SOURCE-LINKED INTELLIGENCE

InnoGuard: Hybrid and Generative Intelligence for Trustworthy Autonomous Cyber-Physical Systems

CORDIS · observation · Publication date unknown

ive Intelligence for Trustworthy Autonomous Cyber-Physical Systems InnoGuard addresses novel challenges imposed by quality assurance of Autonomous Cyber-Physical Systems (ACPS), which have integrated Artificial Intelligence (AI) components. Their use in our daily lives is increasing, such as in public transport systems, highlighting the need for novel, robust development methodologies to ensure their dependability, whose compromise could have severe consequences, as exemplified by various incidents (e.g., accidents caused by Tesla's autopilot system). To ensure ACP dependability, InnoGuard targets developing novel methods for ACPS quality assurance by creating a tailored training program for Early-Stage Researchers (ESRs), with scientific objectives including methods to automate ACPS quality assessment and behavior evolution using AI techniques and enhancing ACPS dependability through real-time security, privacy, and uncertainty handling solutions. Additionally, InnoGuard seeks to improve the trustworthiness of AI methods, enhance environmental sustainability by increasing the energ

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recordType

award

status

SIGNED

region

EU

value

3220718.4

unit

EUR