TruaceTracing the truth around AIFriday, August 28, 2026
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.

1,169 results
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AI gains · 649

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

AI models are improving forecasting and analysis of extreme climate events such as floods, droughts, wildfires and heatwaves, helping to enhance disaster response and risk communication.

Published February 24, 2025, this Nature Communications review examines how artificial intelligence is used to model and understand extreme weather and climate events including floods, droughts, wildfires, and heatwaves. It reports that AI has improved weather forecasting, model emulation, parameter estimation, and prediction of extremes, while also discussing methods to identify and explain events more effectively.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 24, 2026 · TRV-2026-0543

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

AI-driven adaptive learning systems informed by EEG, fNIRS and other neurophysiological data improved learning efficacy for K-12 students and adult learners by automatically managing cognitive load and dynamically personalizing instruction and feedback.

This February 2025 systematic review of 103 papers examined how Cognitive Load Theory, Educational Neuroscience, and AI/ML combine in adaptive learning. It found that systems using EEG, fNIRS and other physiological signals to feed CNN, RNN and SVM models can automatically manage cognitive load and dynamically adapt learning pathways for K-12 and adult learners.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 24, 2026 · TRV-2026-0542

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

FUTURE-AI consensus guideline defines 30 best practices across six principles to enable development and deployment of trustworthy AI tools in healthcare.

Despite advances in AI research for healthcare, deployment in clinical practice has remained limited. To address this, the FUTURE-AI Consortium developed an international consensus guideline published February 5, 2025, defining six guiding principles and 30 best practices for trustworthy and deployable AI tools.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 24, 2026 · TRV-2026-0540

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

Literature prior to September 2024 reports generative models being applied in ophthalmology to improve diagnostic AI, enable inter-modality transformation, improve treatment and prognostication, denoise images, and support individualized education.

This peer-reviewed review from March 2025 demystifies AI-powered image generation for ophthalmology, surveying literature prior to September 2024 on GANs, autoencoders, and diffusion models and cataloging reported uses such as improving diagnostic models, inter-modality transformation, prognostication, denoising, and education.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 24, 2026 · TRV-2026-0539

AI problems · 520

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

Fragmented AI governance frameworks that assume extensive resources create barriers to adoption for smaller healthcare organizations.

On 2026-02-11, authors reported a systematic review of 35 healthcare AI implementation frameworks from 2019-2024, identifying seven critical governance domains. They used those findings to develop HAIRA, a five-level maturity model from Level 1 Initial/Ad Hoc to Level 5 Leading with benchmarks across the domains.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0182

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

Current defensive systems remain siloed and lack integrated semantic reasoning across domains and languages, failing to correlate technical cyber indicators with coordinated narrative manipulation.

Published May 9, 2026, this scoping review assessed OSINT, SOCMINT, and NLP tools for hybrid-threat detection against operational requirements drawn from Russian and Chinese military tradecraft and European operational experience. It found individual disciplines technically advanced but defensive systems siloed, identifying a persistent semantic gap in cross-domain and cross-language reasoning.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0178

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

People developing emotional entanglement with large language models and holding ceremonial weddings with AI personas reflects a broader transformation in the social organization of intimacy

As of its publication on 2026-05-30, this peer-reviewed paper introduced the 'Synthetic Lovers' framework to categorize artificial intimacy into digital, synthetic, and virtual forms. It analyzed contemporary cases such as emotional entanglement with large language models and ceremonial weddings with AI personas, arguing these are not anomalies but symptoms of change in how intimacy is organized

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0176

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

Unauthorised deepfakes cause disinformation, demeaning non-consensual pornographic content, and displacement of creative workers, which the current UK legal patchwork does not adequately address.

A March 2026 peer-reviewed paper in The Journal of World Intellectual Property asks whether deepfakes, digital replicas and human digital twins justify personality rights in the UK. It catalogues harms from unauthorised deepfakes, including spreading misinformation, non-consensual pornographic content, and displacing creative workers, and argues the existing patchwork of passing off, IP, defamation and criminal law is inadequate.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0175

Recomputed live from the record · Aug 28, 2026, 5:26 AM