🧭 One of our AI alignments: where our guidelines meet an outside framework, where we share ground, and where we go further.
How to (Anti) AI Better – YouTube
Held tension, not resolution. Both name genuine conflict with AI — ethically, environmentally, practically — without resolving it into either uncritical adoption or blanket condemnation.
Disability and access as a primary frame. The video centers disabled and marginalized people’s use cases as serious ethical territory, not exceptions or footnotes. We do the same with Ronan’s experience and the AAC carve-out.
Broken systems, not broken people. Both frame AI use as adaptation under systemic constraint, not individual moral failure.
Environmental cost held as real tension. The video’s thorough treatment of environmental harm validates our guardrail posture — acknowledge the cost, sit with the tension, practice restraint — without collapsing into either dismissal or paralysis.
Specificity over umbrella condemnation. The video insists on disaggregating “AI” — by company, model, use type, scale — exactly as our guidelines argue is necessary to avoid laundering harms.
Harm reduction as the operative framework. Meet people where they are, reduce harm within lived reality, don’t require abstinence as the only ethical option.
AI literacy as protection, not promotion. Teaching how AI works makes people more cautious and less receptive, not more dependent.
Sycophancy as the front-end harm that directly violates “facilitate, not shape identity.” The video’s personal story of sliding from useful tool to sycophantic dependency is the clearest illustration we’ve seen of what our identity-shaping guardrail is protecting against.
Directing anger at systems, not people. Both end in the same place: organize against the companies and governments enabling harm, not against individuals trying to cope.
🧭 Back to all AI alignments · Part of our work on AI.