TruaceTracing the truth around AIThursday, August 27, 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

71
GainEducation· Stable· Evidence: High (5 sources)

Chinese EFL students who received robot-assisted language instruction showed significantly higher classroom engagement and willingness to attend classes after a four-month intervention compared to controls.

In a four-month randomized trial reported April 30, 2026, 155 Chinese EFL students were split into a control group of 80 and an experimental group of 75 that received robot-assisted language instruction. Questionnaires at the start and end measured classroom engagement and willingness to attend classes.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%100
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0200

71
GainCrime· Stable· Evidence: High (5 sources)

AI-based defense automates anomaly detection, data analysis and incident response to improve protection efficiency in cyberspace.

By April 2026, a peer-reviewed analysis described AI's growing dual role in cyberspace, where it automates anomaly detection, data analysis and incident response to enhance protection, while also enabling cybercriminals to build advanced phishing, deepfakes and hard-to-detect malware.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%100
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0199

71
GainLabor· Stable· Evidence: High (5 sources)

Employees who use approach-oriented AI job crafting to expand job boundaries and enhance capabilities report higher career satisfaction and performance through increased work meaningfulness.

A peer-reviewed study published March 24, 2026 tested how employees proactively adapt to generative AI at work. Using surveys of 287 employee-leader dyads in China, the authors distinguished approach-oriented AI job crafting aimed at leveraging AI to expand job boundaries from avoidance-oriented crafting aimed at mitigating negative perceptions of AI.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%100
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0177

71
GainClimate· Stable· Evidence: High (2 sources)

AI readiness was associated with improved national sustainability performance across G20 economies from 2015-2023, with the strongest effect among the three technologies studied.

A peer-reviewed study in Sustainability examined FinTech, AI, and Blockchain adoption across G20 countries between 2015 and 2023 to assess links to Sustainable Development Goal outcomes. Using panel methods and macro controls, it found each technology positively associated with national sustainability performance, with AI showing the strongest effect and coordinated use amplifying gains.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%99
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0171

AI problems · 520

68
ProblemHealth· Newly added· Evidence: Moderate (1 source)

Clinical AI deployment without human-factors tools risks automation bias, overreliance, fragmentation of care, and other unintended consequences that threaten diagnostic safety.

On August 13, 2026, a peer-reviewed article in Diagnosis reported results from a two-day workshop of 18 interdisciplinary experts from three countries who sought to identify knowledge gaps in applying AI in clinical settings, using medical imaging as the primary use case.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%97

Updated Aug 14, 2026 · TRV-2026-0750

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

Up to half of patients receiving internet-delivered CBT for depression and anxiety disorders fail to achieve clinically significant symptom reduction, complicating treatment planning at intake.

In a routine-care sample of 1790 patients with major depressive disorder, panic disorder, and social anxiety disorder, researchers built multimodal machine learning models from pretreatment clinical, sociodemographic, and genetic data to predict clinically meaningful improvement after internet-delivered cognitive behavioral therapy, testing them with nested cross-validation and temporal validation in 356 held-out patients as of the August 2026 publication.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%97

Updated Aug 12, 2026 · TRV-2026-0738

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

AI methods in drug discovery have so far shown disappointingly limited clinically relevant impact on delivering safer and more efficacious medicines to patients faster.

A 2026 Perspective in Nature Reviews Drug Discovery reviews a decade of artificial intelligence in drug discovery, asking where advances have translated into safer and more efficacious medicines delivered faster. The authors note many AI methods have been developed, applied and benchmarked, but conclude evidence of clinically relevant impact is so far disappointingly limited.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%97

Updated Aug 11, 2026 · TRV-2026-0733

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

Performance varied significantly across models and domains, with Copilot and Perplexity scoring lower and greater inconsistency in clarity, structure, and clinical utility.

On 2026-08-07, a peer-reviewed comparative study tested five AI systems including the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perplexity Pro on 13 questions drawn from strongly recommended EAU erectile dysfunction statements. Three senior reviewers rated each answer for relevance, clarity, structure, clinical utility, and factual accuracy.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%97

Updated Aug 10, 2026 · TRV-2026-0727

Recomputed live from the record · Aug 27, 2026, 5:28 PM