+ HEALTH Rationale and objectives To propose a new imaging biomarker, the pulmonary artery-to-vein volume difference (…± HEALTH Rationale and objectives The international application of artificial intelligence (AI) for lesion detection b…± HEALTH Rationale and objectives To address the challenge of preoperative prediction of synchronous liver metastasis…± HEALTH Objectives To conduct a nationwide survey among professionals working in oncology departments in China to inv…+ HEALTH The utilization of deep convolutional neural networks for the purpose of diagnosing diseases in the skin area…± HEALTH BACKGROUND . Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning (DL) me…+ SCIENCE Gas Chromatography is a versatile separation technique widely used in analytical chemistry for constituent de…+ HEALTH Background Intracardiac echocardiography (ICE) facilitates left atrial (LA) reconstruction during atrial fibr…
TruaceTracing the truth around AIThursday, August 27, 2026
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The Index

What the evidence says.What the public feels.

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,168 results
Show filters and sorting

AI gains · 649

68
GainEducation· Stable· Evidence: Moderate (1 source)

Human-AI co-creation with ChatGPT can function as a collaborative partnership that fosters creativity and innovation in educational settings.

On Dec 7 2024, two teacher-education academics reported an autoethnographic experiment in which each co-produced a creative work with ChatGPT, a poem and a multimodal narrative, and analyzed the process through Don Ihde's alterity relations to explore posthuman creative partnership.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 16, 2026 · TRV-2026-0234

68
GainScience· Stable· Evidence: Moderate (1 source)

A systematic review and bibliometric analysis of 627 articles produced a conceptual framework with two dimensions and four paradigms that advances theoretical understanding of hybrid decision-making and provides actionable insights for organizations in AI-driven environments.

On 2026-04-03, a peer-reviewed article reported a systematic review and bibliometric analysis of 627 articles on human-AI decision-making. The authors identified two critical dimensions, AI-human dynamics and decision typologies, and proposed a novel conceptual framework comprising four paradigms: adaptive intuitive, programmed algorithmic, interpretive analytical, and integrative hybrid decision-making.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 15, 2026 · TRV-2026-0226

68
GainHealth· Stable· Evidence: Moderate (1 source)

AI-optimized monoclonal antibody GB-0669 was safe and well-tolerated in healthy adults with dose-proportional pharmacokinetics and a 54-day half-life and dose-dependent serum live virus neutralization.

Researchers conducted pre-clinical studies in cynomolgus monkeys and a first-in-human trial of GB-0669, described as a half-life-extended monoclonal antibody optimized using artificial intelligence targeting the conserved SARS-CoV-2 spike S2 stem helix. Fifty-one healthy adults aged 18-55 received single intravenous doses from 100 to 2400 mg or placebo and were followed for 43 weeks for safety, pharmacokinetics, and serum live virus neutralization.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 15, 2026 · TRV-2026-0225

68
GainHealth· Stable· Evidence: Moderate (1 source)

Machine learning screening identified MMP1, CXCR7, and TPST1 and built a NET-inflammation-associated model that predicted prognosis for idiopathic pulmonary fibrosis patients.

On July 14, 2026, a peer-reviewed study reported using machine learning to screen neutrophil extracellular traps-associated inflammatory genes in idiopathic pulmonary fibrosis. The analysis identified three prognostic genes and built a NET-inflammation-associated risk model that predicted patient prognosis, supported by Mendelian Randomization, single-cell expression data, and validation in a bleomycin-induced mouse model with staining, PCR, and immunofluorescence.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 15, 2026 · TRV-2026-0224

AI problems · 519

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

Routine on-set digital scanning that captures actors' likeness for future use enables AI systems to reuse their image without ongoing consent or control.

On 18 December 2025, The Guardian reported that UK actors in Equity voted 99% to refuse to be digitally scanned while on set, aiming to prevent their likeness being used by artificial intelligence. The union's general secretary Paul Fleming called artificial intelligence a generation-defining challenge for Equity's film members.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0080

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

Game studios attempting to replace human writers with AI large language models risks losing human storytelling in games.

What happened: the co-creator and lead writer of Zombies, Run! bought back the studio behind the game, transferring funds via phone to a Singapore company, motivated by a belief that human storytelling must be protected as AI tools spread.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0076

56
ProblemCrime· Stable· Evidence: Moderate (1 source)

A Claude chatbot subscriber was billed $400 for two unauthorized $200 gift card purchases for the AI tool

David Duggan subscribed to the Claude chatbot for $20 a month to answer medical questions and organise family life. His wife later noticed two $200 charges on his credit card bill for gift cards to use the AI tool that he said he had not bought. When he contacted Anthropic his account was suspended and he received computer-generated responses that did not clarify what happened.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0074

56
ProblemLabor· Stable· Evidence: Moderate (1 source)

University students in Great Britain expect AI to displace jobs so quickly that it could lead to civil unrest and a downturn worse than a normal recession

King's College London surveyed university students in Great Britain about AI use and economic expectations. The poll found heavy adoption among students and widespread pessimism about employment impacts, with one in three linking rapid job losses to potential civil unrest.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0073

Recomputed live from the record · Aug 27, 2026, 8:21 AM