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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 934 sourced gains and 771 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.

934 gains
771 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 · 934

245
CrimeStableHigh evidence · 5 sources

AI-based defense automates anomaly detection, data analysis and incident response to improve protection efficiency in cyberspace.

By April 2026, a peer-reviewed analysis described AI's growing dual role in cyberspace, where it automates anomaly detection, data analysis and incident response to enhance protection, while also enabling cybercriminals to build advanced phishing, deepfakes and hard-to-detect malware.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0199

70Index score
246
EducationStableHigh evidence · 3 sources

AI-enhanced pedagogical practices were associated with higher mathematical language proficiency, communication and reasoning among senior high school students in Ghana, with digital literacy and learning engagement acting as mediators.

Published May 26, 2026, this peer-reviewed study investigated AI-enhanced pedagogical practices and mathematical language proficiency among 360 senior high school students in Ghana. Using structural equation modeling, it found AEPP, digital literacy, and learning engagement were significant positive predictors of proficiency, with the latter two mediating the relationship.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0180

70Index score
247
LaborStableHigh evidence · 5 sources

Employees who use approach-oriented AI job crafting to expand job boundaries and enhance capabilities report higher career satisfaction and performance through increased work meaningfulness.

A peer-reviewed study published March 24, 2026 tested how employees proactively adapt to generative AI at work. Using surveys of 287 employee-leader dyads in China, the authors distinguished approach-oriented AI job crafting aimed at leveraging AI to expand job boundaries from avoidance-oriented crafting aimed at mitigating negative perceptions of AI.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0177

70Index score
248
ClimateStableHigh evidence · 5 sources

AI readiness was associated with improved national sustainability performance across G20 economies from 2015-2023, with the strongest effect among the three technologies studied.

A peer-reviewed study in Sustainability examined FinTech, AI, and Blockchain adoption across G20 countries between 2015 and 2023 to assess links to Sustainable Development Goal outcomes. Using panel methods and macro controls, it found each technology positively associated with national sustainability performance, with AI showing the strongest effect and coordinated use amplifying gains.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0171

70Index score

AI problems · 771

245
EducationStableModerate evidence · 1 source

AI-based assessment introduces distinct validity threats across scoring, generalisation, extrapolation and implications, including contamination, instability, inequities, automation bias and deskilling when used for consequential learner progression decisions.

A 2026 conceptual review in Medical Education examined how artificial intelligence used to generate, score and interpret assessments affects validity. Using Kane's four inferences, the authors mapped threats such as prompt instability and domain shift and noted that AI assessment is advancing without formal scrutiny comparable to clinical AI.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
94

Updated Sep 9, 2026 · TRV-2026-1026

68Index score
246
HealthStableModerate evidence · 1 source

The auxiliary model cannot replace pathological and molecular diagnosis and relies on tissue-derived IDH and Ki-67 markers, with development limited to a single-center retrospective cohort of 400 patients and internal validation only.

On 2026-09-08, a peer-reviewed study reported development of an integrative clinical-molecular model for glioma malignancy grading using 400 patients from a single-center retrospective cohort. Using LASSO and machine learning, the authors built a Random Forest classifier based on seven predictors including age, KPS, tumor diameter, inflammatory ratios, IDH status and Ki-67, achieving AUC 0.864 in training and 0.820 in validation.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
94

Updated Sep 9, 2026 · TRV-2026-1025

68Index score
247
HealthStableModerate evidence · 1 source

Accuracy and clinical utility of AI-assisted non-contact neonatal heart rate monitoring remain unvalidated for routine implementation pending future multicenter studies.

A systematic review covering January 2013 to June 2025 examined non-contact and AI-assisted neonatal heart rate monitoring versus conventional ECG. It found a progressive shift toward camera-based photoplethysmography, thermal imaging, and AI-enhanced multimodal systems that showed strong correlation with ECG, rapid acquisition, and better robustness to motion and lighting.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
94

Updated Sep 9, 2026 · TRV-2026-1024

68Index score
248
HealthStableModerate evidence · 1 source

Even when incorrect, ChatGPT and Claude produced thorough justifications, creating risk of convincing but wrong guideline-based information, while Gemini showed formatting deviations.

A peer-reviewed study published September 7, 2026 compared three large language models to 10 international hip preservation experts on a 21-item questionnaire derived from consensus guidelines for femoroacetabular impingement, dysplasia and microinstability. Gemini scored 100%, ChatGPT 98.4% and Claude 96.8% versus 90.5% for experts, with models also showing higher intra-item agreement.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 8, 2026 · TRV-2026-1018

68Index score

Recomputed live from the record · Oct 12, 2026, 7:31 AM