# The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI

The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms (2017-2026) across the human lifespan reveals that disparate incidents --- from voice assistants endangering children to AI companions implicated in adolescent suicide and automated care denials for the elderly --- reflect a single failure: evaluating systems against an implicit adult user model. We introduce five developmental moderators structured into a Lifespan Vulnerability Matrix across six life stages. The matrix reveals a nonmonotonic risk distribution: vulnerability peaks at both ends of the lifespan, governance coverage is asymmetrical, and authority to convert model errors into real-world impact is scrutinized least. We then propose a set of lifespan design principles generalizing existing child-protective instruments, and an institution-agnostic, three-tier external evaluation framework --- comprising automated simulation, expert red teaming, and post-deployment monitoring --- indexed directly to matrix risk cells.

## Why It Matters

This work advances the encyclopedia's coverage of [Agents, Autonomy, and Tool Use](../agents-autonomy.md), [The AI Safety Debate](../ai-safety-debate.md), [AI Alignment](../alignment.md), [Compute Governance](../compute-governance.md), [Machine-Learning Algorithms](../ml-algorithms.md). The central idea—The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms —connects to the broader arc of recent AI research tracked in [Recent News](../../news.md).

## Sources

- rss: https://arxiv.org/abs/2610.35725

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