[PlanetKR] ECAI TACTFUL workshop 2023 -- call for papers

[Mauro Vallati]

CALL FOR PAPERS

ECAI - TACTFUL workshop 2023

Workshop on Trustworthy AI for safe & secure traffic control in connected & autonomous vehicles

Krakow, Poland, 30 September - 1 October 2023

https://ceai.agh.edu.pl/45-eai-tactful23-workshop

== Important Dates ==

Submission deadline: 30.06.2023
Notification: 31.07.2023

== Topics of Interest ==

Connected and Autonomous Vehicle and System Technologies will be the product of a rapidly developing Artificial Intelligence (AI)-centric breakthrough that will most likely transform the very way transport is perceived, mobility is serviced, travel eco-systems ‘behave’, and cities and societies as a whole operate. At least on paper this breakthrough promises some critical safety, mobility and sustainability rewards spanning from accident prevention, reduced traffic congestion and lessened greenhouse gas emissions to energy savings, improved surveillance, increased ease of use, and improved traffic management and control. However, these promising benefits are not without significant technological challenges. On the one hand, there is the need to ensure the autonomous driving capabilities of individual vehicles. On the other hand, the complex machine-led and interconnected dynamics of a high-tech mobility paradigm built around Connected and Autonomous Vehicles (CAVs) make our transport futures more susceptible to data exploitation and vulnerable to cyber-attacks, increasing the risks of privacy breaches and cyber security violations for road users.

There is a wealth of literature addressing trustworthy issues and cyber security threats and vulnerabilities on the technology and operational level in terms of how CAVs can be compromised and how the threat can be overcome and mitigated. However, these studies are often performed in a ‘bottom-up’ isolated manner. I.e., they focus on specific aspects of the technology that can be compromised without considering why the technology might be exploited and for what purpose within the smart traffic infrastructure. This has resulted in discrete research studies lacking a joined-up perspective of their adversarial use and how they can be mitigated. In the meanwhile, the risk of a substantial cyber-attack on smart transport infrastructure is continuously increasing.

This workshop aims at providing a venue to present approaches related to any aspect of autonomous driving and on the use of CAV/AV functionalities for traffic control, including driving algorithms, security vulnerabilities, exploit potential, and how to mitigate them by leveraging on AI to increase resilience and robustness of intelligent transport systems.

Topics include, but are not limited to:

- Human factors in autonomous driving
- AI ethics in AVs and CAVs
- The role of AI interpretability in traffic control with CAVs
- Vulnerabilities associated with underpinning technology and connectivity
- Threat modelling in CAVs and smart traffic control
- Transfer learning, simulation to real-world, meta-learning, multi-task learning
- Cyber Threat Analysis in urban traffic control and mobility
- Cyber Threat Analysis for Avs/CAVs
- Intersection between safety and security
- Security by design in urban traffic control and mobility
- AI and Traffic Control
- AI and CAVs
- Learning vehicle dynamics at high-speeds and in unstable regimes
- Autonomous driving datasets, simulation, evaluations, and metrics
- Fleet optimisation and resilience
- AI approaches for Urban Traffic routing
-  Knowledge representation and reasoning in autonomous driving
- Smart cities and interaction with CAVs
- Policy developments for safety and secure CAVs and smart traffic control


== Submission Instructions ==

Two types of papers can be submitted.
Full technical papers with a length up to 7 pages (including references) are standard research papers.
Short papers with a length between 2 and 4 pages can describe either a particular application, or focus on open challenges.

All papers should conform to the ECAI style template. The submission is done via EasyChair: https://easychair.org/conferences/?conf=tactful23

The reviewing process will be double blind, therefore the authors are required to anonymise the papers for submission.

Accepted papers will be made available via the workshop website, and selected papers will be invited to publish in formal proceedings in the LNCS Springer series.

== Organisation ==

Paweł Skruch, AGH University of Science and Technology in Krakow, Poland
Mauro Vallati, University of Huddersfield, UK
Marek Długosz, AGH University of Science and Technology in Krakow, Poland
Moi Hoon Yap, Manchester Metropolitan University, UK
Joanna Jaworek-Korjakowska, AGH University of Science and Technology in Krakow, Poland
Alexandros Nikitas, University of Huddersfield, UK
Mateusz Orłowski, Aptiv Company, Poland
Simon Parkinson, University of Huddersfield, UK


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