QAforAI-2023: 1st International Workshop on Quality Assurance for AI Systems at TASE 2023 Bristol, UK, July 4-6, 2023 |
Conference website | https://www.irit.fr/QAforAI-2023/ |
Submission link | https://easychair.org/conferences/?conf=qaforai2023 |
Submission deadline | May 12, 2023 |
1st International Workshop on Quality Assurance for AI Systems (QAforAI)
Collocated with TASE 2023
Technology is shaping our lives in a multitude of ways. As information and communications grow more ubiquitous, concerns about security, reliability, and safety grow more important. Recently, AI systems that create multimedia, essays, or even source codes have been introduced and are readily available for anyone. These technologies have raised a significant threat as such AI-generated content is becoming sophisticated, and it is getting harder to identify, distinguish, and attribute the content to humans. In this context, it is more than evident that making AI trustworthy is a critical issue.
To develop trustworthy AI systems, it is necessary to augment existing software engineering methods with additional techniques and approaches specifically designed for the unique challenges posed by AI systems such as complexity, uncertainty, lack of transparency, and ethical as well as social considerations.
This workshop aims to bring together researchers and practitioners from the fields of software engineering and AI to discuss the latest developments and challenges in quality assurance for AI systems. We invite original research papers, experience reports, and case studies related to theoretical and technical aspects of analyzing the safety, security, and reliability of AI systems.
The workshop will focus on, but does not limit to, the following topics:
- Methods and techniques to identify potential risks and vulnerabilities in AI systems
- risk assessment, threat modeling,
- data & process analysis,
- formal verification of code,
- penetration testing
- Processes, Algorithms and Models to build secure and robust AI systems
- rigorous design, coding, verification, validation, and deployment of AI systems
- adversarial machine learning
- explainability and transparency in AI systems
- security and privacy in AI systems
Submission Guidelines
Papers should be written in English and should have at most 8 pages (excluding references) in LNCS format.
High quality papers will be invited to submit a revised version to a special issue of the Science of Computer Programming journal.
Committees
Program Committee
- Nicollas Belloir Military Academy of St-Cyr Coëtquidan, France
- Giulia Boata Trento University, Italy
- Hai-Van Dang University of Plymouth, UK
- Joris Guerin Institut de recherche pour le développement (IRD), France
- Uday Rage Kiran The university of Aizu, Japan
- Aditya Kuppa University College Dublin, Ireland
- Marco Mesiti Milan University, Italy
- Yuta Nakashima Osaka University, Japan
- Quoc-Hung Ngo Technological University Dublin, Ireland
- Do-Van Nguyen National Institute of Information and Communications Technology, Japan
- Phuoc-Van Nguyen-Thi University of Southern Queensland, Australia
- Naoko Nitta Osaka University, Japan
- The-Bao Pham University of Saigon, Vietnam
- Paolo Rota Trento University, Italy
- Asanka Sayakkara University of Colombo, SriLanka
- Minh-Triet Tran Vietnam National University in HCM City, Vietnam
- The-Hung Tran A²I² Deakin University, Australia
- Cong-Thang Truong The university of Aizu, Japan
- Bo Zhang Dalian Maritime University, China
Organizing committee
- Hanh Nhi TRAN University of Toulouse Paul Sabatier, France
- Nhien An LE KHAC University College Dublin, Ireland
- Minh Son DAO National Institute of Information and Communications Technology, Japan
Contact
All questions about submissions should be emailed to hanh-nhi.tran@irit.fr