An ontological approach to foster the convergence, interoperability and operationalization of frameworks for Trustworthy AI
AI systems are consistently evolving in terms of both capability and autonomy with an holistic social impact. In this context of proliferation and fast technological evolution, the scientific community is actively engaged to assure Trustworthy AI. However, in general terms, AI safety research is significantly slower and is facing critical challenges in terms of strategy, consensus and operationalisation. This paper presents AI-Ethics Ontology (AI-EO) which, by leveraging Semantic Technologies on
Record details
Published: 13 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems
arXiv · 13 April 2026
SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving
arXiv · 13 April 2026
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models
arXiv · 12 April 2026
A Framework for Longitudinal Health AI Agents
arXiv · 13 April 2026
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment
arXiv · 13 April 2026
Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?
arXiv · 12 April 2026
How to cite this record
ethics.ai (13 April 2026), “An ontological approach to foster the convergence, interoperability and operationalization of frameworks for Trustworthy AI,” evidence record 5966, https://ethics.ai/record/5966 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.