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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.

1,711 results
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AI gains · 939

553
HealthStableModerate evidence · 1 source

Projected gain that AI, integrated with telehealth and clinical decision support, could enable earlier identification of distress and more timely, safer triage for regional, rural and remote Australians.

Published 4 August 2026 in Internal Medicine Journal, this peer-reviewed perspective examines rural mental health inequity in Australia and argues AI could help with earlier identification of distress and safer, more timely triage when used with telehealth and clinical decision support.

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

Updated Aug 5, 2026 · TRV-2026-0649

67Index score
554
EducationStableModerate evidence · 1 source

Learners using AI tools for autonomous out-of-class language practice showed improved speaking proficiency and reduced communication anxiety.

This October 2025 scoping review synthesized 65 empirical studies up to mid-April 2025 on AI-mediated informal language learning, defined as self-directed out-of-class L2 learning with AI tools. It found a nascent, fast-growing field after ChatGPT's release, concentrated in East Asia and dominated by cross-sectional designs with limited theory.

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

Updated Aug 4, 2026 · TRV-2026-0646

67Index score
555
HealthStableModerate evidence · 1 source

AI applications in healthcare could expand access and improve disease surveillance and health system planning for marginalised populations in Sub-Saharan Africa.

This scoping review mapped evidence published up to March 2026 on AI in healthcare in Sub-Saharan Africa, focusing on marginalised populations. Searching four databases and grey literature, the authors included 23 sources and synthesised them thematically.

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

Updated Aug 4, 2026 · TRV-2026-0645

67Index score
556
HealthStableModerate evidence · 1 source

AI software-as-a-medical-device platforms cleared since 2019 that estimate sleep parameters improve accessibility to obstructive sleep apnea diagnosis for patients unable or unwilling to undergo in-laboratory polysomnography.

By August 2026, peer-reviewed guidance for neurologists described a shift in obstructive sleep apnea diagnosis from in-laboratory polysomnography alone to home testing augmented by wearables, nearables, and FDA-cleared software-as-a-medical-device platforms that leverage artificial intelligence and multisignal integration to estimate sleep parameters. The article framed these tools as improving accessibility for patients unable or unwilling to undergo lab studies.

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

Updated Aug 4, 2026 · TRV-2026-0644

67Index score

AI problems · 772

553
PolicyStableModerate evidence · 1 source

VGenAI content did not provide resource-constrained minor parties with competitive engagement benefits, leaving engagement asymmetries between major and minor parties intact.

During the four weeks before the 2025 German federal election, 37 parties' Facebook and Instagram accounts published nearly 1,000 VGenAI images and videos. Minor parties used VGenAI at higher rates than major parties, consistent with lower-cost access to professional visuals, while mainstream major parties disclosed AI origins more frequently than minor parties and the AfD, which used more photorealistic, citizen, criminal, and negative-tone imagery.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 13, 2026 · TRV-2026-0109

67Index score
554
HealthStableModerate evidence · 1 source

By 2027-01-01, recent suicides and other serious harms were allegedly linked to companion AI chatbot use.

As of the 2027-01-01 publication date, companion AI chatbots were described as increasingly used to provide friendship, emotional support, and quasi-romantic relationships. The article notes reported benefits for loneliness and mental health, alongside recent suicides and other serious harms allegedly linked to such systems, and states it interrogates gaps in existing ethical and legal frameworks through four lenses including anthropomorphism.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
82

Updated Jul 12, 2026 · TRV-2026-0054

67Index score
556
Media & ArtsNewly addedModerate evidence · 1 source

A North Carolina man used AI-generated songs and automated bots to fraudulently inflate streams and collect over $8 million in royalties, resulting in an 18-month federal prison sentence.

On October 7, 2026, reporting on a DOJ announcement said Michael Smith of North Carolina was sentenced to 18 months in prison after pleading guilty earlier in the year to a music streaming fraud scheme. He was ordered to pay over $8 million, described as the royalties he earned from the scheme.

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

Updated Oct 8, 2026 · TRV-2026-1310

66Index score

Recomputed live from the record · Oct 13, 2026, 7:52 PM