SAFEXPLAIN: From Vision to Reality
AI Robustness & Safety
Explainable AI
Compliance & Standards
Safety Critical Applications
THE CHALLENGE: SAFE AI-BASED CRITICAL SYSTEMS
- Today’s AI allows advanced functions to run on high performance machines, but its “black‑box” decision‑making is still a challenge for automotive, rail, space and other safety‑critical applications where failure or malfunction may result in severe harm.
- Machine- and deep‑learning solutions running on high‑performance hardware enable true autonomy, but until they become explainable, traceable and verifiable, they can’t be trusted in safety-critical systems.
- Each sector enforces its own rigorous safety standards to ensure the technology used is safe (Space- ECSS, Automotive- ISO26262/ ISO21448/ ISO8800, Rail-EN 50126/8), and AI must also meet these functional safety requirements.
MAKING CERTIFIABLE AI A REALITY
Our next-generation open software platform is designed to make AI explainable, and to make systems where AI is integrated compliant with safety standards. This technology bridges the gap between cutting-edge AI capabilities and the rigorous demands for safety-crtical environments. By joining experts on AI robustness, explainable AI, functional safety and system design, and testing their solutions in safety critical applications in space, automotive and rail domains, we’re making sure we’re contribuiting to trustworthy and reliable AI.
Key activities:
SAFEXPLAIN is enabling the use of AI in safety-critical system by closing the gap between AI capabilities and functional safety requirements.
See SAFEXPLAIN technology in action
CORE DEMO
The Core Demo is built on a flexible skeleton of replaceable building blocks for Interference, Supervision or Diagnoistic components that allow it to be adapted to different secnarios. Full domain-specific demos will be available at our final event.
SPACE
Mission autonomy and AI to enable fully autonomous operations during space missions
Specific activities: Identify the target, estimate its pose, and monitor the agent position, to signal potential drifts, sensor faults, etc
Use of AI: Decision ensemble
AUTOMOTIVE
Advanced methods and procedures to enable self-driving carrs to accurately detect road users and predict their trajectory
Specific activities: Validate the system’s capacity to detect pedestrians, issue warnings, and perform emergency braking
Use of AI: Decision Function (mainly visualization oriented)
RAIL
Review of the viability of a safety architectural pattern for the completely autonomous operation of trains
Specific activities: Validate the system’s capacity to detect obstacles, issue warnings, and perform service braking
Use of AI: Data-quality and temporal consistency scores
Second IAB Meeting Confirms SAFEXPLAIN Advancements at Start of Year 3
The SAFEXPLAIN project met with members of its industrial advisory board on 03 October 2024 to present project advancements at the beginning of the project’s third and final year. This meeting was important for ensuring the project’s research outcomes align with real-world industry needs.
RISE explains XAI for systems with Functional Safety Requirements
The SAFEXPLAIN project is analysing how DL can be made dependable, i.e., functionally assured in critical systems like cars, trains and satellites. Together with other consortium members, RISE has been working on establishing principles for ensuring that DL components, together with required explainable AI supports, comply with the guidelines set forth by AI-FSM and the safety pattern(s).
High interest in SAFEXPLAIN tech @ Gate4SPICE INTACS event
The SAFEXPLAIN keynote at the INTACS event “Optimal Performance of Modern Development: Automotive SPICE® Fusion with Intelligent Systems and Agile Frameworks” hosted by SEITech Solutions GmbH as part of the Gate4SPICE was extremely well-received by attendees. The...
BSC talks Functional Safety at UPC Automotive Embedded Systems course
First slide of training course module given by SAFEXPLAIN coordinator, Jaume Abella and co-presenter Roger Marsal The Technical Unversity of Catalunya hosted a course on "Automotive Embedded Systems" directed at Master´s students coming from the disciplines of...
Exida Development SRL Invited to Speak at InnoVEX 2024
SAFEXPLAIN partner, Carlo Donzella, from Exida Development SRL, has been invited to deliver the first keynote speech of the EV Era Forum session, as part of the 2024 InnoVEX Startup Exhibition, the Innovation Hub of Asia. The event will take place from 4-7 June 2024....
SAFEAI Workshop at 2024 Ada-Europe Conference
SAFEXPLAIN project partners will participate in the 28th Ada-Europe International Conference on Reliable Software Technologies. This conference represents a leading international forum for providers, practitioners, and researchers in reliable software technologies....