Information Systems and Ethical AI Policy Development

AbstractThe growing use of Artificial Intelligence (AI) within Information Systems (IS) has created opportunities for innovation as well as serious ethical concerns. As algorithms become central to decision-making in both public and private sectors, questions about fairness, accountability, and transparency have become unavoidable. This paper explores how principles from Information Systems research can inform and strengthen ethical AI policy development. It reviews key dimensions of AI ethics, including data governance, algorithmic accountability, and institutional oversight. Building on recent scholarly discussions, a conceptual framework is proposed to connect IS principles with ethical policy design. The paper argues that ethical AI should not be treated as a separate regulatory issue but as an essential aspect of IS design, implementation, and management. Keywords: Artificial Intelligence, AI, Information Systems, IS, AI ethics, Ethical AI Policy, Data Governance, AI Human Oversight, Regulatory Alignment

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17352752
Primary Topic
Knowledge Societies in the 21st Century
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information Systems and Ethical AI Policy Development

Zenodo (CERN European Organization for Nuclear Research)
Knowledge Societies in the 21st Century
article

Information Systems and Ethical AI Policy Development

article en

Abstract

AbstractThe growing use of Artificial Intelligence (AI) within Information Systems (IS) has created opportunities for innovation as well as serious ethical concerns. As algorithms become central to decision-making in both public and private sectors, questions about fairness, accountability, and transparency have become unavoidable. This paper explores how principles from Information Systems research can inform and strengthen ethical AI policy development. It reviews key dimensions of AI ethics, including data governance, algorithmic accountability, and institutional oversight. Building on recent scholarly discussions, a conceptual framework is proposed to connect IS principles with ethical policy design. The paper argues that ethical AI should not be treated as a separate regulatory issue but as an essential aspect of IS design, implementation, and management. Keywords: Artificial Intelligence, AI, Information Systems, IS, AI ethics, Ethical AI Policy, Data Governance, AI Human Oversight, Regulatory Alignment

Zenodo (CERN European Organization for Nuclear Research)
University of the Cumberlands (US)
Openalex Percentile: Top 28%
Knowledge Societies in the 21st Century
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.

Information Systems and Ethical AI Policy Development · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS