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As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI

Research article (BMC Medical Informatics and Decision Making, 2020) · cited 49× · AI/ML
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As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI

Summary

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI is a scholarly article[1].

Key Facts

  • As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI's instance of is recorded as scholarly article[2].

Related Entities

Federico Cabitza

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI. Retrieved May 24, 2026, from https://4ort.xyz/entity/as-if-sand-were-stone-new-concepts-and-metrics-to-probe-the-ground-on-which-to-build-trustable-ai
MLA “As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/as-if-sand-were-stone-new-concepts-and-metrics-to-probe-the-ground-on-which-to-build-trustable-ai.
BibTeX @misc{4ortxyz_as-if-sand-were-stone-new-concepts-and-metrics-to-probe-the-ground-on-which-to-build-trustable-ai_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI}}, year = {2026}, url = {https://4ort.xyz/entity/as-if-sand-were-stone-new-concepts-and-metrics-to-probe-the-ground-on-which-to-build-trustable-ai}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI — https://4ort.xyz/entity/as-if-sand-were-stone-new-concepts-and-metrics-to-probe-the-ground-on-which-to-build-trustable-ai (retrieved 2026-05-24)

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