As artificial intelligence systems increasingly inform or make decisions with severe consequences for individuals, including clinical diagnosis, flight control, credit and lending, and criminal justice risk assessment, the question of how and when a human being should remain involved in that decision has become a centr...
Bharathvamsi Reddy Munisif· International journal of res...· 0 citations
This framework extends familiar themes in bounded rationality, active inference and safe reinforcement learning by treating authority, contestability and oversight cost as first-class ethical variables rather than external governance add-ons.
A feasibility-first framework for admissible-state reasoning within Deterministic Systems Intelligence (DSI) is developed, which distinguishes continuity with earlier DSI release-governance work from a further theoretical question: whether an institution is justified in exercising consequential authority through a prop...
The frontline of healthcare is where formal policy becomes a human decision. Its defining feature has long been discretion, namely, situated judgment under scarcity, uncertainty, and unequal need. This Perspective argues that agentic artificial intelligence may do more than automate tasks or support professional judgme...
Mohammed Salah, Fadi Abdelfattah, Aisha Al Araimi et al.· Frontiers in Human Dynamics· 0 citations
Artificial intelligence (AI) alignment is often framed as the problem of making a model reliably pursue human intentions or values. That work is indispensable, but deployed systems also raise a governance problem: who controls information, private context, correction, escalation, and action? This conceptual article pro...
Markus Wagner· AI and Ethics· 0 citations
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