Aug 2026· Data & Policy· Vol 8· 0 citations· 48 references
TL;DR
The canvas presented is applicable to all public administrations within the European Union who wish to adopt AI in their operations, as it references to core European legislation such as General Data Protection Regulation, AI Act, Data Act, and Data Governance Act.
Abstract
Abstract This article presents the AI Ethics Canvas: a graphical tool to guide public administrations in mainstreaming ethics in the development, deployment, and monitoring of artificial intelligence (AI) tools for their own everyday use. Our canvas is the result of an action-research effort conducted within the scope of a project involving the Autonomous Province of Trento (PAT), Italy. We initially developed it based on existing ethical and legal frameworks. Then, we conducted qualitative interviews with PAT functionaries and technologists developing software on behalf of the PAT to ensure the canvas’s content was clear and applicable to public administration work. While originally elaborated for the PAT, the canvas presented is applicable to all public administrations within the European Union who wish to adopt AI in their operations, as it references to core European legislation such as General Data Protection Regulation, AI Act, Data Act, and Data Governance Act. The article presents the AI Ethics Canvas both as a final product and in its creation process to enhance transparency in AI ethics tool development.
This paper proposes the ARCHON framework, a set of ten requirements derived from the technical architecture of AI systems, to facilitate ethical compliance of scientific research for experts and practicioners engaging in roles such as proposal evaluators, project officers, ethics board members, or research administrato...
Jesus Manuel Benitez Baleato· Open Research Europe· 0 citations
The evidence shows strong convergence around fairness, transparency, privacy, accountability, human oversight, safety and inclusiveness, but weaker agreement on implementation, and an integrated framework for developing, deploying and monitoring AI systems in ways that are lawful, transparent, accountable, inclusive an...
Sunday Olusola Ladipo, Ifaka Queen Inazu· Direct Research Journal of E...· 0 citations
A comprehensive model for integrating ethical standards into the phases of the Software Development Life Cycle (SDLC) is proposed, founded on the pillars of fairness, transparency, accountability, and sustainability, offering practical recommendations aimed at developers, organizations, and policymakers.
A. Alaswad· Al-Farooq Journal of Science...· 0 citations
Three steps of the ENACT methodology are described and details three steps of the ENACT methodology and its potential and limitations for qualitative ethical risk assessment of AI in organisational settings are discussed.
N. Murashova, Leonora Onarheim Bergsjø, Heidi Dahl et al.· Nordic Machine Intelligence· 0 citations
The design and evaluation of an interactive self-assessment tool that enables interdisciplinary teams to assess ethical risks and opportunities throughout the lifecycle of AI-enabled projects and implications for the design of self-assessment tools are presented.
F. Young, Anna Lienbacher, Janne Mascha Beuthel et al.· Proceedings of the 14th Nord...· 0 citations
A theoretical framework for understanding explainability of XAI is offered and the key concepts related to the model are presented and can serve as a starting point for developing XAI-based library services.