A Unified Framework of Five Principles for AI in Society

Floridi, Luciano; Cowls, Josh

doi:10.1007/978-3-030-81907-1_2

Cited by 134Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)Digitalization, Law, and Regulation

A Unified Framework of Five Principles for AI in Society

Floridi, Luciano, Cowls, Josh·2021·Philosophical Studies Series

DOI 10.1007/978-3-030-81907-1_2

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Floridi's framework for the ethical use of AI, proposing five core principles (beneficence, non-maleficence, autonomy, justice and explicability), is referred to by most national policies on AI as a foundation.
“Floridi (2021)'s framework for the ethical use of AI, which proposed the 5 core principles of 'beneficence, non-maleficence, autonomy, justice and explicability' , is referred to by most national policies on AI as a foundation to further develop on.”
From A comprehensive AI policy education framework for university teaching and learning (2023) · cites this paper as Floridi, 2021

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Authors: Floridi, L., & Cowls, J.
Affiliations: University of Oxford (GB)
Corresponding author: Floridi, Luciano
ORCID: Floridi, Luciano
Cowls, Josh
Venue: Philosophical Studies Series
Publisher: Springer International Publishing
Published: 2021
Pages: 5-17
ISSN: 0921-8599 (ISSN-L)
2542-8349
DOI: 10.1007/978-3-030-81907-1_2
OpenAlex: W4231586238
Cited by: 134
References: 15
Citations by year: 2026: 17 · 2025: 38 · 2024: 25 · 2023: 26 · 2022: 25 · 2021: 2 · 2020: 1
FWCI: 81.31
Type: book chapter
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Philosophical studies series (publishedVersion)
Funders: Engineering and Physical Sciences Research Council (EP/N023013/1)
Topics: Social Sciences › Safety Research › Ethics and Social Impacts of AI
Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Social Sciences › Law › Digitalization, Law, and Regulation
Keywords: AI ethics, beneficence, non-maleficence, autonomy, justice, explainability, accountability, intelligibility, bioethics, societal impact of AI

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