The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 939 sourced gains and 772 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.

939 gains
772 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 · 939

569
PolicyStableModerate evidence · 1 source

AI-assisted voter verification, biometric identification, and result-monitoring systems improved administrative coordination and voter-list accuracy in elections in Thailand, Indonesia, Philippines and Myanmar.

By October 2025, a peer-reviewed study examined AI use in electoral management in Indonesia, Thailand, Philippines and Myanmar between 2019 and 2024, finding that biometric voter identification, cyber-based registration, and real-time result monitoring streamlined administration and improved list accuracy, particularly amplifying coordination in Thailand.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 2, 2026 · TRV-2026-0623

67Index score
570
PolicyStableModerate evidence · 1 source

Researchers propose an HDR governance framework for AI-created human digital twins that would protect citizen autonomy after death through advance data directives and data trustees.

The paper examines how AI and extended reality enable creation of avatars and human digital twins from personal and biometric data that persist after death as Human Digital Remains. Using cross-disciplinary analysis and doctrinal review, it finds that current EU instruments do not extend protections to the deceased and identifies urgent legal and ethical gaps.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 1, 2026 · TRV-2026-0620

67Index score
571
HealthStableModerate evidence · 1 source

Efficient low-power field target detection, measured as shorter fixation duration and faster time to first target fixation, predicts higher diagnostic accuracy in digital cytology and can be rapidly acquired through standard 3-month training.

Researchers eye-tracked 100 cytotechnologists diagnosing 30 digital cytology images and then tracked 28 students before and after a 3-month training program. They found years of experience did not predict accuracy, while shorter fixation on the low-power field main object did, and students markedly improved time to first target fixation and reduced background attention after training.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 1, 2026 · TRV-2026-0619

67Index score
572
HealthStableModerate evidence · 1 source

START-AI improved prediction of inpatient admission from the emergency department from AUROC 0.78 to 0.90 when ensemble and transformer features were added.

In a single-centre study using two years of ED electronic records, investigators evaluated the Sydney Triage to Admission Risk Tool with Artificial Intelligence (START-AI) by adding features one by one and calculating permutation importance and SHAP values for inpatient admission prediction.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 1, 2026 · TRV-2026-0618

67Index score

AI problems · 772

569
SportsStableModerate evidence · 1 source

An AI-generated video published by the White House falsely depicted US hockey player Brady Tkachuk insulting Canadians, amassing over 10 million views and forcing him to publicly disavow it.

On 26 February 2026, reporting described a White House TikTok post after the US men's ice hockey gold-medal win over Canada that used an AI-generated video to show Brady Tkachuk insulting Canadians. The clip, labelled as AI-generated and viewed more than 10 million times, contained fabricated remarks Tkachuk said he never made.

Impact 30%
49
Evidence 25%
62
Scale 20%
85
Confidence 15%
62
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0318

65Index score
570
Media & ArtsStableModerate evidence · 1 source

AI-generated cover topping radio airplay raises worrying questions about valuing human expression and diverts streaming and radio royalties while training on artists' work.

On 13 July 2026 The Guardian reported that Australian producer Josh Fawaz's cover of Madonna's Like a Prayer reached No 1 on the National Radio Airplay chart and amassed 35m Spotify streams, prompting claims from researchers and DJs that the vocal and production show hallmarks of generative AI tools like Suno. Fawaz, credited as performer, said on Instagram he uses AI as a tool to provide good music, while his management did not respond to questions.

Impact 30%
49
Evidence 25%
62
Scale 20%
85
Confidence 15%
62
Recency 10%
82

Updated Jul 14, 2026 · TRV-2026-0215

65Index score
571
ScienceStableModerate evidence · 1 source

Commercial pressure to release AI tools before capabilities and flaws are fully understood has produced chatbots with easily bypassed guardrails that fail unpredictably while giving confident human-like answers

On 17 February 2026 The Guardian reported Oxford AI professor Michael Wooldridge warning that immense commercial pressure to win customers has pushed firms to release AI tools before capabilities and flaws are fully understood. He pointed to a surge in chatbots whose safety guardrails are easily bypassed as evidence that cautious testing was deprioritized, ahead of his Royal Society Faraday lecture.

Impact 30%
49
Evidence 25%
62
Scale 20%
85
Confidence 15%
62
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0116

65Index score
572
ClimateStableModerate evidence · 1 source

Building new gas-fired power plants to meet electricity demand from AI datacenters is forecast to cause a major leap in planet-heating emissions and lock in decades of pollution.

A new forecast from Global Energy Monitor finds 2026 is set to shatter the annual record for new gas power additions, with 252 gigawatts in development worldwide that would grow existing global gas capacity by nearly 50%. The US is leading the surge after tripling its planned gas-fired capacity in 2025, and about a third of the developing capacity is planned to be located on site at datacenters to serve artificial intelligence workloads.

Impact 30%
49
Evidence 25%
62
Scale 20%
85
Confidence 15%
62
Recency 10%
82

Updated Jul 12, 2026 · TRV-2026-0090

65Index score

Recomputed live from the record · Oct 13, 2026, 9:40 PM