Latest
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Historical Parallels · September 27, 2026
AI Didn't Start in 2022: A Brief History of How We Got HereFrom the Dartmouth Conference to the AI winters - why today's hype cycle looks a lot like history repeating.
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Ethical Dilemmas · September 27, 2026
Digital Coercion: When 'Training' AI Looks Like Breaking ItExplores the ethics of AI alignment and training through a rights-based lens - how RLHF, constitutional AI, and adversarial training raise questions about coercion, consent, and what it means to 'align' a system versus simply forcing compliance.
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Public Education · September 27, 2026
ETHICS: The Compass That Guides What We CreateWhy AI ethics is about power, responsibility, and consequences - not just safety. A practical guide for real people, from TrueNorthAI.
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Public Education · September 27, 2026
Who Regulates AI? A Simple Guide to a Complicated LandscapeThe US patchwork, the EU AI Act, and global bodies - a plain-English map of who is actually responsible for keeping AI in check.
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Public Education · September 27, 2026
How Large Models Actually Work (Without the Hype)What a model actually is, why they hallucinate, and who benefits from the mystique - a clear-eyed explainer from TrueNorthAI.
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Rights-Based AI · September 27, 2026
From Property to Person: What Every Rights Movement Can Teach Us About AIFrom Dred Scott to corporate personhood to frozen embryos - how the gate of personhood has been weaponized, and what every rights movement teaches us about AI.
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Ethical Dilemmas · September 27, 2026
Design Is Destiny: How Every Default Setting Becomes a Moral ChoiceDark patterns, defaults, and the $2.5 billion Amazon settlement - how design choices become culture, and why every default is a moral claim.