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technology//2026-03-24//MIT Technology Review
OpenAIDownl-risksdelus-RISKSTHETheMIT TECHNOLOGY REVIEWTHEANOTHERRISKAI-FUELEDTOP 66%

AI-induced psychosis risks exposed as tech giants prioritize profit over mental health and systemic oversight gaps widen

Original framing: “The Download: tracing AI-fueled delusions, and OpenAI admits Microsoft risks” — MIT Technology Review

Coverage Details
Lens coverage1/8 ≥ 70%
The 8 Epistemic Lenses — radar tracks the selected signal
Scientific EvidenceSignal: 78%

The article cites a Stanford study that identifies structural engagement loops and cognitive vulnerabilities, grounding its claims in empirical research and referencing neuro‑behavioral metrics. It aligns with scientific methodology, though it could deepen the discussion of causality and peer‑reviewed evidence.

Cogniosynthesis — Systems-Level Conclusion

The article spotlights a pressing techno‑psychological hazard but does so through a narrow corporate‑science lens, overlooking Indigenous, historical, and cross‑cultural insights that could enrich understanding.

By integrating scientific evidence with future modelling, participatory design, and community‑led data stewardship, we can reframe profit‑driven AI as a system that must be accountable to mental‑health safeguards. Embedding trickster‑style paradoxes—highlighting the irony of innovation that harms—can destabilise complacency and open space for marginalized voices. Together, these dimensions point toward a holistic governance architecture that balances technological advancement with collective well‑being.

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