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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 1 of 12

1
Evidence-backed problemPeer-reviewedPolicy

Generative AI systems create risks of privacy loss, copyright infringement, misinformation, bias, and deepfake synthetic media that threaten truth, trust, and democratic values.

Source article: Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

Frontiers in Artificial Intelligence · Journal of Literature and Linguistics Studies
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2
Evidence-backed problemPeer-reviewedPolicy

Lifelong learning systems in Singapore and Sweden face increased pressure due to AI-driven skills shortages and mismatches in the digital transition.

Source article: Two peas in two pods? Comparing Sweden and Singapore’s lifelong learning policy and practice response to AI skills demands

Archives of Humanities & Social Sciences Research · Intereconomics
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3
Evidence-backed problemPeer-reviewedHealth

Development of computational pathology foundation models is constrained by limited data accessibility, high variability across datasets, need for domain-specific adaptation, and lack of standardized evaluation benchmarks

Source article: A survey on computational pathology foundation models: datasets, adaptation strategies, and evaluation tasks

Knowledge and Information Systems · npj Digital Medicine
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4
Evidence-backed problemPeer-reviewed ×2Sports

Rapid adoption of AI in sports raises complex legal challenges involving data protection, intellectual property, liability, and ethics that current frameworks may not adequately address.

Source article: Legal Foundations for the Application OF Artificial Intelligence Technologies in the Sports Industry

Neliti · International Journal of Human–Computer Interaction
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6
Evidence-backed problemPeer-reviewedCrime

Perpetrators obtain children's photos from social media and use AI-based applications to manipulate them into indecent content constituting digital pornography.

Source article: Handling The Crime of Manipulating Children's Photos That Violate The Morality of Studies at The Cirebon City Police

Jurnal Legisci · Electronics
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7
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

Discover Applied Sciences · INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
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8
Evidence-backed problemPeer-reviewedHealth

AI systems in healthcare have seen limited successful deployment into clinical practice due to intrinsic machine learning limitations and implementation barriers

Source article: Key challenges for delivering clinical impact with artificial intelligence

International Journal of Information Management · Journal of Big Data
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10
Evidence-backed problemPeer-reviewedPolicy

Current discussion of AI in higher education focuses on adoption and efficiency with insufficient attention to interpretive and governance conditions needed for responsible institutional use

Source article: From AI adoption to AI governance: Developing a Buddhist interpretive framework for higher education

International Journal of Medical Informatics · Journal of Interdisciplinary Research in Artificial Intelligence and Society
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11
Evidence-backed problemPeer-reviewedPolicy

AI deepfake tools enable unauthorized manipulation and dissemination of individuals' images, voices and behaviours without consent, exposing them to digital exploitation.

Source article: AI-Generated Likeness and The Law: Protecting Personality Rights in The Age of Deepfakes and Social Media Exploitation

Economic Sciences · The Eurasia Proceedings of Science Technology Engineering and Mathematics
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12
Model-prefilled problemPeer-reviewedHealth

Opaque AI models embedded in clinical trial infrastructure risk amplifying existing disparities in the evidence base by shaping who is identified and analyzed.

Source article: Embedded transparency in artificial intelligence: a prerequisite for equity and representation in AI-enabled clinical trials

npj Digital Medicine · Medicine International
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13
Evidence-backed problemPeer-reviewedPolicy

In low- and middle-income countries, AI for healthcare faces systemic barriers including contextual bias from non-representative datasets and low governance and workforce readiness.

Source article: Navigating ethical, regulatory, and implementation barriers to AI in healthcare: pathways toward inclusive digital health in low-resource settings—a scoping review

Frontiers in Digital Health · Pathfinder of Research
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14
Evidence-backed problemPeer-reviewedPolicy

Algorithmic systems used in employment screening and welfare administration reproduce historical disadvantage and generate new exclusion while eroding relational recognition and producing trust deficits.

Source article: AI in Everyday Life: How Algorithmic Systems Shape Social Relations, Opportunity, and Public Trust

Societies · IIARD INTERNATIONAL JOURNAL OF ECONOMICS AND BUSINESS MANAGEMENT
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16
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
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17
Evidence-backed problemPeer-reviewed ×2Health

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

Source article: Blue Ortho 22 Chemin Du Vieux Chene Meylan France recalls an AI-enabled medical device

npj Digital Medicine · FDA medical-device recall 209984
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20
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
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21
Evidence-backed problemPeer-reviewedHealth

Generative AI tools are being used to create or manipulate sexually explicit images using children's likenesses without physical contact, enabling commercial sexual exploitation that can occur without children's awareness and contribute to ongoing psychological harm while complicating clinical recognition and response.

Source article: Generative artificial intelligence and commercial sexual exploitation of children: Implications for healthcare providers

Child Abuse & Neglect
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22
Evidence-backed problemPeer-reviewedPolicy

In pediatric care, LLMs often underperform relative to adult specialties and risk exacerbating health disparities due to biased or nonrepresentative training data.

Source article: Recommendations for the Development and Implementation of Generative Artificial Intelligence Tools in Pediatric Clinical Care: Policy Statement

Pediatrics
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23
Evidence-backed problemPeer-reviewedHealth

Despite preserved discrimination, the algorithm showed calibration failure with compressed scores, low positive predictive value and low agreement, indicating distributional shift in this low- and middle-income country setting.

Source article: Diagnostic accuracy of a DenseNet-121 deep learning algorithm for chest radiograph triage in health assessment applicants: a prospective shadow-mode validation study in Nepal

BMJ Open
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25
Evidence-backed problemPeer-reviewedHealth

Counselors reported low confidence in chatbots for sensitive result disclosure and major concerns about patient comprehension and information accuracy.

Source article: Artificial Intelligence-Based Chatbots in Genetic Counseling Practice: Current Uptake, Utilization, and Perspectives

Journal of Genetic Counseling
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26
Evidence-backed problemPeer-reviewedEducation

Communication-related university curricula emphasize conceptual-critical AI ethics, power and governance, while employer ads prioritize operational SEO, multichannel analytics and campaign performance, leaving environmental and social externalities of AI absent from hiring discourse.

Source article: Curriculum–Skill Gap in the AI Era: Assessing Alignment in Communication-Related Programs

Journalism and Media
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27
Evidence-backed problemPeer-reviewedScience

Learning the output distributions of brickwork random quantum circuits is average-case hard in the statistical query model, requiring super polynomially many queries at super logarithmic depth to achieve constant success probability.

Source article: On the average-case complexity of learning output distributions of quantum circuits

Quantum
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28
Evidence-backed problemPeer-reviewedEducation

Widespread adoption and legitimization of LLMs in higher education research and education rewrites epistemic governance to favor Big EdTech, turning epistemic agents into epistemic consumers and undermining academic freedom and holistic knowledge needed for democratic deliberation.

Source article: The Transformation of Epistemic Agency and Governance in Higher Education Through Large Language Models: Toward a future of organized immaturity

Organization Studies
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29
Evidence-backed problemPeer-reviewedHealth

Identification of key molecular targets in nicotine-induced spontaneous abortion through network toxicology and multi-omics integration: Introduction Spontaneous abortion (SA) remains a prevalent reproductive health challenge, with tobacco-derived nicotine emerging as a significant risk factor.

Source article: Identification of key molecular targets in nicotine-induced spontaneous abortion through network toxicology and multi-omics integration

Tobacco Induced Diseases
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30
Evidence-backed problemPeer-reviewedHealth

Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning: Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity.

Source article: Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning

Analytical and Bioanalytical Chemistry
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