IEEE ICWS's first intelligent service supervision workshop is now calling for submissions!

IEEE ICWS (IEEE International Conference on Web Services), the IEEE International World Wide Web Conference, will be held in Shenzhen, China, from July 7 to 13, 2024! ICWS is a CCF-B international forum, which aims to exchange the latest basic progress in the latest technologies and practices based on network services, identify emerging research topics, and define The future of web-based services.

SRG is IEEE ICWS’s first workshop for intelligent service supervision.

Submission link: https://icws.conferences.computer.org/2024/srg-workshop/

SRGIntroduction

The digital economy has become an important engine for promoting economic growth and an important breakthrough for industrial upgrading. In the digital economy, digital services supported by information technologies such as the Internet, the Internet of Things, and big data form efficient connections between service providers and service consumers in various fields of the modern service industry. It has changed the traditional supply and demand model, cooperation and division of labor, and value creation and distribution, and developed into a new economic model.

While supporting economic growth, digital services should also assume social responsibility. In the past few years, the rapid growth of digital services and various platforms has led to a series of problems caused by regulatory loopholes, including Internet financial fraud, counterfeit and shoddy products in e-commerce, data abuse and violation of user privacy, illegal content dissemination, and artificial intelligence. Problems such as unfairness and potential discrimination that intelligent algorithms may cause. There is an urgent need for effective governance of digital services. Research on digital service supervision and governance should be carried out to form a stable, orderly, and dynamic digital service governance system and cultivate a healthy governance ecosystem. This workshop therefore aims to survey research related to the regulation and governance of smart digital services.

Topic and Scope:

Domain-Specific Language Model for Service Governance Rules

Machine Learning for Automated Service Governance Rule Understanding

Basic large model for service supervision understanding and generation

Domain adaptation for service compliance monitoring model

Evaluation of service compliance monitoring model

Inference for service supervision and formal languages

Automated service compliance monitoring and enforcement

Quality integration and lifecycle management of regulatory data

Privacy protection of regulatory data

At risk Application of artificial intelligence and LLM in management and fraud detection services Compliance-as-code and policy-as-code models for continuous compliance

Governance and compliance management topologies

Evaluating cloud security posture management models for compliance

Auditable Big data optimization model

Trust management and assurance technology for service supervision

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