Making certifiable AI a reality for critical systems

Pursuing a holistic approach to safe and explainable AI-based autonomous systems

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Final Event

TRUSTWORTHY AI IN SAFETY-CRITICAL SYSTEMS

Overcoming adoption barriers

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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.

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APPLICATIONS IN SPACE, AUTOMOTIVE AND RAIL DOMAINS

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

EV community at Innovex 24 welcomes presentation by SAFEXPLAIN

EV community at Innovex 24 welcomes presentation by SAFEXPLAIN

SAFEXPLAIN partner, Carlo Donzella from exida development, opens EV session with key note on "Enabling the Future of EV with TrustworthyAI" June 6, 2024 marked an important opportunity for the SAFEXPLAIN project to share project results with key audiences from the...