The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 929 sourced gains and 770 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.

929 gains

770 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 · 929

HealthStableHigh evidence · 5 sources

Interviewed users reported high engagement with generative AI chatbots like ChatGPT and described positive mental health impacts including improved relationships and healing from trauma and loss.

In a peer-reviewed study published October 27, 2024, researchers interviewed nineteen individuals about using generative AI chatbots like ChatGPT for mental health. Participants described high engagement and meaningful support, organized into themes of emotional sanctuary, insightful guidance about relationships, joy of connection, and comparisons to human therapy.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0353

80Index score

HealthStableHigh evidence · 5 sources

LLM-based conversational agents offer 24/7 availability as a scalable way to help address the mental health treatment gap.

A systematic review of 27 studies including more than 22,000 participants across 12 countries examined barriers and facilitators to using LLM-based conversational agents in mental healthcare. Using CFIR, the authors found 24/7 availability was the most reported facilitator in 26 of 27 studies, while inadequate crisis detection was the most reported barrier in 21 of 27 studies.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0183

80Index score

ScienceRisingHigh evidence · 5 sources

AI-powered voice assistants were found to enhance independence and daily functioning and offer emotional companionship for socially isolated older adults

On 2026-07-09, a systematic review from Aston Publications Explorer synthesized 48 studies on older adults' interactions with AI-powered voice assistants, selected from 109 publications across Scopus, PubMed, and the ACM Digital Library. It identified six key research themes and reported a major finding on the potential for emotional companionship for socially isolated individuals.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0138

80Index score

ScienceStableHigh evidence · 5 sources

In the past decade, the global industry and research attentions on intelligent skin-like electronics have boosted their applications in diverse fields including human healthcare, Internet of Things, human-machine interfaces, artificial intelligence and soft robotics.

In the past decade, the global industry and research attentions on intelligent skin-like electronics have boosted their applications in diverse fields including human healthcare, Internet of Things, human-machine interfaces, artificial intelligence and soft robotics. Among them, flexible humidity sensors play a vital role in noncontact measurements relying on the unique property of rapid response to humidity change.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 83

Updated Jul 12, 2026 · TRV-2026-0062

80Index score

AI problems · 770

HealthStableHigh evidence · 5 sources

Participants emphasized that generative AI chatbots need better safety guardrails and further research is needed on safety and effectiveness for mental health use.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0353

80Index score

HealthStableHigh evidence · 5 sources

LLM-based conversational agents in mental healthcare frequently show inadequate crisis detection, creating critical safety deficiencies.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 85
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0183

80Index score

ScienceNewly addedModerate evidence · 1 source

The same ensemble pipeline showed moderately high false negative rates for floral structures and only 2.9 million of the 11.1 million flower-labeled records had complete metadata necessary for downstream phenology research.

By October 2026, researchers described a machine learning pipeline using an ensemble modeling approach to detect flowers on herbarium specimens, addressing challenges from diverse floral morphologies and variable specimen and image quality. After finding expert-curated training data essential, they applied the model to 22 million filtered records and labeled 11.1 million as having flowers present.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 99

Updated Oct 3, 2026 · TRV-2026-1263

78Index score

EducationNewly addedModerate evidence · 1 source

The same library AI integration raises ethical concerns including algorithmic bias, data privacy breaches, job displacement, spread of misinformation, and increasing digital inequality, with heightened impact in the Global South.

A September 2025 review examined how generative AI is being integrated into library systems worldwide. It found the technology offers new possibilities for improving information access, management, and dissemination, while simultaneously raising ethical concerns such as algorithmic bias, privacy breaches, job displacement, misinformation, and digital inequality.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 98

Updated Oct 2, 2026 · TRV-2026-1251

78Index score

Recomputed live from the record · Oct 11, 2026, 1:36 AM