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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.

1,699 results
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AI gains · 929

41
PolicyStableModerate evidence · 1 source

Regulatory guidance enables safe and effective use of AI tools in medicine development and evaluation across the medicine lifecycle.

On 2026-08-13, a peer-reviewed article reported a European-wide survey to set regulatory science research priorities for AI use in the medicine lifecycle. Authors developed 28 research questions across seven domains and collected 273 responses from regulators, industry, patients and consumers, academics, and healthcare professionals, finding convergence in rankings across groups.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
89

Updated Aug 15, 2026 · TRV-2026-0772

77Index score
42
HealthStableModerate evidence · 1 source

Systematic review found AI and machine learning may improve mortality prediction after road traffic crashes by modelling non-linear patterns among demographic, clinical and crash factors.

A systematic review published 7 August 2026 examined 18 retrospective studies from 2014-2025 that used AI or machine learning to predict death after road traffic crashes, drawing mostly on national or regional databases, hospital records, and police or insurance tabular data.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
88

Updated Aug 10, 2026 · TRV-2026-0729

77Index score
43
Media & ArtsStableModerate evidence · 1 source

The sensor-driven LSTM system behind 1 the Road demonstrated an ability to generate locally fluent text with occasionally striking word combinations in selected passages.

Published 2026-08-04, this peer-reviewed comparative case study examines passages from George Orwell's Nineteen Eighty-Four and Ross Goodwin's 2018 sensor-driven LSTM book 1 the Road to assess how generative systems handle literary coherence and creative agency.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
88

Updated Aug 8, 2026 · TRV-2026-0694

77Index score
44
HealthStableModerate evidence · 1 source

LightGBM-based model predicted obesity versus normal weight in children aged 3-12 with prior RTIs with high accuracy and AUC, enabling early screening for targeted intervention.

In a study of 6509 children and adolescents aged 3-12 with prior respiratory tract infections in Beijing and Tangshan, researchers developed and compared 12 machine learning models to predict obesity risk, with LightGBM achieving the best reported performance and a deep learning sequence network used to verify the selected features.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
88

Updated Aug 8, 2026 · TRV-2026-0690

77Index score

AI problems · 770

41
ScienceRisingModerate evidence · 1 source

Deepfake creation and dissemination is used as a form of online sexual violence to silence women in public spaces online, reflecting gendered systemic discrimination.

This November 2025 scoping review in Trauma, Violence, & Abuse synthesized literature on deepfakes in gender-based violence. The authors screened thousands of records from mid-2024 and analyzed 64 psychology and social science articles to map how deepfakes are understood as a form of online violence against women.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0457

77Index score
42
ClimateStableModerate evidence · 1 source

AI workloads' environmental impact is growing rapidly but remains hard to quantify because data center operators do not separate AI and non-AI reporting, with AI alone projected to reach 32.6-79.7 million tons CO2 and 312.5-764.6 billion liters of water in 2025.

A December 2025 peer-reviewed article in Patterns examines how to estimate the carbon and water footprints of data centers and AI. It finds that lack of workload-specific reporting forces researchers to approximate AI impacts from general data center metrics, and that company disclosures often do not allow even total performance to be determined.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0433

77Index score
43
HealthStableModerate evidence · 1 source

AI marketing discourses for nursing homes depict older people as passive data sources and care staff as inefficient, reducing complex care to datafication and solutionism

Published December 15 2025, this peer-reviewed discourse study examined how AI for later life is framed by industry. The authors analyzed the websites of 33 AI companies selling robots to chatbots into care (nursing) homes, using concepts of breakdown and repair, delegation, and user representations to identify dominant narratives.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0430

77Index score
44
PolicyStableModerate evidence · 1 source

Organizations attempting to embed generative AI into strategic decision-making struggle to move beyond pilots due to hallucination risks, prompt-engineering deficiencies, data readiness gaps, and privacy or IP concerns.

Researchers conducted a qualitative single-case study of a global multi-brand group to examine how generative AI moves from pilots to routinised inputs in strategic decision-making. Based on 27 executive interviews and document triangulation, they identified enablers and barriers and proposed a four-stage pathway from Awareness and Exploration to Institutionalisation and Transformation with quality, provenance, explainability and accountability gates.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0400

77Index score

Recomputed live from the record · Oct 11, 2026, 4:17 AM