+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
TruaceTracing the truth around AIMonday, September 14, 2026
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The Problems surrounding AI

Documented harms, ranked by source quality, corroboration, and recency. Reader feedback is shown separately and never changes the evidence rank. 252 records · page 5 of 9.

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125
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Evidence-backed problemPeer-reviewedCrime

AI systems exhibit a persistent black box problem that blocks trust and adoption in high-stakes domains including healthcare, finance, and criminal justice, while dark AI uses like deepfakes and AI-powered cyberattacks create governance risks.

Source article: Beyond Generative Intelligence: A Comprehensive Review of Emerging Artificial Intelligence Paradigms, Explainability Challenges, Ethical Risks, and Future Directions

International Journal of Latest Technology in Engineering Management & Applied Science
126
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Evidence-backed problemPeer-reviewedPolicy

Generative deepfake systems produce reputational, identity-based and corporate harms through chains of developers, prompting users, platforms and distributors that ordinary Saudi and Jordanian tort doctrine struggles to remedy.

Source article: Deepfake-induced harm and AI accountability: a layered civil-liability framework for generative models, platforms, and digital identity

Frontiers in Artificial Intelligence
127
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129
Reader signal

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Evidence-backed problemPeer-reviewedLabor

AI-enabled offensive techniques increase cybersecurity risk in Asia-Pacific by using data poisoning, model extraction and AI-driven social engineering, with agentic AI expanding attack surfaces

Source article: Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
131
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedLifestyle

Among furniture artisans in South-East Nigeria, AI-facilitated superwood utilization for sustainable manufacturing was hindered by severe knowledge deficits, low substantive AI understanding, low perceived ease of use, and unreliable electricity and internet

Source article: The role of artificial intelligence in facilitating superwood utilization among furniture craft producers for sustainable smart manufacturing

Scientific Reports
134
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