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Problem Space a ranking of the record

TheProblems surrounding AI

334 documented problems are on the board. 53% rest on at least one peer-reviewed study, and 5% clear the high-evidence bar. Health carries 31% of it. The latest was filed Oct 12, 2026.

Every problem on the board, one square each, shaded by the strength of its evidence. High 18 Moderate 316 Emerging 0
334 results
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The board · page 5 of 12

122
Evidence-backed problemPeer-reviewedCrime

Generative AI enables fraud attacks that erode Zero-Trust Architecture by using synthetic identities and context manipulation to increase false-negative rates, extend dwell time, bypass policies, and evade audit trails.

Source article: The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions

Journal of Cybersecurity and Privacy
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124
Evidence-backed problemPeer-reviewedMedia & Arts

AI text-to-music systems can generate folk and rock songs almost instantly but simulate stylistic language without situated experience, while social media platforms recode musical authenticity into visibility metrics and algorithmic circulation.

Source article: Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions

Language, Technology, and Social Media
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How should this claim be treated?

127
Evidence-backed problemPeer-reviewedPolicy

Deepfakes that falsely announce surrender or truce declarations can place soldiers and civilians at greater risk and may constitute violations of international humanitarian law.

Source article: Deepfakes and the Geneva Conventions: Does Deceptive AI-Generated Misinformation Directed at an Enemy During Armed Conflict Violate International Humanitarian Law? A Critical Discussion

Laws
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129
Evidence-backed problemPeer-reviewedHealth

Integration of large language models into medical practice creates ethical and regulatory risks including compromised data privacy and rights of use, unclear data provenance, and intellectual property contamination.

Source article: Ethical and regulatory challenges of large language models in medicine

The Lancet Digital Health
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131
Evidence-backed problemPeer-reviewedEducation

Generative AI chatbots in higher education raise concerns around academic integrity, labour displacement, and embedded biases that require a critical approach.

Source article: Higher Education’s Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania

Journal of University Teaching and Learning Practice
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How should this claim be treated?

132
Evidence-backed problemPeer-reviewedClimate

AI workloads' environmental impact is growing rapidly but remains hard to quantify because data center operators do not separate AI and non-AI reporting, with AI alone projected to reach 32.6-79.7 million tons CO2 and 312.5-764.6 billion liters of water in 2025.

Source article: The carbon and water footprints of data centers and what this could mean for artificial intelligence

Patterns
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135
Evidence-backed problemPeer-reviewedPolicy

Ecuadorian participants perceived that generative AI was used to disseminate disinformation during the 2025 presidential campaign, that it influenced the election outcome, and that it failed to increase trust in candidates or electoral legitimacy.

Source article: Disinformation, AI and regulation in Ecuador’s 2025 presidential election

Frontiers in Political Science
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138
Evidence-backed problemPeer-reviewedLabor

AI use in recruitment and hiring creates a heightened risk of concealing and reproducing organizational inequalities through algorithmic invisibility and growing legitimacy of AI solutions.

Source article: Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review

Human Relations
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139
Evidence-backed problemPeer-reviewedHealth

AI integration in drug discovery still limited by data quality and bias, lack of transparency and interpretability, high computational demands, and privacy and fairness risks.

Source article: AI-enabled drug and molecular discovery: computational methods, platforms, and translational horizons

Discover Molecules
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141
Evidence-backed problemPeer-reviewedHealth

When compared to historical multidisciplinary routine practice readings in 1000 testing cases, the AI system did not demonstrate confirmed non-inferiority and showed slightly lower specificity at matched sensitivity.

Source article: Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

The Lancet Oncology
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143
Evidence-backed problemPeer-reviewedPolicy

Organizations attempting to embed generative AI into strategic decision-making struggle to move beyond pilots due to hallucination risks, prompt-engineering deficiencies, data readiness gaps, and privacy or IP concerns.

Source article: From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens

Journal of Decision Systems
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145
Evidence-backed problemPeer-reviewedLabor

Generative art systems accelerate inequities in visual arts by appropriating intellectual property from marginalised artists and reinforcing Eurocentric and gendered commodification.

Source article: Garbage in, garbage out? How the monster of AI art reflects human fault, bias, and capitalism in contemporary culture

AI & SOCIETY
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146
Evidence-backed problemPeer-reviewedPolicy

Deployment of AI systems leaves individuals increasingly unable to understand or seek accountability for resulting harms, eroding the human rights framework's core function of empowering individuals against power disparities

Source article: Artificial intelligence and its ‘slow violence’ to human rights

AI and Ethics
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