TruaceTracing the truth around AIMonday, September 14, 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.

1,404 results
Show filters and sorting

AI gains · 779

67
GainHealth· Stable· Evidence: Moderate (1 source)

Some institutions have begun integrating AI into undergraduate medical curricula as AI use rapidly increases across basic and clinical courses.

A November 2025 scoping review in BMC Medical Education screened 3,238 records and included 310 publications on AI in undergraduate medical education from 2020 to April 2024, finding 52% of the included literature appeared in just eight months after the prior general review. Reported uses span autonomous tutoring, self-assessment, simulation-based learning, assessment generation and grading, clinical assessment, procedural skills evaluation, and predictive analytics in both basic and clinical courses.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0458

67
GainCrime· Stable· Evidence: Moderate (1 source)

LLMs coupled with scalable Big Data pipelines improved detection accuracy and reduced response latency for threat detection and incident response compared with traditional approaches.

As of 4 November 2025, this systematic review synthesized 235 peer-reviewed studies from 2020-2025 on LLMs such as GPT-4 and BERT applied to cybersecurity within Big Data infrastructures. It reported that coupling LLMs with scalable pipelines improved detection accuracy and reduced response latency for tasks including threat detection, incident response, and vulnerability assessment.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0456

67
GainLabor· Stable· Evidence: Moderate (1 source)

Software engineers adopted generative AI tools when the tools were compatible with existing development workflows, based on surveys of engineers in 2024.

In a study published March 28 2024, researchers examined generative AI tool adoption among software engineers using surveys of 100 engineers and validation with 183 engineers, developing and testing the Human-AI Collaboration and Adaptation Framework.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0455

67
GainCrime· Stable· Evidence: Moderate (1 source)

Fine-tuned BiLSTM with transfer learning achieved lower prediction error and faster execution for weekly and monthly crime trends, evaluated on Chicago, New York and Lahore datasets, to support law enforcement prevention and control.

A PLOS ONE study from April 2024 proposed a transfer learning system for crime prediction that fine-tunes a BiLSTM model and applies knowledge learned in one neighbourhood to another, aiming to overcome limited crime data and training resources. It was evaluated on crime datasets from Chicago, New York and Lahore against SMA, WMA, EMA, LSTM, BiLSTM and CNN-LSTM baselines.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0453

AI problems · 625

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

AI-generated tracks reaching streaming services and charts have used tools trained on artists' music without consent and are often linked to fraud and streaming or chart manipulation, prompting calls for disqualification.

In June 2026, rapper Fenix Flexin released Rubberz, an 80s-inspired synth-pop single that climbed to No 58 on the Billboard Hot 100 with more than 35m Spotify streams. After skeptics noted its uncanny quality, producer Medasin demonstrated Treblo could recreate a near-identical track, and Fenix later admitted using AI, while Trebloe28099s own classifier flagged it as very likely Treblo-generated.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%96

Updated Aug 25, 2026 · TRV-2026-0872

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

Sharing vast trove of Ukraine military data with private companies and using AI fibre-optic sensors to identify protesters at UK sites is likely to raise alarm among privacy campaigners about surveillance of protest activity.

On 24 August 2026 The Guardian reported that the UK will train AI models on Ukrainian battlefield data from Ukraine's Avengers AI lab under a London-Kyiv deal. The scheme will be piloted at a UK defence site using AI-optimised sensors in buried fibre-optic cables to detect movement, with private firms Sintela, Mind Foundry and Skyral approved to access the data on a secure MoD platform.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%96

Updated Aug 25, 2026 · TRV-2026-0871

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

‘Was I scared going back to China? No’: Ai Weiwei on AI, western censorship and returning home: For most people, returning home doesn’t involve weighing up the risk of whether you’ll see close family ever again, but that’s the reality for a 68-year-old whose whole existence has been shaped by authoritarianism and the struggle against it.

Ai Weiwei is talking me through the decision-making process before his first visit to China in over a decade. The artist, known around the world as the most famous critic of the Chinese communist regime, had to do some fraught arithmetic before deciding to head back home.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%95

Updated Aug 21, 2026 · TRV-2026-0840

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

AI models used in military aircraft design can hallucinate and generate content that defies basic physics, design principles and operational constraints, risking unworkable or unsafe fighter jet concepts.

On August 19, 2026, designers linked to China's J-36 fighter jet program reported a danger from military AI hallucinations, stating that content generated by AI models can defy basic physics, design principles or operational constraints.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%95

Updated Aug 20, 2026 · TRV-2026-0838

Recomputed live from the record · Sep 15, 2026, 1:19 AM