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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 932 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.

932 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 · 932

775
PolicyStableModerate evidence · 1 source

Authors derive a two-tier structure of auditable design constraints that operationalizes ethical principles for AI-mediated afterlife systems, providing a concrete bridge to governance.

As of the June 2026 publication date, the authors describe a rapid proliferation of AI-mediated digital afterlife technologies and a growing ethical literature on their risks, without a matching operational framework. They propose a nine-dimensional taxonomy and a two-tier constraint model where consent, fidelity/disclosure, and purpose serve as threshold conditions for permissibility.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0153

67Index score
776
CrimeStableModerate evidence · 1 source

In a preregistered classification task, typical adults distinguished real from AI-generated faces and real from AI-generated voices at rates above chance.

By June 2026, researchers had tested whether people can tell real from synthetic faces and voices and whether that skill transfers across senses. In a preregistered study, participants classified both types of stimuli, and performance for each modality was significantly above chance when measured with signal detection theory.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0151

67Index score
777
EducationStableModerate evidence · 1 source

Preservice teachers reported that LLMs helped during early modeling work by supporting assumption-making, formula retrieval, and building models and solution strategies.

By April 2026, researchers studied 150 mastere28099s-level preservice teachers at a German university as they collaboratively solved three authentic mathematical modeling problems with large language models, analyzing interaction worksheets, surveys, and interviews.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0148

67Index score
778
Media & ArtsStableModerate evidence · 1 source

Generative AI can learn from large music datasets to create new compositions and realistically reproduce a specific artist's voice.

By June 2026, a law review article described how generative AI had been used to create a viral 2023 track, 'Heart on My Sleeve,' that imitated Drake and The Weeknd. The label confirmed the vocals were not the artists but an AI imitation trained on their recordings, after millions had been convinced it was real.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0146

67Index score
779
SportsStableModerate evidence · 1 source

AI models using EEG, speech, motor data, wearables and video have been applied to detect concussion and quantify head-impact exposure while reducing false-positive events.

By December 2025, a scoping review of six databases identified 55 studies of artificial intelligence across the concussion care pathway, from detection and diagnosis using EEG, speech and motor data to monitoring with wearables, mouthguards and video, plus prognosis and prevention modeling.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0141

67Index score
780
EducationStableModerate evidence · 1 source

Japanese university students using GenAI develop conditional trust and reflexive evaluation through an ongoing process of moral calibration.

By July 2026, researchers had surveyed 69 Japanese university students about everyday GenAI use and analyzed responses with systematic grounded theory. They found students moved through an iterative moral trajectory from recognizing power and risk to feeling ethical anxiety, then to reflexive evaluation and conditional trust, captured in the NECoAI model.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0129

67Index score
781
HealthStableModerate evidence · 1 source

Co-design workshops with 32 young people generated system requirements for reconceptualising the professional-focused Mia genAI chatbot for young consumers and integrating it into Australian youth services, with potential to benefit youth mental health.

On 2026-06-19, a peer-reviewed study reported online workshops with 32 young people to examine the Mental health Intelligence Agent Mia, a genAI chatbot originally designed for professionals in Australian youth services. Following co-design, participants explored perceptions of genAI chatbots in youth mental health and developed recommendations for reconceptualising Mia for consumers and integrating it into services, with four themes identified through reflexive thematic analysis.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0127

67Index score
782
Media & ArtsStableModerate evidence · 1 source

Singing datasets enable development of high-fidelity AI voice synthesis models.

By July 2026, researchers examined singing data collection as AI voice synthesis advanced, analyzing three singing datasets with the Ethically Aligned Stakeholder Elicitation framework. They found data-contributors have event-centric roles with minimal authority over licensing and access, while data-collectors retain control.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0125

67Index score

AI problems · 770

No problems on this page.

Recomputed live from the record · Oct 11, 2026, 9:38 AM