AI4CCAM partners met on 20 and 21 June, in Mladá Boleslav for the fourth General Assembly of the project, hosted by Skoda.
A crowdy room to discuss project achievements and upcoming goals for each Work Package of AI4CCAM, especially considering that AI4CCAM is going to held soon its mid-term review, foreseen in September 2024.
The main focus of the meeting was on the project demonstration and scientific impact; the data management during and beyond project, both analysed and discussed thanks to specific breakout sessions.
A visit at Skoda premises was the best way to end an intense and productive General Assembly!
The AI4CCAM second newsletter is out!
Such a special issue as AI4CCAM recently turned one! Watch the video telling so many months of work in just 120 seconds.
The newsletter is opened by message from our project coordinator, Arnaud Gotlieb, Simula Research Laboratory, underlining the strong results the project has started to deliver. In particular, the first publications of the project have demonstrated the high level of Research and Innovation activities. The design of autonomous driving (AD) scenarios in urban environment presenting ethical risks, the analysis of barriers and levers for user acceptance of AD in Europe, the preparation of three complementary and ambitious use cases as well as the finalisation of a participatory space dedicated to EU-citizen demonstrate high engagement and commitment of all the partners in the consortium.
Also, watch the interviews to our Ethical and Scientific Advisory Board, and read the latest news and upcoming events.
The newsletter is the best way not to loose any news and update on AI4CCAM.
On May 15, 2024, the first AI4CCAM Stakeholders Forum Workshop was held as a side event at the IT-TRANS Conference in Karlsruhe, Germany. This workshop gathered experts from various organizations to delve into the ethical, perceptual, and cybersecurity dimensions of Trustworthy AI in Connected Cooperative and Automated Mobility (CCAM). The discussions focused on identifying key levers and barriers to CCAM adoption and provided valuable insights to guide the future of AI in automated vehicles. The event facilitated meaningful discussions and provided useful insights to guide the future of AI in automated vehicles. The outcomes of these discussions will contribute to the development of AI4CCAM guidelines for AI that emphasize diversity, inclusion, and cybersecurity.
First, AI4CCAM presented the European Trustworthy AI Framework, which is central to the efforts on Trustworthy AI for CCAM. This framework aims to ensure an adequate ethical and regulatory environment. The four principles for delivering Trustworthy AI are:
• Human autonomy: ensuring users can make informed and autonomous decisions.
• Prevention of harm: protecting against vulnerabilities and ensuring safe AI systems.
• Fairness: avoiding bias and discrimination.
• Explicability: making AI processes and decisions transparent and understandable.
All these principles are crucial for delivering Trustworthy AI in CCAM.
The framework also includes seven ethical key requirements that are needed to implement the principles. These requirements are:
• Human agency and oversight
• Technical robustness and safety
• Data governance and privacy
• Transparency
• Diversity, non-discrimination and fairness
• Societal and environmental well-being
• Accountability
The workshop consisted of roundtable discussions that explored various aspects of delivering Trustworthy AI in CCAM:
• Fairness, Diversity, and Inclusion: Participants explored the requirements for ensuring diversity, non-discrimination, and fairness in the context of connected and automated vehicles (CAVs). They examined implementation strategies focusing on system design and validation and analyzed trade-offs with other priorities like privacy and safety.
• Sharing Road Space with other types of vehicles, including non-CAVs: Participants discussed the integration of CAVs into public transport environments, addressing issues such as space sharing, potential increases in private CAV usage, and safety concerns related to passengers and driverless vehicles.
• Fostering Cybersecurity: Participants examined the significance of cybersecurity and privacy for CCAM, focusing on balancing these aspects from the users’ perspectives.
• Ensuring Transparency in Industry Communication: This group discussed governance techniques to ensure transparent and accurate communication about the capabilities of autonomous vehicles, aiming to avoid over-claiming and ensure clear definitions of roles and accountability.
The workshop saw active participation from all attendees, fostering collaborative discussions that deepened the understanding of the challenges and opportunities in CCAM. The format proved useful for leveraging the expertise of the CCAM community, enriching AI4CCAM’s efforts to develop guidelines for Trustworthy AI.
The workshop concluded with the presentation of the AI4CCAM Participatory Space, an online platform that aims to connect stakeholders from the CCAM environment. Informative content along with interactive components such as discussions or surveys will be used to engage participants to the adoption of Trustworthy AI literacy applied to CCAM.
AI4CCAM will actively participate in the ECCOMAS Congress 2024, happening 3-7 June in Lisbon, Portugal.
The 9th European Congress on Computational Methods in Applied Sciences and Engineering is a scientific organization founded in 1992, grouping together European associations with interests in the development and applications of computational methods in applied sciences and technology. The mission of ECCOMAS is to promote joint efforts of European universities, research institutes and industries which are active in the broader field of numerical methods and computer simulation in Engineering and Applied Sciences, to address critical societal and technological issues with particular emphasis on multidisciplinary applications and disseminate innovative research in the fields of ECCOMAS.
The main event organized by ECCOMAS is its biennial European Congress, providing a rendezvous for scientists and engineers from within Europe and around the globe. The main objective of these congresses is to provide a forum for presentation and discussion of state-of-the-art developments in scientific computing applied to engineering sciences. Equal emphasis is given to basic methodologies, scientific development and industrial applications. The ECCOMAS Congress includes invited lectures, invited Special Technological Sessions (STS), contributed papers from Academy and Industry and organized Minisymposia.
AI4CCAM will be presenting the paper “AI4CCAM: Trustworthy AI for Connected, Cooperative Automated Driving” within the session “Contributions of EU-funded projects managed by CINEA towards greener and digital transport”, by Arnaud Gotlieb, Simula Research Laboratory, the project coordinator.
For more details on the Session, click here
To complement the AI4CCAM consortium with a wider view and receive feedback and support on the project activities and developments, a long-term Ethical and Scientific Advisory Board (ESAB) has been created, including CCAM experts and operators, public administrations and authorities, policy-makers and regulators, big industrial players, and associations.
The ESAB is led by Prof. Jean-Gabriel Ganascia, Professor of Computer Science at Sorbonne University. It also involves: Margriet Van Schijndel-de Nooij, Program director Responsible Mobility bij Technische Universiteit Eindhoven; and Jerome Perrin, Recherche scientifique et développement industriel dans les domaines énergie, environnement, mobilité – Associations caritatives – Ethique et Théologie.
The scope of the Advisory Board is to maintain an accurate body of knowledge on AI in CCAM operations, enabling the continuous consideration and analysis of ethical aspects and also facilitating interactions with relevant associations and policy-makers.
AI4CCAM interviewed Jean-Gabriel Ganascia. Watch the video!
To complement the AI4CCAM consortium with a wider view and receive feedback and support on the project activities and developments, a long-term Ethical and Scientific Advisory Board (ESAB) has been created, including CCAM experts and operators, public administrations and authorities, policy-makers and regulators, big industrial players, and associations.
The ESAB is led by Prof. Jean-Gabriel Ganascia, Professor of Computer Science at Sorbonne University. It also involves: Margriet Van Schijndel-de Nooij, Program director Responsible Mobility bij Technische Universiteit Eindhoven; and Jerome Perrin, Recherche scientifique et développement industriel dans les domaines énergie, environnement, mobilité – Associations caritatives – Ethique et Théologie.
The scope of the Advisory Board is to maintain an accurate body of knowledge on AI in CCAM operations, enabling the continuous consideration and analysis of ethical aspects and also facilitating interactions with relevant associations and policy-makers.
AI4CCAM interviewed Margriet van Schijndel. Watch the video!
To complement the AI4CCAM consortium with a wider view and receive feedback and support on the project activities and developments, a long-term Ethical and Scientific Advisory Board (ESAB) has been created, including CCAM experts and operators, public administrations and authorities, policy-makers and regulators, big industrial players, and associations.
The ESAB is led by Prof. Jean-Gabriel Ganascia, Professor of Computer Science at Sorbonne University. It also involves: Margriet Van Schijndel-de Nooij, Program director Responsible Mobility bij Technische Universiteit Eindhoven; and Jerome Perrin, Recherche scientifique et développement industriel dans les domaines énergie, environnement, mobilité – Associations caritatives – Ethique et Théologie.
The scope of the Advisory Board is to maintain an accurate body of knowledge on AI in CCAM operations, enabling the continuous consideration and analysis of ethical aspects and also facilitating interactions with relevant associations and policy-makers.
AI4CCAM interviewed Jerome Perrin. Watch the video!
Following a dynamic and productive planning workshop held on 12th April 2024 at TTS Italia premises, the team behind the AI4CCAM’s Use Case 3 (UC3) are thrilled to announce significant progress towards the execution phase.
The purpose of UC3 is to assess the degree of Vulnerable Road Users’ acceptance of Connected and Automated Vehicles exploring their interaction dynamics in a number of increasingly complex urban settings, where users will be immersed through a purposely designed VR experiment. When interacting with CAVs, VRUs will be prompted to take decisions (e.g., street crossing decisions when a CAV is approaching), while semi-quantitative data, also including physiological indicators, will be collected to assess acceptance rates in diverse scenarios.
Led by TTS Italia, the workshop brought together key UC3 partners including CNRS, IRTSX and Akkodis, to strategize and delineate roles for the forthcoming VR experiment. The discussions focused on clarifying roles, defining scenarios, outlining logistical details, and establishing next steps. TTS expressed gratitude to all participants for their valuable contributions and reiterated their commitment to advancing the UC3 project’s objectives.
Intellectual property helps drive innovation and growth by bringing in financial returns, raising brand awareness and ensuring business growth. You can rely on intellectual property to increase productivity, earn licensing fees and even receive royalties. Patents help create a monopoly and provide protection to your business by preventing others from commercialising your innovation. IP helps you earn a higher return on investment and manage your assets efficiently.
Within this context, the EC Horizon Results Platform team, together with the European IP Helpdesk, co-organise the webinar “Artificial Intelligence and Intellectual Property (IP)”, to be held on 18 April 2024, 1.30-12.30 (CEST).
Learning Objectives of the webinar:
- Understanding Intellectual Property in AI
- Rights in Data Used by Machine Learning
- Protection of Data through Database Rights
- Obtaining Rights for Data Usage in AI Innovation
- Patenting Inventions in AI
- Impact of European and US Patent Office Guidance
- Ownership of Inventions Derived from External Data
- Commercialization of AI Innovations
For registration, click here
