@article{e97c4e24dc8547779d8e9ce4ff118b1f,
title = "Why dignity is a troubling concept for AI ethics",
abstract = "The concept of dignity is proliferating in ethical, legal, and policy discussions of AI, yet dignity is an elusive concept with multiple philosophical interpretations. The authors argue that the unspecific and uncritical employment of the notion of dignity can be counterproductive for AI ethics.",
author = "Jon Rueda and Txetxu Aus{\'i}n and Mark Coeckelbergh and \{del Valle\}, \{Juan Ignacio\} and Francisco Lara and Bel{\'e}n Liedo and \{Llorca Albareda\}, Joan and Heidi Mertes and Robert Ranisch and Raposo, \{Vera L{\'u}cia\} and Stahl, \{Bernd C.\} and Murilo Vila{\c c}a and \{de Miguel\}, {\'I}{\~n}igo",
note = "Funding Information: J.R., J.I.d.V., F.L., and J.L.A. thank the funding of the project AutAI (grant PID2022-137953OB-I00), supported by the State Research Agency of the Spanish Government (MICIU/ AEI /10.13039/501100011033). F.L. is also funded by ERDF, EU. B.L. acknowledges funding from Spanish Ministry of Science and Innovation through project VAE Value-Awareness Engineering TED2021-131295B-C31. H.M. has received funding from the European Research Council ( ERC ) under the European Union\textbackslash{}u2019s Horizon 2020 research and innovation programme (grant agreement no. 919841\textbackslash{}u2014DIME). R.R. thanks Digital Medical Ethics Network (DiMEN) funded by VolkswagenStiftung (grant number 9B233). B.C.S. was supported by the Engineering and Physical Sciences Research Council (Horizon Digital Economy Research \textbackslash{}u2018Trusted Data Driven Products\textbackslash{}u2019: EP/T022493/1) and (AI UK: Creating an International Ecosystem for Responsible AI Research and Innovation: EP/Y009800/1), the European Union (STRATEGIC project, GA no. 101145644), and by UK Research and Innovation ( UKRI ) under the UK government\textbackslash{}u2019s Horizon Europe Guarantee funding scheme (10123282). M.V. thanks the Conselho Nacional de Desenvolvimento Cient\textbackslash{}u00EDfico e Tecnol\textbackslash{}u00F3gico (CNPq): APQ/PR\textbackslash{}u00D3-HUMANIDADES (421523/2022-0); Chamada Universal (421419/2023-7); Bolsista de Produtividade em Pesquisa - PQ2 (315804/2023-8). I.d.M. acknowledges the support of the Basque Government , Ayudas a grupos de investigaci\textbackslash{}u00F3n, Grupo de Investigaci\textbackslash{}u00F3n, IT 1541-22, and research project GODAS, PID2022-137140OB-I00, funded by MCIN/ AEI /10.13039/501100011033/ FEDER , UE. We also thank the audience of Rio de Janeiro for their insightful comments on a previous presentation of this work. Funding Information: J.R.'s work is funded by the European Commission \textbackslash{}u2013 NextGenerationEU, through Momentum CSIC Programme: Develop Your Digital Talent. J.R., J.I.d.V., F.L., and J.L.A. thank the funding of the project AutAI (grant PID2022-137953OB-I00), supported by the State Research Agency of the Spanish Government (MICIU/AEI/10.13039/501100011033) and ERDF, EU. T.A. thanks the funding of TAILOR: Training the next generation of researchers that will bring rehab robots to clinical practice HORIZON-MSCA Doctoral Networks program (grant agreement 101168724) and empoderDAT: Empoderamiento del paciente, espacio de datos de salud e inteligencia artificial como pilares del nuevo sistema sanitario Fundaci\textbackslash{}u00F3n S\textbackslash{}u00E9neca-Agencia de Ciencia y Tecnolog\textbackslash{}u00EDa de la Regi\textbackslash{}u00F3n de Murcia (grant number 22041/PI/22). B.L. and T.A. acknowledge funding from Spanish Ministry of Science and Innovation through project VAE Value-Awareness Engineering TED2021-131295B-C31. J.L.A. has also benefited from a research contract FPU (FPU22/03178), funded by the Spanish Ministry of Science. H.M. has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 919841\textbackslash{}u2014DIME). R.R. thanks Digital Medical Ethics Network (DiMEN) funded by VolkswagenStiftung (grant number 9B233). B.C.S. was supported by the Engineering and Physical Sciences Research Council (Horizon Digital Economy Research \textbackslash{}u2018Trusted Data Driven Products\textbackslash{}u2019: EP/T022493/1) and (AI UK: Creating an International Ecosystem for Responsible AI Research and Innovation: EP/Y009800/1), the European Union (STRATEGIC project, GA no. 101145644), and by UK Research and Innovation (UKRI) under the UK government's Horizon Europe Guarantee funding scheme (10123282). M.V. thanks the Conselho Nacional de Desenvolvimento Cient\textbackslash{}u00EDfico e Tecnol\textbackslash{}u00F3gico (CNPq): APQ/PR\textbackslash{}u00D3-HUMANIDADES (421523/2022-0); Chamada Universal (421419/2023-7); Bolsista de Produtividade em Pesquisa - PQ2 (315804/2023-8). I.d.M. acknowledges the support of the Basque Government, Ayudas a grupos de investigaci\textbackslash{}u00F3n, Grupo de Investigaci\textbackslash{}u00F3n, IT 1541-22, and research project GODAS, PID2022-137140OB-I00, funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. We also thank the audience of Rio de Janeiro for their insightful comments on a previous presentation of this work. Publisher Copyright: {\textcopyright} 2025 The Authors",
year = "2025",
month = mar,
day = "14",
doi = "10.1016/j.patter.2025.101207",
language = "English",
volume = "6",
journal = "Patterns",
issn = "2666-3899",
publisher = "Cell Press",
number = "3",
}