Displaying 4 resources
Video/Webinars Video/Webinars

Explainable AI for systems with functional safety requirements

Explainable AI (XAI) is vital for making AI decision-making processes transparent and understandable to human experts, and for ensuring safety and regulatory compliance.

Category
Certification and Compliance, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

Towards functional safety management for AI-based critical systems

The webinar provides attendees with a comprehensive understanding of the challenges and opportunities associated with integrating AI into safety-critical systems.

Category
Real-time context aware decision making, Certification and Compliance, Standards, Trustworthiness
Target audience
Private Sector, Researchers and Academic
Source
Adra-e
White paper White paper

Position paper on AI for the operation of critical energy and mobility network infrastructures

This position paper outlines AI4REALNET’s approach to applying AI in network infrastructure operations, translating application needs into algorithmic proposals for effective human-AI collaboration in decision-making processes.

Category
Action and Interaction Technologies, Real-time context aware decision making, Experiment and Deployment, Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Reasoning and decision-making Technologies, Hybrid Decision Making, Reasoning Techniques, Trustworthiness, Systems, methodologies, hardware, and tools, Support tools, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

Augmentation-free unsupervised approach for point clouds

Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods.

Category
Reasoning Techniques
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e