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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 932 sourced gains and 770 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

932 gains
770 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

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AI gains · 932

765
LaborStableModerate evidence · 1 source

AI use in workforce analytics enables proactive and predictive decision-making about employees.

A peer-reviewed study published May 16, 2026 developed and validated a Triple-Intelligence Framework for workforce analytics that combines AI intelligence for pattern detection, human intelligence for interpretation and ethics, and organizational intelligence for governance, based on a 2017-2025 literature review.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0173

67Index score
766
EducationStableModerate evidence · 1 source

Deployment of Magic Note AI-assisted recording in a Scottish Local Authority social work department provided administrative relief and efficiency for practitioners.

Researchers analyzed baseline evaluation data from the rollout of Magic Note, an AI-assisted recording tool, in a Scottish Local Authority social work department, involving surveys, focus groups and free-text responses from practitioners.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0172

67Index score
767
ClimateStableModerate evidence · 1 source

Hybrid framework using Binary iHow for feature selection and iHow for hyperparameter tuning of a Multi-Scale Attention Network reduced forecasting error for wind and solar generation and improved computational scalability for smart-grid management.

Researchers developed a hybrid deep learning-optimization framework for renewable forecasting that pairs a Multi-Scale Attention Network with cognitively inspired metaheuristics. The Binary iHow algorithm selects features and the continuous iHow algorithm tunes hyperparameters, targeting high-dimensional inputs and sensitivity issues in wind and solar time series.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0168

67Index score
768
ScienceStableModerate evidence · 1 source

Integrating Shuffled Frog Leaping Algorithm optimization with Boosted Trees and QSVM classifiers improved discrimination of argillic, phyllic, propylitic and iron oxide alteration zones from ASTER and Sentinel-2 data, raising AUC and achieving strong field validation.

Researchers developed a metaheuristic-optimized machine learning workflow that integrates Boosted Trees and Quadratic Support Vector Machines with the Shuffled Frog Leaping Algorithm to map hydrothermal alteration from multispectral satellite imagery. Tested in the Shahr-e-Babak district of Iran's Urumieh-Dokhtar Magmatic Belt, the method used ASTER and Sentinel-2 bands to discriminate argillic, phyllic, propylitic and iron oxide zones.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0167

67Index score

AI problems · 770

766
Media & ArtsStableModerate evidence · 1 source

They were a big 00s buzz band – but looked in danger of fading out. Empowered by fatherhood and anger at war and AI, the New Yorkers explain why they ‘really showed up’ again

Machine-ingested summary: the claims above reflect a single primary source and have not been weighed against contradicting evidence by a Truvace editor yet.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
34
Recency 10%
82

Updated Jul 11, 2026 · TRV-2026-0024

51Index score

Recomputed live from the record · Oct 11, 2026, 10:33 AM