Caution: JavaScript execution is disabled in your browser or for this website. You may not be able to answer all questions in this survey. Please, verify your browser parameters.

[AI4REALNET] Industry-driven use cases - Feedback

 

AI4REALNET Project: Industry-driven use cases for AI

 

AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modeled by networks that can be simulated and traditionally operated by humans and where AI complements and augments human abilities. In the AI4REALNET vision, high levels of human control and AI-based automation coexist with “optimal” balance. They are divided into a) full human control, b) co-learning between AI and humans, including adjustable autonomy, and c) trustworthy full AI-based control.


This survey aims to gather insights from AI4REALNET stakeholders regarding integrating AI-based systems within project use cases. We seek suggestions for enhancing use case descriptions and scenarios, refining the role of human operators, identifying potential threats, concerns, and vulnerabilities, and pinpointing relevant standardization efforts. Your feedback will contribute to developing AI4REALNET's framework, ensuring that AI-based solutions are implemented effectively and responsibly in critical infrastructure environments. Visit our use case description page. 

Energy Domain

UC01. Energy – AI assistant supporting human operators’ decision-making in managing power grid congestion

UC02. Energy – Sim2Real, transfer AI-assistant from simulation to real-world operation

How would you improve the description of the use case?

How would you improve the scenarios of the use case?

How would you improve the consideration of the role of human operators?

Which threats, concerns, and vulnerabilities do you detect or are missing for this use case?

Are you aware of standardisation initiatives or standards relevant to these use cases?

Which requirement would you add to the use cases?

Railway Domain

UC01. Railway – Automated re-scheduling in railway operations

UC02. Railway – AI-assisted human re-scheduling in railway operations

How would you improve the description of the use case?

How would you improve the scenarios of the use case?

How would you improve the consideration of the role of human operators?

Which threats, concerns, and vulnerabilities do you detect or are missing for this use case?

Are you aware of standardisation initiatives or standards relevant to these use cases?

Which requirement would you add to the use cases?

ATM Domain

UC01. ATM – Airspace sectorisation assistant

UC02. ATM – Flow & Airspace management assistant

How would you improve the description of the use case?

How would you improve the scenarios of the use case?

How would you improve the consideration of the role of human operators?

Which threats, concerns, and vulnerabilities do you detect or are missing for this use case?

Are you aware of standardisation initiatives or standards relevant to these use cases?

Which requirement would you add to the use cases?

Personal data requested for registration purposes will only be submitted through INESC TEC's LimeSurvey platform. This data will be processed in strict compliance with the GDPR (General Data Protection Regulation) and other applicable data protection legislation and will be deleted 10 days after the event (Data Controller – INESC TEC (Institute of Systems and Computer Engineering, Technology and Science) – R. Dr. Roberto Frias, Porto). For the exercise of the rights of the data subject (namely access, correction and/or deletion), as well as any questions regarding the processing of your personal data, use the following email address: dpo@inesctec.pt. 

 
Close