---
title: "Understanding artificial intelligence ethics and safety…"
description: "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."
url: https://scholar4ai.com/code/zenodo-3240529
markdown_url: https://scholar4ai.com/code/zenodo-3240529.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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… (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# 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

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.

- Zenodo
- Text
- 2019
- https://doi.org/10.5281/zenodo.3240529

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/ai-society.md) | 6 |
| [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 1 |
| [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |
| [AMS Review](https://scholar4ai.com/journals/ams-review.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s10462-022-10246-w) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 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](https://doi.org/10.1007/s00146-021-01286-x) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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](https://doi.org/10.1007/s00146-023-01633-0) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Kristin Wulff, Hanne O. Finnestrand | 35 | cites it |
| 2024-12-26 | [Competing narratives in AI ethics: a defense of sociotechnical pragmatism](https://doi.org/10.1007/s00146-024-02128-2) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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](https://doi.org/10.1007/s10796-021-10140-w) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 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](https://doi.org/10.1186/s41239-025-00563-9) | [International Journal of Educational Technology in Higher Education](https://scholar4ai.com/journals/international-journal-of-educational-technology-in-higher-education.md) | 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](https://doi.org/10.1007/s00146-024-02146-0) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Mark Ryan, Nina de Roo, Hao Wang et al. | 22 | cites it |
| 2025-11-10 | [AI washing: A conceptual exploration](https://doi.org/10.1007/s13162-025-00323-y) | [AMS Review](https://scholar4ai.com/journals/ams-review.md) | Samer Elhajjar, Omar S. Itani | 19 | cites it |
| 2024-07-25 | [AI and the iterable epistopics of risk](https://doi.org/10.1007/s00146-024-02021-y) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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](https://doi.org/10.1186/s13561-026-00751-x) | [Health Economics Review](https://scholar4ai.com/journals/health-economics-review.md) | 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](https://doi.org/10.1007/s00146-026-03352-8) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).