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 are available in the technologies page.
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...
Presentation at Smart City Expo World Congress: Safe and Trustworthy AI in critical systems (automotive and rail)
On 9 November 2023, SAFEXPLAIN coordinator, Jaume Abella from the Barcelona Supercomputing Center will be presenting at the 2023 Smart City Expo World Congress in Barcelona, Spain. The presentation, Safe and Trustworthy AI in critical systems (automotive and rail)...
SAFEXPLAIN SILVER SPONSOR of the AI, Data and Robotics Forum
On 8-9 November 2023, the SAFEXPLAIN project participated in the 2023 AI, Data, Robotics Forum as a silver sponsor. BSC partners Francisco J. Cazorla and Axel Brando presented the SAFEXPLAIN project during the poster session and gave a brief talk to AI experts. ...
European Research Night – European project corner
More than 300 cities in 30 European countries celebrated European Research Night this year. This EU-funded initiative seeks to share research, innovation and results with a variety of audiences. SAFEXPLAIN participated in the Barcelona online edition of this event. As...