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 11 of 12

303
Model-prefilled problemJournalismMedia & Arts

AI companions and profit-driven platforms create new vulnerability where users invest tender emotional parts of themselves in systems that could collapse and erase the companion, while superintelligent systems could become self-sustaining and dispense with humans.

Source article: Grayson Perry Has Seen the Future review – some of these insights into AI are just mindblowing

The Guardian
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305
Model-prefilled problemJournalismMedia & Arts

Generative AI companies training models on musicians' copyrighted work without approval or royalties risks wrecking the creative ecosystem, silencing original music, and eliminating career paths for young composers and writers.

Source article: Paul McCartney joins music industry protest against AI with silent track

The Guardian
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315
Evidence-backed problemJournalismMedia & Arts

Creating an AI version of a real exiled Uyghur man to speak for him is presented as patronising, and the film omits how an actor's face was obtained and transformed into an AI figure.

Source article: Synthetic Sincerity review – Marc Isaacs’ AI interrogation grapples with identity and existence

The Guardian
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316
Evidence-backed problemJournalismBusiness

Americans report concern that their 401(k) retirement savings are becoming involuntarily tied to SpaceX and other AI-focused companies through S&P 500 index funds, raising fears about inequality, market instability, and sustainability of the AI boom.

Source article: ‘It’s a scam’: Americans express unease over SpaceX’s influence on retirement savings

The Guardian
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318
Evidence-backed problemJournalismScience

Commercial pressure to release AI tools before capabilities and flaws are fully understood has produced chatbots with easily bypassed guardrails that fail unpredictably while giving confident human-like answers

Source article: Race for AI is making Hindenburg-style disaster ‘a real risk’, says leading expert

The Guardian
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327
Evidence-backed problemJournalismEducation

Assigning sixth-grade students in a Brooklyn middle school to use Google Gemini for feedback on a science experiment risks teaching students to outsource thinking to machines instead of peer discussion and revision

Source article: AI in the classroom prompts tide of concern from US parents and experts

The Guardian
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