Holding the egg
ethical tensions of care in safety-critical technologies
Oscar Oviedo-Trespalacios (TU Delft - Technology, Policy and Management, TU Delft - Technology, Policy and Management)
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Abstract
Safety-critical technologies frequently persist for decades, outliving their original design assumptions, organisational arrangements, and regulatory contexts. Yet ethical and safety scholarship remains predominantly oriented toward early lifecycle phases, emphasising design assurance, deployment decisions, and prevention, while offering limited conceptual resources for understanding responsibility once systems are already in operation, ageing, and increasingly difficult to modify or withdraw. This paper develops a conceptual account of ethical care after deployment, referring to forms of responsibility that persist once safety–critical technologies become operationally embedded and remain in use while practical steerability, authority, epistemic certainty, and exit options gradually erode. The animated film Angel’s Egg (Oshii, 1985) is used as a heuristic device—not as empirical evidence or film analysis—to surface ethical tensions associated with sustaining fragile systems over time. On this basis, the paper proposes a preliminary conceptual framework for examining ethical conditions that remain weakly captured by prevailing safety concepts. The resulting CARE-TECH framework identifies six interrelated tensions: care without repair, responsibility without authority, care under epistemic uncertainty, fragility without exit, inherited burden, and irreversibility of ethical failure. The framework further clarifies how these tensions cluster as limits of agency and temporal–epistemic burdens, sustained by structural conditions of persistence and shaped by an ethical horizon of irreversibility. The contribution is intentionally conceptual, offering a vocabulary to recognise and analyse the accumulation and distribution of ethical burden across the operational life of safety–critical technologies, and outlining directions for empirical engagement in domains where long-lived systems must be sustained under constraint.