Vitological Information Ethics: Toward Viability-Oriented Evaluation of Information

This article introduces the concept of Vitological Information Ethics as a complementary interdisciplinary framework for evaluating information from the perspective of system viability. While existing approaches to information ethics primarily focus on truthfulness, privacy, fairness, responsibility, and the ethical use of digital technologies, the proposed approach extends these perspectives by examining how information influences the preservation, restoration, coordination, adaptation, and long-term development of open systems. Particular attention is devoted to value-oriented information exchange, informational responsibility, cognitive coherence, and information quality as factors contributing to individual, organizational, societal, ecological, and technological viability. It is argued that viability may serve as a universal ethical criterion for assessing the long-term consequences of informational interactions across biological, social, organizational, technological, and artificial systems. Keywords Vitology; information ethics; viability; information quality; value-oriented information; informational responsibility; cognitive coherence; ethical communication; artificial intelligence; open systems; sustainable development; systems science; digital ethics; harmony.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-03
DOI
https://doi.org/10.5281/zenodo.21771343
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

Vitological Information Ethics: Toward Viability-Oriented Evaluation of Information

Serhii Hostiunin
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Vitological Information Ethics: Toward Viability-Oriented Evaluation of Information

Serhii Hostiunin
article en

Abstract

This article introduces the concept of Vitological Information Ethics as a complementary interdisciplinary framework for evaluating information from the perspective of system viability. While existing approaches to information ethics primarily focus on truthfulness, privacy, fairness, responsibility, and the ethical use of digital technologies, the proposed approach extends these perspectives by examining how information influences the preservation, restoration, coordination, adaptation, and long-term development of open systems. Particular attention is devoted to value-oriented information exchange, informational responsibility, cognitive coherence, and information quality as factors contributing to individual, organizational, societal, ecological, and technological viability. It is argued that viability may serve as a universal ethical criterion for assessing the long-term consequences of informational interactions across biological, social, organizational, technological, and artificial systems. Keywords Vitology; information ethics; viability; information quality; value-oriented information; informational responsibility; cognitive coherence; ethical communication; artificial intelligence; open systems; sustainable development; systems science; digital ethics; harmony.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Openalex Percentile: Top 6%
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.

Vitological Information Ethics: Toward Viability-Oriented Evaluation of Information — Serhii Hostiunin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS