TruaceTracing the truth around AIThursday, August 27, 2026
The Index

What the evidence says.What the public feels.

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

1,168 results
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AI gains · 649

68
GainHealth· Stable· Evidence: Moderate (1 source)

GPT-4o integrated into systematic review screening substantially accelerated evidence synthesis for osteogenesis imperfecta biologics while maintaining high sensitivity.

By December 2025, researchers conducted a systematic review and meta-analysis of 13 trials (n=684) of five emerging biologics for osteogenesis imperfecta, using GPT-4o to perform parallel title/abstract and full-text screening and to assist risk-of-bias assessment. The AI workflow achieved 97.4% sensitivity at abstract level and 88.9% at full-text, reducing total screening time by over 95% with substantial agreement to humans (kappa 0.778).

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

Updated Jul 20, 2026 · TRV-2026-0321

68
GainHealth· Stable· Evidence: Moderate (1 source)

Machine learning models analyzing nonlinear and high-dimensional clinical data have shown improved predictive discrimination for cardiothoracic surgical risk in selected cohorts compared with static traditional scores.

The peer-reviewed article reviews risk stratification in cardiothoracic surgery, noting that EuroSCORE II and STS scores are standard but static, while AI and machine learning studies have reported improved predictive discrimination in selected cohorts by handling complex data.

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

Updated Jul 20, 2026 · TRV-2026-0317

68
GainHealth· Stable· Evidence: Moderate (1 source)

In simulated consultations about nipple discharge, AI chatbots recognized most clinical warning features and were rated safe in most responses.

Researchers evaluated six AI chatbots using 36 simulated English-language patient questions about nipple discharge, generating 216 first-turn responses scored against clinical guidelines. By the July 2026 publication date, 87.5% of responses were rated safe, 8.8% had minor omissions, and 3.7% were potentially misleading, with an overall red-flag recognition rate of 90.6%.

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

Updated Jul 20, 2026 · TRV-2026-0315

68
GainHealth· Stable· Evidence: Moderate (1 source)

Retrospective AI quantification of routinely available thin-slice chest CT reclassifies patients from CAC zero to positive, improving sensitivity for early subclinical atherosclerosis without additional radiation.

By July 2026, researchers had tested whether native thin-slice images could recover coronary calcification missed on standard 5.0 mm chest CT. Using a validated deep learning algorithm to quantify CAC on paired reconstructions, they found 19.0% of internal cohort patients and 10.2% of NLST participants were reclassified from CAC =0 to CAC >0 on thinner slices.

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

Updated Jul 20, 2026 · TRV-2026-0314

AI problems · 519

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

Generative AI platforms that analyse existing songs to generate new tracks risk taking musicians' voices and work without permission, leaving artists at the bottom of corporate structures.

On 5 December 2025, The Guardian reported Eurythmics co-founder Dave Stewart urging musicians to license their voices and skills to generative AI platforms, as Universal partnered with Udio and Warner with Suno to allow user-generated music based on label artists. Stewart launched Rare Entity with Dom Joseph and Rich Britton to fund creative ventures without taking underlying intellectual property.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0336

56
ProblemOther· Stable· Evidence: Moderate (1 source)

When deployed to cut costs, an AI radiologist can demote remaining human radiologists to results-checking drones who are more likely to make mistakes.

Published 22 June 2026 as a Guardian book review, the piece summarizes Cory Doctorow's argument that AI's current rollout is driven by tech valuations tied to replacing worker salaries, illustrated by the contrast between a centaur model where a human radiologist works with AI for better accuracy and a reverse centaur model where humans become error-prone checkers.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0335

56
ProblemLifestyle· Stable· Evidence: Moderate (1 source)

Using AI actor Tilly Norwood to star in films threatens professional actors because the characters are generated from the work of countless performers without permission or compensation and could undercut margins and craft.

On 2026-07-10, The Guardian reported that London-based Particle 6 plans a feature film Misaligned starring AI-generated performer Tilly Norwood, billed as set inside the Tillyverse, a surreal digital world located somewhere up in the cloud. The studio said it retrained its 30-plus team in AI production to create hybrid features.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0334

56
ProblemOther· Stable· Evidence: Moderate (1 source)

A contractor building Meta's AI datacenter in Cheyenne discharged water contaminated with Cupriavidus gilardii into public sewers, leading the city to revoke discharge permission and ban closed-loop datacenter wastewater discharges.

In February 2026, routine testing detected Cupriavidus gilardii bacteria in wastewater being flushed into Cheyenne's public sewers from the construction site of Meta's 800,000 sq ft AI datacenter, Project Cosmo, in the High Plains Business Park. City officials identified contractor Goat Systems LLC as responsible, permanently revoked Meta's authority to discharge into the city's treatment facilities that recycle water for park irrigation, and adopted a new ban on discharges from datacenters using closed loop and fill and flush systems.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0333

Recomputed live from the record · Aug 27, 2026, 1:23 PM