Responsibility-Aware Decision System (RADS): A Second-Order Reflection Framework

Responsibility-Aware Decision System (RADS): A Second-Order Reflection Framework This artifact presents the Responsibility-Aware Decision System (RADS), a structured reflection and questioning framework for high-impact human decision contexts. RADS does not provide recommendations, predictions, or automated decisions. Instead, it operates as a second-order reference system that separates formal correctness from responsibility and potential impact. The system is designed to surface implicit assumptions, plausible systemic effects, and unresolved uncertainties while preserving full human decision authority. The framework follows a fail-closed principle: missing or unclear information is explicitly marked and translated into questions rather than silently inferred. RADS performs no scoring, profiling, or surveillance, requires no personal data, and is designed to be compatible with data-protection and human-oversight requirements. RADS is intended as a pedagogical and analytical contribution to decision integrity, enabling reflective comparison between different lines of reasoning without replacing professional judgment.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-21
DOI
https://doi.org/10.5281/zenodo.18006176
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Responsibility-Aware Decision System (RADS): A Second-Order Reflection Framework

W. H. Brueckner
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Responsibility-Aware Decision System (RADS): A Second-Order Reflection Framework

W. H. Brueckner
article en

Abstract

Responsibility-Aware Decision System (RADS): A Second-Order Reflection Framework This artifact presents the Responsibility-Aware Decision System (RADS), a structured reflection and questioning framework for high-impact human decision contexts. RADS does not provide recommendations, predictions, or automated decisions. Instead, it operates as a second-order reference system that separates formal correctness from responsibility and potential impact. The system is designed to surface implicit assumptions, plausible systemic effects, and unresolved uncertainties while preserving full human decision authority. The framework follows a fail-closed principle: missing or unclear information is explicitly marked and translated into questions rather than silently inferred. RADS performs no scoring, profiling, or surveillance, requires no personal data, and is designed to be compatible with data-protection and human-oversight requirements. RADS is intended as a pedagogical and analytical contribution to decision integrity, enabling reflective comparison between different lines of reasoning without replacing professional judgment.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.