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
Show filters and sorting

AI gains · 649

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

Machine learning accelerates solid-state electrolyte development by efficiently predicting ionic conductivity, elastic moduli, and thermodynamic stability to enable rapid next-generation design.

On Dec 1, 2025, a review in ACS Omega surveyed machine learning for solid-state electrolytes for lithium-ion batteries. It described how SSEs can suppress lithium dendrite growth and improve safety and cycle life, but commercialization is limited by low conductivity, mechanical strength, and interfacial compatibility, prompting use of ML for data processing and pattern recognition.

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

Updated Jul 20, 2026 · TRV-2026-0441

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

Integrating generative AI within HRM practices under a strategic framework aligned with business objectives can boost operational efficiency, foster innovation and secure competitive advantage through responsible practices and workforce development.

On 2024-04-11 this peer-reviewed paper proposed a strategic human resource management framework for integrating generative artificial intelligence in business, arguing existing HRM frameworks fall short and outlining components including alignment with business objectives, seizing opportunities, resource assessment and orchestration, re-institutionalization and continuous learning.

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

Updated Jul 20, 2026 · TRV-2026-0437

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

Multimodal motion capture that integrates artificial intelligence harmonizes data from various sources and provides a robust method for complex sports scenarios, enabling use from single-person technique analysis to multi-person tactical analysis.

As of May 6 2024, this survey in Sensors reviewed 10 years of literature on motion capture in sports, comparing cinematography, wearable sensor, computer vision-based, and multimodal approaches. It found cinematography still dominates biomechanical analysis, wearables are established in winter sports, and computer vision and AI-integrated multimodal systems are expanding into field use.

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

Updated Jul 20, 2026 · TRV-2026-0436

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

Appropriate evaluation using proper measures including AUROC, calibration plot, and net benefit with decision curve analysis is essential to validate predictive AI models that estimate binary outcome probabilities for medical practice.

Published in December 2025, this Viewpoint in The Lancet Digital Health evaluates how to validate predictive AI models that estimate binary outcome probabilities for clinical use. The authors reviewed 32 performance measures across five domains and examined whether each measure is proper and whether it accounts for misclassification costs, illustrating findings with the ADNEX model for ovarian tumour malignancy.

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

Updated Jul 20, 2026 · TRV-2026-0434

AI problems · 520

57
ProblemMedia & Arts· Newly added· Evidence: Moderate (1 source)

Songs that are largely or wholly generated by AI are banned from Australia's official music charts and lose access to chart eligibility.

On 2026-08-25, reporting stated that Australia has banned songs that are largely or wholly generated by AI from its official music charts, establishing a new eligibility rule that releases must be substantially human made.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%100

Updated Aug 26, 2026 · TRV-2026-0887

57
ProblemMedia & Arts· Newly added· Evidence: Moderate (1 source)

AI-generated music loses eligibility for Australian music charts under new rules requiring human songwriting and human performance of lead vocals and primary instruments

Business Today reported on August 25, 2026 that Australia has adopted new music chart rules that make human authorship and performance a condition for eligibility. Under the new rules, a release must be written by humans and have humans perform the lead vocal and primary instruments to qualify for the charts.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%100

Updated Aug 26, 2026 · TRV-2026-0886

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

AI-generated tracks reaching streaming services and charts have used tools trained on artists' music without consent and are often linked to fraud and streaming or chart manipulation, prompting calls for disqualification.

In June 2026, rapper Fenix Flexin released Rubberz, an 80s-inspired synth-pop single that climbed to No 58 on the Billboard Hot 100 with more than 35m Spotify streams. After skeptics noted its uncanny quality, producer Medasin demonstrated Treblo could recreate a near-identical track, and Fenix later admitted using AI, while Trebloe28099s own classifier flagged it as very likely Treblo-generated.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%99

Updated Aug 25, 2026 · TRV-2026-0872

Recomputed live from the record · Aug 27, 2026, 9:48 PM