Gong Bihan: Empowering the High-Quality Development of Discipline Inspection and Supervision Work via Digitalization
General Secretary Xi Jinping emphasized at the Fifth Plenary Session of the 20th Central Commission for Discipline Inspection (CCDI) that we must "grasp the new trends and characteristics of corruption and innovate our methods and means." Digital technologies, represented by big data and artificial intelligence, provide brand-new possibilities for penetrating the complexity and concealment of the exercise of public power. Promoting the deep integration of digital technology with discipline inspection and supervision work is not merely an upgrade of technical tools; it is a profound revolution in the supervision of public power and a reshaping of governance paradigms.
Digitally empowering discipline inspection and supervision work aims—through the interconnection of data and intelligent analysis—to make political supervision concrete, the exercise of public power transparent, and institutional constraints rigid. This effectively strengthens the Party's capacity for self-purification, self-perfection, self-innovation, and self-improvement. Systematically exploring the fundamental principles, value orientations, functional mechanisms, and implementation paths of digital empowerment for high-quality development in discipline inspection and supervision is of great practical significance. It helps transform institutional advantages into governance efficacy and continuously consolidates and develops the "overwhelming victory" [1] achieved in the anti-corruption struggle.
I
The success or failure of digital empowerment for high-quality development in discipline inspection and supervision depends first on whether its political direction is correct and its political foundation is firm. The construction of the digital discipline inspection and supervision system must be placed under the centralized and unified leadership of the Party. It must always serve the supreme political goals of advancing the Party's self-revolution and consolidating the Party's long-term governing status.
The digital discipline inspection and supervision system is not a simple technical system, but a strategic project for the Party to advance self-revolution and strengthen its capacity for long-term governance. This means that the choice of technical routes, the integration of data resources, and the research and development of supervision models must all be anchored to the overall interests of the cause of the Party and the state. Digital empowerment is not "starting a new kitchen" [2] in isolation from the original supervision system; rather, it relies on digital means to deepen and reshape the political logic, business processes, and institutional mechanisms of discipline inspection and supervision work.
All explorations and applications of digital empowerment must closely revolve around the strategic deployments for comprehensively and strictly governing the Party. They must serve the practical needs of purifying the political ecosystem and maintaining the health of the Party's "organism." The political requirements and institutional logic of comprehensively and strictly governing the Party should be deeply embedded in the algorithmic rules of data screening, model construction, and risk early-warning. Through full-chain, traceable data governance, the focus of supervision can be moved forward from "post-hoc investigation and punishment" to "pre-emptive warning and in-process control." This deepens the efficacy of supervision from "punishing individual cases" to "systemic treatment and ecological restoration," providing powerful technical support for the integrated advancement of "not daring to be corrupt, not being able to be corrupt, and not wanting to be corrupt" [3].
II
The advancement and effectiveness of digital empowerment in discipline inspection and supervision must ultimately be tested by the people. This requires deeply integrating the People-Centered Development Philosophy into the very marrow of technical applications. We must ensure that all digital empowerment practices are dedicated to responding to the people's concerns and safeguarding their interests, thereby achieving a resonance between the enhancement of supervision efficacy and the steadfast commitment to the mission of serving the people.
Relying on big data comparison, intelligent screening, and routine monitoring, digital empowerment focuses on key livelihood areas such as education, healthcare, elderly care, social security, rural revitalization, and the distribution of public benefit funds. It carries out full-chain, routine data monitoring on critical links in the exercise of public power, such as project approvals and fund allocations. This method can accurately identify hidden anomalies and problem clues from massive amounts of information, extending the "probe" of supervision into every corner concerning the interests of the masses. It significantly improves the precision and timeliness of punishing "micro-corruption" [4].
Furthermore, digital empowerment lowers the threshold for public participation in supervision by building integrated and convenient online supervision platforms, allowing the public's supervisory demands to reach discipline inspection and supervision organs directly. More importantly, by optimizing processes, standardizing procedures, and providing real-time inquiry and feedback mechanisms, these platforms effectively protect the public's right to know, right to participate, and right to supervise. They ensure that power is exercised in the sunshine, thereby greatly consolidating and expanding the mass base of discipline inspection and supervision work.
III
The core of digital empowerment in enhancing supervision efficacy lies in strengthening the "penetrative power" of anti-corruption efforts. This penetrative power does not simply stop at the discovery of surface-level problems. Instead, it follows a progressive logic that moves from "static structure" to "dynamic process" and then toward "generative logic." It reveals institutional defects in the allocation of power, tracks procedural deviations in the execution of power, and, on this basis, grasps the internal laws governing the emergence and spread of corruption. This achieves a transformation of the supervision paradigm from "treating the illness after it occurs" to "preventing the illness before it arises."
Many corruption problems are not isolated cases but are rooted in structural "gray zones" or supervision blind spots where public power is allocated. By constructing "one network" of data for the exercise of public power across departments and levels, and using technologies like knowledge graphs for relational modeling, digital empowerment can visually present the paths, nodes, and mutual constraints of the flow of public power. This upgrades the supervisory perspective from approving a single item to an overall review of the scientific nature of power allocation. Consequently, it identifies the institutional soil that breeds corruption—such as overlapping functions, missing procedures, or excessive discretionary power—achieving a shift from "punishing behavior" to "optimizing structure."
Through the dynamic collection and monitoring of data across all links of business processes, digital technology makes the implementation of systems visual and traceable. Supervisors can set compliance parameters and risk thresholds to automatically scan and warn against microscopic phenomena such as abnormal approval speeds, skipped procedures, or rule circumvention. This realizes a shift from "result inspection" to "process control," moving supervision nodes forward to prevent the emergence and accumulation of corruption risks at the source.
By comprehensively mining historical case data and supervision data, and using machine learning models to analyze the common characteristics, correlation patterns, and evolutionary trends of corrupt behavior in different fields and periods, digital empowerment can transform scattered individual case experiences into quantifiable risk prediction models. This enables supervisors not only to handle exposed problems but also to grasp the regular signals of corruption's emergence and spread. This allows for proactive institutional improvements and ecological restoration, pushing anti-corruption from "passive response" to "active governance" and fundamentally compressing the space for corruption.
IV
To effectively translate the value foundations and functional mechanisms of digital empowerment into governance efficacy for discipline inspection and supervision, we must construct a systematic, integrated, pragmatic, and effective path of practice.
Promote data sharing and break down "data silos." We must strengthen top-level design and coordinate the formulation of unified data standards, interface specifications, and secure sharing mechanisms. We should promote the convergence and integration of data in key areas such as finance, approval processes, public resources, and organizational personnel in accordance with laws and regulations. By building a comprehensive and integrated digital supervision network, we can achieve the comprehensive collection, standardized processing, and orderly sharing of information on the exercise of public power, laying a solid data foundation for panoramic scanning and holistic assessment.
Strengthen intelligent judgment and build "data-driven wisdom." A mere pile of data generates no value; only relational analysis reveals the truth. We should focus on the key chains of the exercise of public power and the prominent characteristics of "new types of corruption" and "hidden corruption." We must construct intelligent analysis models and algorithms targeting abnormal fund flows, related-party transactions, and behavioral pattern deviations. Through cross-comparison, deep mining, and graph analysis of multi-dimensional data, we can transform abnormal patterns and benefit-transfer chains hidden under compliant processes into identifiable, warnable, and verifiable risk signals, achieving "precision guidance" in tackling corruption problems.
Promote business integration and achieve "empowerment transformation." The vitality of technical tools lies in their deep integration with core responsibilities and primary business. The results of data analysis and intelligent judgment must be deeply embedded into the entire process of discipline inspection and supervision, including clue management, preliminary verification, review and investigation, and "promoting reform through cases" [5]. By using data to support decision-making and models to assist judgment, we can drive the shift in supervision, discipline enforcement, and law enforcement toward reliance on data evidence, upgrading from "manual screening" to "human-machine collaboration," and effectively transforming data insight into real supervisory power.
Improve the institutional system and build "institutional guardrails." We must simultaneously improve a series of systems covering data security, technical compliance, algorithmic auditing, and the application of results. By clarifying rights and responsibilities at each stage and tightening the chain of responsibility, we can effectively guard against risks such as data leaks, algorithmic bias, and abuse of power. On this basis, mature and effective digital supervision practices should be promptly codified into institutional norms and linked with Party regulations and state laws. This will transform technical advantages into long-term, stable, and reliable supervisory capabilities, driving the continuous deepening and long-term effectiveness of the digital discipline inspection and supervision system.
(Author: Gong Bihan, Researcher at the Digital Supervision Laboratory, Sichuan Provincial Key Laboratory of Philosophy and Social Sciences, Chengdu University of Technology)
Source: Guangming Daily (June 3, 2026) Editor: Huihui