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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.

1,702 results
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AI gains · 932

737
EducationStableModerate evidence · 1 source

Den-SOFA predicted pass/fail on restorative dentistry exit exams with AUC-ROC 0.906 and accuracy 0.86 using 26 academic and demographic variables from 96 students.

On 2026-07-16, a peer-reviewed study described Den-SOFA, an explainable machine learning framework tested as a proof-of-concept to forecast restorative dentistry exit examination outcomes from 26 academic and demographic variables for 96 dental students across five models.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 18, 2026 · TRV-2026-0259

67Index score
738
HealthStableModerate evidence · 1 source

AI-assisted caries annotation increased dental students' diagnostic accuracy, sensitivity, and confidence while reducing interpretation time on panoramic radiographs.

In a study published July 16, 2026, 40 fourth-year dental students interpreted 40 panoramic radiographs first without assistance and then one month later with AI-assisted caries annotation. The radiographs contained multistage lesions verified by bite-wing radiographs, and students recorded lesion location, depth, time, and confidence.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 18, 2026 · TRV-2026-0258

67Index score
739
HealthStableModerate evidence · 1 source

ML and DL analysis of imaging, genetics, and behavioral data can improve early identification and diagnostic accuracy for conditions like depression, bipolar disorder, and schizophrenia.

A June 2026 review in Journal of Affective Disorders Reports surveyed ML and DL methods for early identification, diagnosis, and treatment of mental health illnesses, covering medical imaging, genetic and biomarker analysis, behavioral assessments, and longitudinal risk prediction models.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0255

67Index score
740
PolicyStableModerate evidence · 1 source

VSCS framework enables community members to act as co-researchers and translate local values into technical requirements for AI systems.

On 2026-07-02, a peer-reviewed paper in AI & SOCIETY introduced Value-Sensitive Citizen Science (VSCS), a framework that combines Value-Sensitive Design with citizen science to involve community members as co-researchers in AI development. It uses the Participatory Value-Cognition Taxonomy and extended scenario reasoning to translate local values into technical requirements and embeds governance for lifecycle oversight.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 17, 2026 · TRV-2026-0253

67Index score

AI problems · 770

737
Media & ArtsStableModerate evidence · 1 source

Creating an AI version of a real exiled Uyghur man to speak for him is presented as patronising, and the film omits how an actor's face was obtained and transformed into an AI figure.

On 14 July 2026 The Guardian reviewed Marc Isaacs' docudrama hybrid Synthetic Sincerity, in which Isaacs pretends to license characters from his earlier documentaries to a fictional AI lab at the fictional University of Southern England to train software to create AI human figures, including an AI avatar modelled on actor Ilinca Manolache and an AI version of London restaurateur Ablikim Rahman.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 15, 2026 · TRV-2026-0221

55Index score
738
LifestyleStableModerate evidence · 1 source

AI-enhanced listings misrepresent size, condition and layout, leading buyers to waste time viewing homes that do not match the photos.

On 8 July 2026 The Guardian reported on 'housefishing', the growing use of AI to enhance estate agent listings with fake dusk skies, added furniture and cleaned-up rooms. Examples included a south London Winkworth listing flagged on Reddit for removing a chimney breast in images, and a Maidenhead house listed at £635,000 where AI-added bedroom furniture could not physically fit.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 14, 2026 · TRV-2026-0216

55Index score
739
BusinessStableModerate evidence · 1 source

Americans report concern that their 401(k) retirement savings are becoming involuntarily tied to SpaceX and other AI-focused companies through S&P 500 index funds, raising fears about inequality, market instability, and sustainability of the AI boom.

In June 2026 after SpaceX's $1.77tn IPO made Elon Musk the world's first trillionaire, The Guardian reported that millions of Americans could become indirect investors in SpaceX and other AI-focused firms because 401(k) retirement plans are heavily invested in index funds tracking major market indices, with Musk pushing for early inclusion.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 14, 2026 · TRV-2026-0214

55Index score
740
PolicyStableModerate evidence · 1 source

The AI edit of the campaign photo produced distorted hands, garbled sign text, and smeared faces.

After Richard Tice posted a photo of an apparent Reform campaign event, critics pointed to five types of artifacts suggesting AI manipulation, including extra fingers, garbled placard text, smeared faces, pixel-perfect railings and geometric concrete, and a floating sign. Reform UK said the underlying photograph is real and that the posted version was slightly edited using AI mainly to increase brightness.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0118

55Index score

Recomputed live from the record · Oct 11, 2026, 1:27 PM