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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
Case studies Case studies

Application of the ALTAI tool to power grids, railway network and air traffic management

This document presents the responses from industry (operators of critical infrastructures) to the Assessment List for Trustworthy AI (ALTAI) questionnaire for three domains and specific use cases: power grid, railway network, and air traffic manageme
Category
Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector
Source
Adra-e
Certification Certification

ALIGNER Fundamental Rights Impact Assessment

Artificial intelligence can enhance law enforcement agencies’ capabilities to prevent, investigate, detect and prosecute crimes, as well as to predict and anticipate them.
Category
Action and Interaction Technologies, Edge-based AI, Multi-modal interaction, Real-time context aware decision making, Semantic knowledge, Sensing of motion and mechanical properties, Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Understanding of the fundamental rights and values, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Reasoning and decision-making Technologies, Hybrid Decision Making, Reasoning Techniques, Trustworthiness, Sensing and perception technologies, Architecture of sensing and perception systems, Meta-data contexts, Sensing and processing methods, Systems, methodologies, hardware, and tools, Support tools, System architectures, Technology methodologies and landscape
Target audience
Public Sector
Source
Adra-e