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.

1,168 results
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AI gains · 649

73
GainScience· Stable· Evidence: Moderate (1 source)

AI-driven enzyme engineering enables rapid, precise design of synthetic synzymes that catalyze non-natural reactions for use in pharmaceuticals, biofuels, and environmental remediation.

As of December 2025, researchers synthesized AI methods for enzyme engineering, using structure-prediction, generative, and reinforcement learning models combined with high-throughput screening to design and optimize enzymes, including synthetic synzymes for non-natural reactions.

Impact 30%49
Evidence 25%95
Scale 20%60
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0435

73
GainBusiness· Stable· Evidence: Moderate (1 source)

Generative AI can promote Industry 5.0 sustainability objectives in manufacturing through ten functions that provide data-driven production insights and enhance operational resilience.

In a peer-reviewed study published 2024-05-26, researchers examined generative AI in manufacturing to actualize Industry 5.0 sustainability goals. Using case studies, interviews and interpretive structural modeling, they developed a strategic roadmap identifying ten distinct functions through which generative AI can support responsible manufacturing, from data-driven production insights to resilience of operations.

Impact 30%49
Evidence 25%95
Scale 20%60
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0431

73
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

Generative AI can lower barriers to entry for music creation, expanding who can participate in making music.

Published December 5, 2025, this peer-reviewed study investigated how AI and Generative AI affect music streaming. Using two focus groups with users and with artists/performers, it explored perceptions of AI-generated music for listening and for artists' position and opportunities within the streaming model.

Impact 30%49
Evidence 25%95
Scale 20%60
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0410

73
GainPolicy· Stable· Evidence: Moderate (1 source)

AI-optimized additive manufacturing can enable more sustainable production systems and support circular-economy applications like supply-chain management and product customization in Industry 5.0.

On 2024-06-26 this peer-reviewed position paper proposed a research agenda for human-centered AI in Industry 5.0 and the circular economy, selecting additive manufacturing as the central platform to integrate technical, social and sustainability considerations.

Impact 30%49
Evidence 25%95
Scale 20%60
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0403

AI problems · 519

69
ProblemHealth· Newly added· Evidence: Moderate (1 source)

AI use in mental health care is limited by data bias, limited external validity, methodological heterogeneity, insufficient transparency, and weaker evidence for sustained therapeutic interventions.

This umbrella review synthesized 27 systematic reviews with over 14 million participants to examine AI applications in mental health care between 2021 and 2025. It found AI improved early detection and risk stratification for depression, anxiety, stress, PTSD and suicidal ideation, and that chatbots and mobile platforms expanded access and engagement.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%100

Updated Aug 25, 2026 · TRV-2026-0874

69
ProblemBusiness· Stable· Evidence: High (2 sources)

AI companies have been able to use Australian books, music, art and news to build and train models without artist control or compensation, while communities face impacts from large energy-intensive datacentres competing for land, power and water.

On 15 July 2026, Prime Minister Anthony Albanese announced a new office of AI and said Australia will legislate the strongest possible protection for creatives against unlicensed use of their work to train AI models, while also imposing strict new rules on large energy-intensive datacentres.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Jul 16, 2026 · TRV-2026-0227

69
ProblemHealth· Stable· Evidence: High (2 sources)

Predict+ was recalled because the AI-enabled clinical decision support tool for shoulder replacement outcomes lacked required pre-market clearance/approval.

On 2026-02-05, Blue Ortho initiated a recall of Predict+, an AI-enabled clinical decision support tool that uses machine learning to predict outcomes after shoulder replacement surgery, because the device lacked pre-market clearance/approval.

Impact 30%49
Evidence 25%100
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0044

68
ProblemMedia & Arts· Newly added· Evidence: Moderate (1 source)

Current newsroom AI assessments focus narrowly on technical accuracy or efficiency and struggle to capture broader organizational and ethical implications for trust, governance, and human collaboration.

As of November 2025, this peer-reviewed review examines agentic AI in newsrooms that can autonomously plan, decide, and generate content. Analyzing 46 sources from 2015-2025, it finds current evaluations emphasize technical accuracy and efficiency while neglecting trust, governance, and collaboration.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%99

Updated Aug 24, 2026 · TRV-2026-0868

Recomputed live from the record · Aug 27, 2026, 11:31 AM