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

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

Creation of a living database of 1,725 risks from 74 taxonomies provides a shared reference that enables more coordinated auditing and governing of AI systems.

On March 30 2026, a peer-reviewed paper in Patterns described the AI Risk Repository, a living database of 1,725 risks extracted from 74 existing taxonomies and frameworks. The authors created two complementary systems to organize them: a Causal Taxonomy by origin, intent and timing, and a Domain Taxonomy by effects across seven areas.

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

Updated Jul 20, 2026 · TRV-2026-0344

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

Generative AI tools improved personalized learning, self-regulated learning strategies, and adaptive feedback in higher education settings.

This March 2026 systematic and thematic review examined generative AI tools such as ChatGPT in higher education, analyzing 46 Web of Science documents and qualitatively synthesizing 27 peer-reviewed articles to map implementation trends.

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

Updated Jul 20, 2026 · TRV-2026-0342

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

AI enables real-time pollution detection, air and water quality monitoring, and accurate disaster and air quality forecasting to support prompt interventions and sustainable urban management.

Published October 18, 2024, this peer-reviewed overview describes how AI is used in environmental monitoring to provide accurate disaster forecasts, detect pollution sources, and monitor air and water quality in real time, including applications in smart cities.

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

Updated Jul 20, 2026 · TRV-2026-0341

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

AI-driven adaptive learning systems personalize instruction to individual learning styles and abilities, making education more accessible and efficient.

This peer-reviewed bibliometric analysis examines how AI and adaptive learning technologies are reshaping education. Using VOSviewer to map 3518 Web of Science publications from 1990 to 2024, the authors document growth from 1 publication in 1990 to 636 in 2023 and attribute acceleration to broader digitalization and the COVID-19 pandemic.

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

Updated Jul 20, 2026 · TRV-2026-0340

AI problems · 520

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

Using AI in film restoration risks cutting a generation from learning craft and severing the historical lineage of the medium.

During a Comic-Con panel about Pan's Labyrinth returning to theaters, Guillermo del Toro said the remaster and 3D re-release used no AI, stating 'absolutely no goddamn AI' was involved and that every element was done by hand with human depth decisions.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 26, 2026 · TRV-2026-0566

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

Google's AI Overviews and Perplexity AI generated inaccurate summaries, prompting a German court to hold Google liable and the media regulator to require compliance with media laws as proprietary content

On July 14 2026, Germany's media regulator ruled that Google's AI Overviews and Perplexity AI must comply with the country's media laws, after a court held Google accountable for inaccuracies in AI-produced content and defined AI summaries as proprietary material.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 25, 2026 · TRV-2026-0560

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

AI-generated search overviews produced inaccurate information that led to a German court finding Google liable and prompted regulators to apply German media law to AI search features.

On July 14, 2026, Germany's media regulator said Google's AI Overviews and Perplexity AI are subject to German media laws. The announcement followed a German court ruling that held Google liable for inaccurate information generated by its AI Overviews feature.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 25, 2026 · TRV-2026-0559

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

A German court ruled Google directly liable for misinformation produced by its AI Overview feature, with AI-generated content now treated as originating from the provider under national media law.

As of the July 14 2026 report, Germany's media regulator decided that AI-generated content from Google and Perplexity AI falls under national media laws, and a German court ruled Google directly liable for misinformation from its AI Overview feature.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Jul 25, 2026 · TRV-2026-0558

Recomputed live from the record · Aug 27, 2026, 2:38 PM