GENAIAS 2024

About GenAIaS

This workshop aims to explore the various obstacles and considerations involved in deploying Generative AI (GAI) technologies as scalable, reliable, and efficient software services. GAI holds great promise in automating content creation, data augmentation, and predictive analytics. However, integrating these advanced models into service-oriented architectures (SOA) introduces unique challenges that must be addressed to realize their full potential.

Call for Papers

We welcome contributions that address, but are not limited to, the following topics:

• Scalability and performance: Examining the infrastructure and computational requirements for deploying GAI models at scale. Addressing latency, throughput, and resource management challenges.
• Integration and interoperability: Investigating methods for integrating GAI services with existing SOA frameworks. Ensuring seamless interoperability with other services and systems.
• Data privacy and security: Addressing concerns related to data privacy, security, and gover nance when implementing GAI as a service. Strategies for safeguarding sensitive information and ensuring compliance with regulations.
• Cost management: Exploring the economic aspects of deploying GAI services, including cost effective resource allocation, pricing models, and financial sustainability.
• Service reliability and availability: Ensuring the reliability and availability of GAI services. Techniques for fault tolerance, disaster recovery, and maintaining high service uptime.
• Ethical and social implications: Discussing the ethical and social challenges of GAI services, including bias mitigation, transparency, and the impact on employment and society.
• User experience and accessibility: Designing GAI services that are user-friendly and accessible. Ensuring that these services meet the needs of diverse user groups and provide intuitive interfaces.
• Casestudies and best practices: Sharing real-world examples and best practices for successfully implementing GAI as a service. Lessons learned from different industries and applications

Publication

All accepted papers will be included in the workshop proceedings published as part of the Lecture Notes in Computer Science (LNCS) series of Springer. At least one author of an accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions and procedure of the main ICSOC conference to be found on their website

Important Dates

Paper Submission

26th September 2024

Author Notification

26th October 2024

Camera Ready Due

31st October 2024

Workshop

3rd December 2024

Submission Guidelines

Papers should be formatted according to Springer's LNCS Formatting Guidelines. All submissions must be anonymized, in PDF format and should be performed electronically through EasyChair. Submissions must be in English and must not exceed 12 pages (including abstract, figures and references). Each paper must be submitted on or before the provided deadlines. The final submission should be formatted according to Springer's LNCS Camera ready instructions. All papers must be submitted electronically, as PDF file, using the Easychair platform: https://easychair.org/my/conference?conf=icsoc2024 then by selecting "Workshop on Workshop on Generative AI as a Software Service" track.

Important Links

Workshop: https://genaias.github.io

Submission link: https://easychair.org/my/conference?conf=icsoc2024

ICSOC 2024: https://icsoc2024.redcad.tn/

GenAIaS'24 Special Issue

The authors of the best accepted papers will be invited to develop and submit an extended version of their paper to a journal. More details will be added soon.