Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector: papers linking to it

Zenodo · Text · 2019 · doi.org/10.5281/zenodo.3240529

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector (https://doi.org/10.5281/zenodo.3240529), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

11 papers in the tracked journals link to the Zenodo dataset Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector in their Crossref records, the first in 2021; most of them (3) in 2024.
By category: AI (7), Health Economics and Policy (1) and Information Systems (1); the journals with the most are AI & Society (6), Health Economics Review (1) and Information Systems Frontiers (1).

By year#

20212026

Papers linking to Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector by publication year
Year	Papers
2021	2
2022	1
2023	1
2024	3
2025	2
2026	2

Journals#

Journals whose papers link to Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector most
Journal	Papers
AI & Society	6
Health Economics Review	1
Information Systems Frontiers	1
Artificial Intelligence Review	1
AMS Review	1

Papers linking to Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-08-17	Human-in-the-loop machine learning: a state of the art	Artificial Intelligence Review	Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos et al.	1,055	cites it
2021-10-27	Ethics-based auditing of automated decision-making systems: intervention points and policy implications	AI & Society	Jakob Mökander, Maria Axente	63	cites it
2023-01-26	Creating meaningful work in the age of AI: explainable AI, explainability, and why it matters to organizational designers	AI & Society	Kristin Wulff, Hanne O. Finnestrand	35	cites it
2024-12-26	Competing narratives in AI ethics: a defense of sociotechnical pragmatism	AI & Society	David Watson, Jakob Mökander, Luciano Floridi	29	cites it
2021-05-06	Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries	Information Systems Frontiers	Ramzi El-Haddadeh, Adam Mohamedali Fadlalla, Nitham Mohammed Hindi	27	cites it
2025-11-16	Ethical considerations for teaching with artificial intelligence: a scoping review in medical education settings	International Journal of Educational Technology in Higher Education	Amani Itani, Susie L. Gronseth, Salma M. A. Musaad et al.	25	cites it
2024-12-15	AI through the looking glass: an empirical study of structural social and ethical challenges in AI	AI & Society	Mark Ryan, Nina de Roo, Hao Wang et al.	22	cites it
2025-11-10	AI washing: A conceptual exploration	AMS Review	Samer Elhajjar, Omar S. Itani	19	cites it
2024-07-25	AI and the iterable epistopics of risk	AI & Society	Andy Crabtree, Glenn McGarry, Lachlan Urquhart	3	cites it
2026-03-18	Health economics evaluation of artificial intelligence in the field of oncology: a scoping review	Health Economics Review	Hein Minn Tun, Hanif Abdul Rahman, Lin Naing et al.	3	cites it
2026-10-03	The 3×2A framework: a profile-based interpretive approach to human–AI coevolution and adaptive governance	AI & Society	Valeriu Ungureanu	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3240529

@misc{scholar4ai-code-zenodo-3240529,
  author = {{Scholar4AI}},
  title = {Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-3240529}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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