data leakage and loss, ensuring data security and privacy protection, and perfectly solving the data storage security issues in AIGC. On the basis of ensuring data security, CESS achieves performance and user experience close to centralized cloud systems through numerous innovative technologies and meticulous multi-layer network architecture design; allowing data retrieval and return to approach millisecond levels, with overall data integrity, continuity, and reliability reaching extremes.
- CESS Achieves Data Ownership Confirmation and Protection in AIGC
The rise of advanced concepts and technologies such as Web3 and AIGC is increasingly penetrating people's daily lives, leading to a growing call for data privacy protection. Users are realizing that data is a valuable resource with immense potential, and their concern for data privacy protection is also increasing. AIGC relies more on personal information and privacy data for machine learning, so establishing data ownership is the primary condition for users to protect their own data and enjoy the value brought by data. Through CESS's innovative multi-type data ownership confirmation mechanism (MDRC), AIGC can achieve user data ownership confirmation and traceability of data ownership.
- CESS Meets the Massive Storage Needs and Privacy Protection of AIGC
At the same time, the amount of data that AIGC models need to store and interact with is enormous. As large-scale training continues to deepen, the explosive growth of AIGC content has also brought about massive data storage needs. CESS's pioneering decentralized object storage (DeOSS) can provide users with high-frequency dynamic data storage needs with fast read and write, high security, scalability, and privacy management decentralized storage services. In other words, DeOSS can provide AIGC with a massive storage, real-time sharing, and dynamic updating database, thereby meeting more business needs.
From a privacy perspective, DeOSS not only achieves large-scale commercial storage but also supports user privacy protection and permission management. DeOSS allows users to permit or restrict access to their data by different entities and to delete or clear data from the internet in any way at any time. Users can decide to make the data they hold public, private, or partially private.
Conclusion
The rise of AIGC and the rapid development of the digital economy are backed by distributed computing and distributed storage of massive data. With the assistance of decentralized cloud storage, AIGC will address existing issues of data security storage and privacy protection, and is expected to achieve greater breakthroughs and innovations in the future. CESS will continue to leverage its advantages in the field of decentralized storage to jointly create a new era of the digital economy with AIGC.