TruaceTracing the truth around AITuesday, September 15, 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
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AI gains · 779

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

A machine-learning derived weighted score from 18 cfDNA 5hmC-modified genes at diagnosis predicted overall and progression-free survival in newly diagnosed multiple myeloma after adjusting for stage and other clinical factors.

In a prospective study of 321 patients with newly diagnosed multiple myeloma enrolled between 2010 and 2017, investigators measured 5-hydroxymethylcytosine modifications in cell-free DNA collected at diagnosis and built an 18-gene weighted prognostic score using elastic net Cox modeling and machine learning.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%90

Updated Jul 24, 2026 · TRV-2026-0554

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

Bibliometric synthesis reports that automation in accounting enhances efficiency, accuracy, and reliability.

This peer-reviewed bibliometric study examined the literature on digital, automated, and AI-assisted accounting systems using Web of Science and Scopus records. It found that scientific output has increased since 2018, with emphasis on artificial intelligence, robotic process automation, and blockchain, and mapped trends from early information systems to current themes of digital transformation and intelligent decision-making.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%90

Updated Jul 24, 2026 · TRV-2026-0552

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

STANDING Together consensus recommendations provide guidance for documenting health datasets and for using them to identify and mitigate algorithmic biases, aiming to support AI health technologies that are safe and effective across population groups.

On Dec 18, 2024, The Lancet Digital Health published the STANDING Together consensus recommendations, developed through a systematic review, stakeholder survey, Delphi process with 194 voters from 25 countries, public consultation, and international interviews involving over 350 representatives from 58 countries. The process produced 29 recommendations in two parts covering documentation of health datasets and use of health datasets.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%90

Updated Jul 24, 2026 · TRV-2026-0551

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

Learners supported by ChatGPT showed higher short-term essay score improvement compared to other support conditions.

In a December 2024 randomized lab experiment, 117 university students completed a writing task with support from ChatGPT, a human expert, analytics tools, or no extra support. Researchers measured intrinsic motivation, self-regulated learning processes, and performance, finding no motivation differences but different process patterns and higher essay score gains for the ChatGPT group without higher knowledge gain or transfer.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%90

Updated Jul 24, 2026 · TRV-2026-0548

AI problems · 625

66
ProblemBusiness· Newly added· Evidence: Moderate (1 source)

Tesla's deployment of wheel-free Cybercabs on Austin streets triggered an immediate federal safety probe.

On September 4, 2026, TechStartups reported a cluster of AI developments: OpenAI released GPT-6 Astra and declared the AGI era, Tesla put wheel-free Cybercabs on Austin streets and drew a federal safety probe, Crusoe reached a $30 billion valuation, and Congress moved to inventory rogue AI agents.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%99

Updated Sep 9, 2026 · TRV-2026-1021

66
ProblemPolicy· Stable· Evidence: Moderate (1 source)

Frontier AI models with growing autonomy and threat capabilities could materially alter cyber-risk and destabilize the highly interconnected global financial system.

On 31 August 2026, Bank of England governor Andrew Bailey, writing as chair of the Financial Stability Board, warned G20 finance ministers and central bank governors that frontier AI models are showing sophisticated autonomy and threat capabilities that could destabilize the global financial system through cyber-disruption spreading across jurisdictions.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%97

Updated Aug 31, 2026 · TRV-2026-0929

66
ProblemClimate· Stable· Evidence: Moderate (1 source)

AI datacenter boom is driving a surge in US gas-fired power development that risks locking in decades of pollution and raising power-sector emissions.

In the first half of 2026 the US overtook China in new gas-fired power construction, driven largely by proposals for AI datacenters. According to Global Energy Monitor, US projects under construction jumped 76%, putting the US at twice China's level, with total gas capacity in development rising to 378GW.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%96

Updated Aug 26, 2026 · TRV-2026-0884

66
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

AI models pilfer and profit from News Corp journalism, flooding users with low-quality AI slop without compensation.

News Corp reported full-year results on Thursday showing a small decline in Australian digital subscriptions to 1,162,000, alongside mixed advertising and costs for the new California Post. Chief executive Robert Thomson used the results to criticize AI models for using the company's journalism without adequate payment.

Impact 30%49
Evidence 25%62
Scale 20%85
Confidence 15%62
Recency 10%93

Updated Aug 9, 2026 · TRV-2026-0707

Recomputed live from the record · Sep 15, 2026, 6:11 AM