TruaceTracing the truth around AITuesday, September 15, 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.

1,418 results
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AI gains · 787

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

Researchers propose an HDR governance framework for AI-created human digital twins that would protect citizen autonomy after death through advance data directives and data trustees.

The paper examines how AI and extended reality enable creation of avatars and human digital twins from personal and biometric data that persist after death as Human Digital Remains. Using cross-disciplinary analysis and doctrinal review, it finds that current EU instruments do not extend protections to the deceased and identifies urgent legal and ethical gaps.

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

Updated Aug 1, 2026 · TRV-2026-0620

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

Efficient low-power field target detection, measured as shorter fixation duration and faster time to first target fixation, predicts higher diagnostic accuracy in digital cytology and can be rapidly acquired through standard 3-month training.

Researchers eye-tracked 100 cytotechnologists diagnosing 30 digital cytology images and then tracked 28 students before and after a 3-month training program. They found years of experience did not predict accuracy, while shorter fixation on the low-power field main object did, and students markedly improved time to first target fixation and reduced background attention after training.

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

Updated Aug 1, 2026 · TRV-2026-0619

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

START-AI improved prediction of inpatient admission from the emergency department from AUROC 0.78 to 0.90 when ensemble and transformer features were added.

In a single-centre study using two years of ED electronic records, investigators evaluated the Sydney Triage to Admission Risk Tool with Artificial Intelligence (START-AI) by adding features one by one and calculating permutation importance and SHAP values for inpatient admission prediction.

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

Updated Aug 1, 2026 · TRV-2026-0618

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

AI systems can provide simple, clear, well-documented answers to clinical questions about managing patients with hypertension to assist practicing physicians.

By August 2026, peer-reviewed discussion in Giornale Italiano di Cardiologia described AI as entering hypertension care, able to give simple and well-documented answers to management questions for practicing physicians, while also being explored in research to identify secondary hypertension and predict future hypertension and complications such as heart failure.

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

Updated Aug 1, 2026 · TRV-2026-0617

AI problems · 631

67
ProblemEducation· Stable· Evidence: Moderate (1 source)

Practitioners reported tensions that AI assistance could erode professional judgment, reflective value of writing, and create deskilling risk and ethical complexity.

Researchers analyzed baseline evaluation data from the rollout of Magic Note, an AI-assisted recording tool, in a Scottish Local Authority social work department, involving surveys, focus groups and free-text responses from practitioners.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0172

67
ProblemPolicy· Stable· Evidence: Moderate (1 source)

Mixed musical works that blend human and generative AI elements fall into a copyright 'Dead Man's Land' where the U.S. Copyright Office must inspect works case-by-case, creating an inefficient and ineffective process.

A May 2026 law review article examines mixed musical works that contain a blend of human and generative AI elements, arguing they occupy a copyright 'Dead Man's Land' in the United States. It describes a landscape where federal guidance is non-binding and circuit courts issue contradictory fair-use rulings, forcing the U.S. Copyright Office to inspect mixed works on a case-by-case basis.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0170

67
ProblemHealth· Stable· Evidence: Moderate (1 source)

Most agentic AI studies in healthcare were exploratory, limited in scope, lacked robust clinical validation, and lacked conceptual clarity, with only one trial involving patients.

A March 2026 scoping review in npj Digital Medicine examined agentic AI in healthcare, defined as systems capable of operating autonomously to achieve defined clinical goals. Across five databases, seven studies met criteria, spanning emergency medicine, oncology, radiology, and rehabilitation, with features including autonomous operation, goal-directed behavior, action initiation, and multi-agent collaboration.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0166

67
ProblemBusiness· Stable· Evidence: Moderate (1 source)

High religiosity marginally weakens the positive link between digitalization and MSME labor productivity, reflecting transitional adaptation frictions in highly normative environments.

A peer-reviewed study of Indonesian provinces from 2020 to 2023 examined how digitalization and AI adoption relate to MSME labor productivity, using fixed-effects panel estimation and machine learning methods and framing results with Ibn Khaldun's institutional ideas.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0165

Recomputed live from the record · Sep 15, 2026, 8:23 AM