Displaying 44 resources

Generative AI and Research Integrity
The article critically reviews the use of generative AI is research.



Towards functional safety management for AI-based critical systems


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

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

Cooperating with machines
Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go).