Core Viewpoint - The establishment of a scientific data payment mechanism is essential for building a sustainable data factor market, which will ensure the legitimate rights of data providers and promote efficient and compliant data circulation, thereby unleashing the value of data factors and empowering the development of the digital economy [5] Group 1: Data Market Development - The "14th Five-Year Plan" emphasizes the need to improve the foundational system for data factors and build an open, shared, and secure national integrated data market, which is crucial for deepening the development and utilization of data resources [1] - The National Data Bureau has called for increased investment in the data sector and the cultivation of a market awareness of "paying for data," which serves as a top-level guide for the market-oriented allocation of data factors [1][2] Group 2: Challenges in Data Quality and Pricing - The core obstacle in the development of the data factor market is the lack of a payment mechanism that accurately identifies and rewards data value, leading to market failure and stifling innovation in the AI industry [3] - The current market faces fundamental issues such as "bidirectional value uncertainty" and pricing failure, which hinder the circulation of high-quality data [3][4] - Insufficient incentives for high-quality data production result from the absence of a payment mechanism, leading to a severe shortage of specialized data sets necessary for deep AI development [4] Group 3: Proposed Solutions for Data Payment Mechanism - A technology-driven and mechanism-supported data payment system is essential to overcome existing challenges, focusing on quantifying value and ensuring fair distribution [6][7] - The transition from "fuzzy pricing" to "precise quantification" is necessary to address data pricing challenges, utilizing advanced technologies to measure the marginal contribution of specific data to model performance [7] - The establishment of a "data billing" system is crucial, which should balance cost compensation and fair profit sharing, ensuring that contributions determine rewards [8] Group 4: Strategic Importance of Data Payment Mechanism - Establishing a scientific payment mechanism for quality data is a strategic and long-term investment for the future of digital economy development and the healthy growth of the AI industry [9] - A fair and effective data evaluation and pricing system is fundamental to resolving the "lemon market" effect and "bidirectional value uncertainty" issues, providing a clear technical solution to implement the "data twenty articles" [9]