AI, Power & Society
Use space data centers to ease Earth’s compute and water strain—start with education Run low-latency classroom inference in LEO; keep training and sensitive data on Earth Pilot with strict SLAs, life-cycle audits, and debris plans before scaling
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Export controls slow foes, not secure leadership Invest in compute, clean power, talent Make NAIRR-style Compute Commons permanent U.S. data centers used about 183 terawatt-hours of electricity in 2024, roughly 4% of total U.S.
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Defense AI education is the bottleneck between record defense spending and real capability Train stack-aware teams with mission credentials Scale safely with oversight and shared compute In 2024, global military spendi
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Sovereign AI is public infrastructure for education Countries blend open models and public compute to localize and cut dependence Schools need shared data, transparent tests, and energy-smart procurement In late 2025, South Korea annou
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Deepfake image rights alone cannot stop fast, zero-cost copying of abusive content We need layered protection that combines law, platform duties, and strong school-level responses Education systems must train students and staff, act quickly on reports, and treat synthetic abuse as a shared responsibility
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Treat compute and clean power as strategic infrastructure for national security. Crowd in private capital with compute purchase agreements, capacity credits, and loan guarantees Tie support to open access, safety standards, and allied coordination as China accelerates
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AI grief companions—digital twins—can ethically support mourning when clearly labeled and consent-based Recent evidence shows chatbots modestly reduce distress and can augment scarce grief care Regulate with strong disclosure, consent, and safety standards instead of bans
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Older adults are missing out on generative AI Used well, it can boost independence and wellbeing Policy must make these tools senior-friendly In 2000, only 14% of Americans aged 65 and older were online.
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Mind captioning maps visual brain patterns to text, but it’s pattern recognition—not mind reading In schools, keep it assistive only, with calibration, human-in-the-loop checks, and clear error budgets Adopt strict governance first: informed consent, mental-privacy protections, and audited model cards
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AI energy demand may surge—but isn’t guaranteed Nuclear later; near-term: renewables, storage, shifting Schools should plan for boom or bust with flexible procurement By 2030, global electricity generation for data c
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AI chatfishing hides bots in dating, removing consent and raising risks Declared AI companions can help, but still need strict guardrails Require clear disclosure, platform accountability, and education to close the consent gap When
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Deepfake NIL licensing will surge as content costs collapse Schools must use contracts and authenticity tech to protect communities Provenance and consent rebuild trust when faces become licensable assets Only three in ten U
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Chatbots replace lists with a single voice, intensifying algorithmic gatekeeping In portal-first markets like Korea, hallucination and narrowed content threaten civic learning Mandate citations, rival answers, list-mode defaults, and independent audits in schools and platforms
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AI energy use is rising, but efficiency per task is collapsing Education improves outcomes by optimizing energy usage and focusing on small models.Do this, and costs and emissions fall while learning quality holds The key fig
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babies is inevitable—focus on smart guardrails, not bans Mandate strict privacy, proven developmental claims, and designs that boost caregiver–infant serve-and-return Advance equity with vetted, prompt-only co-play tools in public settings and firm vendor standards
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