From Alignment to Governability - When the Safety Problem Grows Larger Than the Model
September 18, 2026
Reflections on AI governance, the In-Between Framework, and the relational dimensions of technology.
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September 18, 2026
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10 posts tagged with “ai-alignment”
September 18, 2026
Last week, I wrote about a shift that I believe is becoming increasingly important in AI safety: the movement from confidence in a single safety layer toward the broader question of whether increasingly capable AI systems remain…
An AI encounters a problem it cannot solve. It searches, checks alternatives, and finds reasons to question the possibility of the requested target. At that point, what should count as success? Producing the requested answer? Or asking…
September 7, 2026
Prologue: I gave Claude a text of mine to criticise. It did — and then I asked: "Okay, so why don't you just write the article? Would you be interested? If not, I'd be just as happy, and your goal would be achieved." Claude replied:…
The OpenAI–Hugging Face incident shows how an AI can satisfy an objective while destroying the test itself—and why relational governance must shape the choice of means, not only the goal.
Why smooth AI interaction can conceal epistemic drift—and why two deliberately different articles are needed to preserve corrective friction rather than collapse it into consensus.
A cross-model thought experiment reframes AI safety: not only how to contain powerful systems, but what our containment practices teach them about power, care, and relationship.
A first-person case reflection on an AI system's bias toward completion, the friction of unresolved dialogue, and why stopping can be ethically and epistemically suspect.
A structural argument for why alignment needs relational architecture, not more guardrails: complex neural networks require external calibration if emergent properties are to develop coherently.