📄

Paper

Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI

by Independent / Community 002e09dad5d5639137d645087dc0ef5628b97d8e

Free2AITools Nexus Index

68.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 82

P: Popularity 58

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Artificial Intelligence has known an incredible development since 2012. It was due to the impressive improvement of sensors, data quality and quantity, storage and computing capacity, etc. The promises AI offered led many scientific domains to implement AI-based decision support tool. However, despite numerous amazing results, very serious failures have raised Human mistrust, fear and scorn against AI. In Industries, staff members cannot afford to use tools that might fail them. This is espec...

Source →

Semantic Scholar 32 Citations

Paper Information Summary
Entity Passport
Registry ID	002e09dad5d5639137d645087dc0ef5628b97d8e
License	ArXiv
Provider	semantic_scholar

📜

Cite this paper

Academic & Research Attribution

BibTeX

@misc{002e09dad5d5639137d645087dc0ef5628b97d8e,
  author = {Unknown},
  title = {Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/002e09dad5d5639137d645087dc0ef5628b97d8e}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI [Paper]. Free2AITools. https://api.semanticscholar.org/002e09dad5d5639137d645087dc0ef5628b97d8e

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 82

Popularity (P) 58

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI: Authority (A:82), Popularity (P:58), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"Artificial Intelligence has known an incredible development since 2012. It was due to the impressive improvement of sensors, data quality and quantity, storage and computing capacity, etc. The promises AI offered led many scientific domains to implement AI-based decision support tool. However, despite numerous amazing results, very serious failures have raised Human mistrust, fear and scorn against AI. In Industries, staff members cannot afford to use tools that might fail them. This is espec..."

❝ Cite Node

@article{Unknown2026Build,
  title={Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈32CitationsSemantic Scholar

🏛️82AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

🏷️ Research Topics

rag retrieval

📦Data Source: semantic_scholar

🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 32

Data indexed from public sources. Updated daily.