Toward a responsible and ethical authorization to operate: A case study in AI consulting

The US federal government mandates all technologies receive an Authorization to Operate (ATO). The ATO serves as a testament to the technology's security compliance. This process underscores a fundamental belief: technologies must conform to established security norms. Yet, the security-centric view does not include ethical and responsible AI. Unlike security parameters, ethical and responsible AI lacks a standardized framework for evaluation. This leaves a critical gap in AI governance. This paper presents our consulting experiences in addressing such a gap and introduces a pioneering ATO assessment instrument. The instrument integrates ethical and responsible AI principles into assessment decision-making. We delve into the instrument's design, shedding light on unique attributes and features. Furthermore, we discuss emergent best practices related to this ATO instrument. These include potential decision pitfalls of interest to practitioners and policymakers alike. Looking ahead, we envision an evolved version of this ethical and responsible ATO. This future iteration incorporates continuous monitoring capabilities and novel ethical measures. Finally, we offer insights for the AI community to evaluate their AI decision-making.

Authors

Institutions

Publication Details

Journal
Journal of Responsible Technology
Published
2025-07-24
DOI
https://doi.org/10.1016/j.jrt.2025.100130
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

Toward a responsible and ethical authorization to operate: A case study in AI consulting

G. Owen Schaefer, Jason M. Pittman
Journal of Responsible Technology
Ethics and Social Impacts of AI
article

Toward a responsible and ethical authorization to operate: A case study in AI consulting

G. Owen Schaefer, Jason M. Pittman
article en

Abstract

The US federal government mandates all technologies receive an Authorization to Operate (ATO). The ATO serves as a testament to the technology's security compliance. This process underscores a fundamental belief: technologies must conform to established security norms. Yet, the security-centric view does not include ethical and responsible AI. Unlike security parameters, ethical and responsible AI lacks a standardized framework for evaluation. This leaves a critical gap in AI governance. This paper presents our consulting experiences in addressing such a gap and introduces a pioneering ATO assessment instrument. The instrument integrates ethical and responsible AI principles into assessment decision-making. We delve into the instrument's design, shedding light on unique attributes and features. Furthermore, we discuss emergent best practices related to this ATO instrument. These include potential decision pitfalls of interest to practitioners and policymakers alike. Looking ahead, we envision an evolved version of this ethical and responsible ATO. This future iteration incorporates continuous monitoring capabilities and novel ethical measures. Finally, we offer insights for the AI community to evaluate their AI decision-making.

Journal of Responsible TechnologyVol. 23
Booz Allen Hamilton (United States) (US), University of Maryland Global Campus (US)
Openalex Percentile: Top 83%
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.

Toward a responsible and ethical authorization to operate: A case study in AI consulting — G. Owen Schaefer, Jason M. Pittman · Journal of Responsible Technology (2025) | TGRS Research Map | TGRS