数据资本论
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如何打造以人为本的数据时代——读《数据资本论》
Shang Hai Zheng Quan Bao· 2025-10-19 18:49
Core Insights - The book "Data Capital" argues that data is a new form of public resource and a key production factor that can drive economic development, necessitating a reevaluation of data ownership and usage rights to achieve economic transformation [4][5]. Group 1: Data as a Production Factor - Data is recognized as a core production factor alongside land, labor, and financial capital, but it is predominantly controlled by a few entities, leading to data monopolies [6]. - The monopolization of data hinders economic growth and social progress, prompting a need to rethink data ownership and usage rights [6][7]. Group 2: Community Data Cooperation - The authors advocate for community data cooperation as a solution to data monopolization, where individuals voluntarily share their data to create value for community members [7]. - An example is provided of a data cooperative for artists and musicians, initiated by institutions like Berklee College of Music and MIT, aimed at improving the music ecosystem through technology and incentive mechanisms [7][8]. Group 3: Open Access and Metadata Models - The music industry can adopt open access paradigms from other sectors to create optional creative metadata models, which help reduce transaction complexity and operational costs [8][9]. - A three-layer architecture for the digital music ecosystem is proposed, including a music metadata layer, a copyright and royalty management layer, and a virtual asset layer for music rights [9]. Group 4: Privacy and Open Algorithms - The book introduces a five-layer architecture for data privacy protection, emphasizing the importance of designing shared analytical results rather than exporting data [10][11]. - Two privacy-preserving computation paradigms are discussed: secret sharing and multi-party computation, which enhance data security while allowing collaborative analysis [11]. Group 5: Blockchain and Interoperability - The development of blockchain technology faces challenges in achieving interoperability among different blockchain networks, which is essential for its role as a foundational infrastructure in future commerce [12][13]. - The authors emphasize that human considerations must be central to discussions about digital capital, aiming for a system that promotes health, inclusivity, and benefits for all stakeholders [13].
21书评|“数据合作社”应使用什么样的数字货币?
2 1 Shi Ji Jing Ji Bao Dao· 2025-07-30 11:19
Core Insights - The book "Data Capitalism" presents a fresh perspective on the digital economy, emphasizing the need to redefine and redistribute production factors in the digital age [1][3] - It envisions an economic transformation driven by data and artificial intelligence, advocating for a more resilient and equitable economic system [3][4] Data as a New Production Factor - Data is recognized as a core production factor alongside land, labor, and financial capital, but its ownership is concentrated in the hands of a few [5] - The authors argue for a rethinking of data ownership and usage rights, proposing innovative mechanisms like data cooperatives to serve communities rather than tech monopolies [5][6] Emergence of Resilient Systems - The shift from centralized to distributed economic systems is highlighted, showcasing examples like medical data sharing networks and urban innovation alliances [6] - Data cooperatives are proposed as a model where individuals can share their data while maintaining privacy, enhancing decision-making within communities [6] Future of Digital Currency - The concept of decentralized data cooperatives extends to finance, suggesting a new type of digital currency system based on data and algorithms [7] - This new financial architecture aims to create a transparent and efficient financial system, potentially transforming transaction methods and benefiting global trade [7] AI Governance and Ethical Considerations - The role of AI algorithms in the new economy is examined, with a focus on the ethical implications of data and AI governance [8] - The need for transparent and responsible algorithm systems is emphasized to ensure fairness and avoid biases, aligning with China's goals for a sustainable digital economy [8] Transition to a Digital Era - The digital revolution is seen as a new era, raising questions about balancing efficiency and equity, protecting privacy while unlocking data value [9] - The book advocates for a future where data is a shared asset, allowing everyone to be data owners rather than passive users, promoting social justice in the digital age [9]