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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
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