@article{2026:chappell:trust_and_,
title = {Trust and Responsibility in AI: An Interdisciplinary Social-Sector Perspective},
year = {2026},
note = {The rapid adoption of artificial intelligence has intensified debates
about responsibility, ethics, and trust. While regulatory frameworks
and organizational ethics statements are proliferating, responsible AI
is too often treated as compliance or reputation management rather
than an organizing principle of practice. This perspective argues that
social-sector organizations - including nonprofits, NGOs, and other
mission-driven institutions - offer an instructive lens for rethinking
responsible AI because they operate with structural vulnerability and
high trust dependence. Drawing on business ethics, organizational
theory, nonprofit and social-sector management, and human flourishing
scholarship, the paper proposes shifting from harm-avoidance toward
trust-centered, flourishing-oriented AI integration.},
journal = {Swiss Journal of Business},
pages = {72--76},
author = {Chappell, Nathan},
volume = {80},
number = {1}
}