Skip to content

When is AI-mediated institutional action ethically warranted? A feasibility-first framework for admissible-state reasoning

Sep 2026 · AI and Ethics · Vol 6 · 0 citations · 46 references
Ethics and Social Impacts of AI

TL;DR

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 proposed AI-mediated action.

View source

Similar papers

Open access Sep 2026

Before agentic AI scales in government: the democratic authorization gap

This Perspective introduces the democratic authorization gap, defined as a break or attenuation in the demonstrable chain connecting legally and democratically grounded public authority to actions selected, sequenced, or executed by an AI agent.

Mohammed Salah, Fadi Abdelfattah, Aisha Al Araimi et al. · 0 citations
Review Open access Sep 2026

Governing Agentic AI in the Administrative State: Human Oversight, Cybersecurity Accountability, and Risk in Autonomous Digital Systems

Agentic artificial intelligence (AI) shifts digital government from systems that generate recommendations toward networked systems that perceive, plan, communicate, invoke tools, initiate actions, and adapt with limited direct supervision. This article examines agentic AI as an intelligent cybersecurity governance prob...

Haris Alibašić · 0 citations
#explainable ai Review Sep 2026

From responsibility gaps to meaningful human control: an ethical and regulatory governance framework for intelligent AI systems

The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...

Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng · 0 citations
Open access Sep 2026

When responsibility cannot arise: algorithmic mediation and the preconditions of moral imputability

This paper argues that moral responsibility can fail under technologically mediated conditions in two structurally connected ways. First, agents may act from motivational states significantly shaped by external formative processes whose influence remains partially opaque to reflective awareness. Second, institutions ma...

Åke Elden · 0 citations

Related blog posts

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.