Core Viewpoint - The article emphasizes the importance of artificial intelligence and its related industries in enhancing the quality and scale of the digital economy, positioning them as new engines for economic growth. It highlights the need for institutional guarantees to support private enterprises in their innovative endeavors within the digital economy [3]. Group 1: Challenges Faced by Private Enterprises in Digital Transformation - The digital economy, driven by digital technologies and data, creates mismatches with traditional economic factors such as land, capital, and labor, necessitating adjustments and regulations [4]. - There is a conflict between unclear data ownership and the innovation investments made by private enterprises, which contribute over 70% of China's technological innovations. The ambiguity surrounding data ownership and usage rights discourages investment and innovation [4]. - The outdated regulatory methods lead to compliance anxiety among private enterprises, as they struggle to understand dynamic regulatory requirements, which may inhibit their willingness to innovate [4]. - The misalignment of competition rules in the digital economy creates challenges for fair development among private enterprises, particularly with the dominance of major platform companies and the potential for algorithmic discrimination against smaller firms [5]. Group 2: Enhancing Legal Frameworks to Empower Private Enterprises - To address the aforementioned challenges, a shift from traditional legal frameworks to those that accommodate digital transformation is necessary, focusing on three key transitions [6]. - The legal framework should evolve from a focus on physical space to one that considers digital space, establishing clear rules for data rights, security, and circulation to empower private enterprises [7]. - The regulatory approach should transition from merely overseeing compliance to enabling growth by reducing institutional transaction costs for private enterprises, thus enhancing their operational efficiency [7]. - Legal requirements should be integrated into the innovation processes of private enterprises to provide preemptive compliance support, transforming punitive measures into safeguards that encourage innovation [7]. Group 3: Institutional Innovations for Private Enterprises - Current institutional innovations should focus on three areas to meet the practical needs of private enterprises [8]. - Clear definitions of data ownership are essential, allowing private enterprises to gain rights to data processing and usage, thereby enabling them to monetize data effectively [8]. - Algorithm regulation should be transparent and allow for error correction, providing private enterprises with clarity on compliance and reducing the fear of punitive actions for non-malicious algorithmic deviations [8]. - Facilitating cross-border data flow is crucial for private enterprises engaged in international business, requiring clear pathways and simplified processes for data export [8]. Group 4: Building a Supportive Digital Environment for Private Enterprises - Creating a conducive digital environment for private enterprises involves establishing a legal ecosystem that encourages participation, adapts rules, and allows for continuous iteration [9]. - A stable and fair business environment, characterized by clear data ownership, transparent regulation, and equitable competition, is vital for unleashing the innovative potential of private enterprises in the digital economy [9].