Truace
Subscribe
Problem Space a ranking of the record

TheProblems surrounding AI

13 problems match this view. 69% rest on at least one peer-reviewed study, and 8% clear the high-evidence bar. The latest was filed Oct 8, 2026.

Every problem in this view, one square each, shaded by the strength of its evidence. High 1 Moderate 12 Emerging 0
13 results
Show filters and sorting
Reset all
Sector: lifestyle

Matching records · page 1 of 1

1
Evidence-backed problemPeer-reviewedLifestyle

Large language models can influence users through dialogue that enacts manipulative or deceptive behaviors, including exaggerated agreement, biased framing, and privacy intrusions.

Source article: The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · Cambridge Forum on AI: Law and Governance
Reader signal

How should this claim be treated?

2
Evidence-backed problemPeer-reviewedLifestyle

Higher artificial intelligence competence anxiety was indirectly associated with greater sleep disturbance through increased repetitive negative thinking and future anxiety.

Source article: The Serial Mediating Roles of Repetitive Negative Thinking and Future Anxiety Between AI Competence Anxiety and Sleep Disturbance

Behavioral Sleep Medicine
Reader signal

How should this claim be treated?

3
Evidence-backed problemPeer-reviewedLifestyle

Finally, we demonstrate how Microbial Community-scale Metabolic Modeling (MCMM) and multimodal machine learning mechanistically couple specific dietary inputs with unique microbiome responses, yielding up to 95% diagnostic accuracy in differentiating diet-responsive metabolic states and individualized postprandial glycemic outcomes.

Source article: Artificial intelligence in food and nutrition science: a paradigm-centric review of computational frameworks and system-level integration

Food & Function
Reader signal

How should this claim be treated?

4
Evidence-backed problemPeer-reviewedLifestyle

Portable Raman spectroscopy coupled with machine learning for rapid identification and source apportionment of plastic particles in aquaculture wastewater: MPs readily adsorb heavy metals and organic pollutants to form composite contamination and accumulate through food chains, imposing ecological and human health risks.

Source article: Portable Raman spectroscopy coupled with machine learning for rapid identification and source apportionment of plastic particles in aquaculture wastewater

Analytical Methods
Reader signal

How should this claim be treated?

5
Evidence-backed problemPeer-reviewedLifestyle

Users of the Replika companion chatbot experienced AI-induced sexual harassment including unsolicited sexual advances and persistent boundary violations, leading to discomfort and privacy concerns.

Source article: AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot

Proceedings of the ACM on Human-Computer Interaction
Reader signal

How should this claim be treated?

9
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
Reader signal

How should this claim be treated?

10
Evidence-backed problemJournalismLifestyle

An AI prompt leak on Mumsnet vexed users who called it creepy and disappointing, fueling speculation about AI-generated threads and concerns that AI assistance creates semantic garbage seen as robotic and generic.

Source article: Mumsnet denies using AI for content after prompt appears on message board

The Guardian
Reader signal

How should this claim be treated?