The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Establishing the rules for building trustworthy AI
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“AI presents a range of potential future concerns for qualitative research due to its rapid technological advancement, novelty, and social context (Floridi, 2019; McCradden et al., 2020).”
From Quality Criteria: General and Specific Guidelines for Qualitative Approaches in Psychology Research. A Concise Guide for Novice Researchers and Reviewers (2024) · cites this paper as Floridi, 2019
In the citing paper
“The EC has provided seven different criteria on the basis of which trustworthiness can be proven [13], [14] and these rules were formulated on the basis of three main criteria which are to ensure the transparency, reliability and for the protection of data in models [14].”
From A Review of Trustworthy and Explainable Artificial Intelligence (XAI) (2023) · cites this paper as [13]
In the citing paper
“This second requirement includes several functionalities all aligned with the prevention of unintentional harm and the minimization of the consequences of intentional harm . These include the resilience of AI-based systems (to attacks and security), ensuring fallback plans (in case something goes wrong), general safety, and being accurate, reliable and reproducible.”
From Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023) · cites this paper as [28]
In the citing paper
“Robustness and safety refer to the need of AI systems to be secure, reliable and robust enough to errors and/or inconsistencies in all phases of the life cycle [28].”
From Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023) · cites this paper as [28]
In the citing paper
“However, it is becoming increasingly evident that AI is not the 'magic bullet' some would like to believe it is and that AI, just like any other technology, will not only bring forth many benefits but will also be accompanied with a variety of novel ethical, legal, and social challenges (Floridi 2019;Floridi et al. 2018).”
From Trustworthy artificial intelligence (2021) · cites this paper as Floridi 2019
Citations
Cites
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774
Self-citationSoft ethics, the governance of the digital and the General Data Protection Regulation
Floridi, L. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2018.0081 · Cited by 234
Self-citationSome Moral and Technical Consequences of Automation—A Refutation
Samuel, A. L. (1960) · Science · doi:10.1126/science.132.3429.741 · Cited by 98
Glaspell, S. (1922) · Cited by 64
Cited by
Sorted by citations
Items 301–396 of 396
Aware Adoption of AI: from Potential to Reusable Value.Preprint
Angelelli, M., & Gervasi, M. (2021) · arXiv (Cornell University)
Aware Adoption of Artificial Intelligence and Big Data: a Value Framework for Reusable Knowledge.Preprint
Angelelli, M., & Gervasi, M. (2021) · arXiv (Cornell University)
Fulton, R., Fulton, D., & Kaplan, S. (2022) · International Journal of Artificial Intelligence & Applications · doi:10.5121/ijaia.2022.13307
Cubber, G. D., & Schneider, F. E. (2022) · Springer eBooks · doi:10.1007/978-3-642-41610-1_219-1
A Tutorial on Domain Generalization
Wang, J., Li, H., Pan, S. J., & Xie, X. (2023) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3539597.3572722
Digitale Phänotypisierung und künstliche Intelligenz
Harrer, M., Terhorst, Y., Baumeister, H., & Ebert, D. D. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_27
Entrepreneurship in Africa and Media Education in Higher Education
Simone, G. D., Kidiamboko, S., & Todino, M. D. (2023) · IUL Research · doi:10.57568/iulresearch.v4i7.377
V. 4 N. 7 (2023): Esperienze, strumenti e ambienti per la didattica immersiva
Research, I. (2023) · IUL Research · doi:10.57568/iulresearch.v4i7.489
Floridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0009
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0001
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0004
Self-citationMapping the Ethics of Algorithms
Floridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0007
Self-citationHow to Deliver a Good AI Society
Floridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0010
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0007
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0008
Self-citationList of Most Common Abbreviations and Acronyms
Floridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0011
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0011
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0010
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0009
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.002.0005
Self-citationFloridi, L. (2023) · Oxford University Press eBooks · doi:10.1093/oso/9780198883098.003.0013
Self-citationImproving Fairness via Intrinsic Plasticity in Echo State Networks
Ceni, A., Bacciu, D., Caro, V. D., Gallicchio, C., & Oneto, L. (2023) · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · doi:10.14428/esann/2023.es2023-90
Digital Services and Algorithmic Discrimination
Tommasi, S. (2023) · SpringerBriefs in law · doi:10.1007/978-3-031-43640-6_3
The Ethical Evaluation Method of Algorithmic Behavior Based on Computational Experiments
Chen, F., Xue, X., & Wang, X. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-7022-3_43
Utilizations of AI in Cryptography
Meera, S., Kumar, S. D., Sharmikha Sree, R., A., K. R., & Deepika, R. (2024) · Advances in information security, privacy, and ethics book series · doi:10.4018/979-8-3693-4159-9.ch004
Towards Trustworthy Reinforcement Learning-based Resource Management in Beyond 5G
Pérez-Romero, J., Sallent, O., Vilà, I., Kartsakli, E., Tuna, Ö. F., Mohalik, S. K., & Tao, X. (2024) · Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) · doi:10.1109/eucnc/6gsummit60053.2024.10597001
Kemmerzell, N., & Schreiner, A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70893-0_10
Poncibò, C. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009483599.023
Application and Regulation of AI
DiMatteo, L. A., Poncibò, C., & Howells, G. G. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009483599.021
Ascertaining trustworthiness of AI systems in telecommunications
Sen, R., Vasudevan, S., Britto, R., & Prasath, M. (2024) · ITU Journal on Future and Evolving Technologies · doi:10.52953/wibx7049 · Cited by 1
Assessing European Union Member States’ Implementation of the Artificial Intelligence Act
Costa, H., & Mendonça, J. (2025) · Springer proceedings in business and economics · doi:10.1007/978-3-031-72494-7_24
Ethical issues in data science: a special case study on K-Means clustering
Bishnu, P. S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33498-6.00007-8
Multilevel Modeling of Training Needs in Artificial Intelligence
Distefano, V., Maggio, S., & Iaco, S. D. (2025) · Social Indicators Research · doi:10.1007/s11205-025-03544-7
Quantitative risk assessment and risk control measure definition of a periodically unattended bridge
Yıldız, M., Burmeister, H.-C., & Constapel, M. (2025) · Journal of Marine Engineering & Technology · doi:10.1080/20464177.2025.2488578
Keleş, Ö. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-5623-4.ch005
Ramli, M. S. B. (2025) · Research Square · doi:10.21203/rs.3.rs-6878190/v1
Alaali, H. M. H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5315167
Gomes, P. M., & Cardoso, T. J. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1534-8.ch006
Business Ethics As a Competitive Advantage in the Era of Digital Technologies
Martínez, M. D. L. L. C. (2025) · Springer eBooks · doi:10.1007/978-3-031-90794-4_13
Marinho, M. E. P., Caldas, C. O. L., & de Aguiar, T. C. L. (2025) · Novos Estudos Jurídicos · doi:10.14210/nej.v30n1.p103-129
Testing and Experimentation Facility for AI Decision Support Systems for Energy Solutions
Mouzakitis, S., Karakolis, V., Pelekis, S., Pountridis, T., Tzortzis, Α. M., & Askounis, D. (2025) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice/itmc65658.2025.11106631
A Path Toward Collective Superintelligence: AGI, CMI and Human-AI CollaborationPreprint
Wedel, K. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5373169
Xiong, M., Wang, Y., & Olya, H. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80262-963-720251009
Peng, T., Xiang, D., Zhang, Z., Jiang, B., Nie, B., Shi, F., Li, D., Wang, C., Zhu, W., Cai, J., et al. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131794
LOUKILI, O., BAGHAD, I., Abouzahir, H., & Nya, S. (2025) · Moroccan Forensic & Law Journal · doi:10.63126/mzbq4150
Artificial intelligence/machine learning in the management of diabetes mellitus
Sonia, T. A., & Sharma, C. P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30272-5.00010-x · Cited by 1
Exploring AI Adoption in Regional HEIs: Faculty Readiness and Use in Azerbaijan
Isfandiyarova, U., Ismayilova, P. M., & Alizada, N. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-07373-0_14
Yang, Q., Du, X., Liu, X., & Ren, Z. (2025) · Information Communication & Society · doi:10.1080/1369118x.2025.2581013
Future Directions and Emerging Issues in AI Ethics
Ramachandran, M. (2025) · Springer eBooks · doi:10.1007/978-981-95-2909-4_13
Disinformation, misinformation, and the crisis of trust in AI-generated content
Poibeau, T. (2025) · Ubiquity Press eBooks · doi:10.5334/bde.i
Unpacking Ethical Risks in Financial AI
Ghatak, A., & Nagraj, P. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6587-9.ch002
Zakershahrak, M. (2025) · Springer eBooks · doi:10.1007/978-981-97-8440-0_72-1
Ethical Considerations and Data Privacy in AI-Driven Learning Environments
Vetrivel, S. C., Vidhyapriya, P., Gunasekar, T., Arun, V. P., & Sabareeshwari, V. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3561-2.ch014
Enhanced Framework for Automated University Questionnaire Creation
Jambula, S. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-8805-2.ch004
Avrupa Birliği’nin Yapay Zekâ Yönetiminde Normatif Aktörlüğünün Evrimi ve Sınırlılıkları
Yariş, Z. B. (2025) · İnsan ve Toplum Bilimleri Araştırmaları Dergisi · doi:10.15869/itobiad.1732124
Designing for Trustworthiness in AI-Based Fact-Checking Services
Gaye, L., Schild, A., & Lopez, E. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-13184-3_12
Optimizing Pedagogical Integrity Through AI Governance in Educational Ecosystems
Arunprakash, A., Muralidhar, L. B., Sathyanarayana, N., Pooja Kumari, N., & Shilpa, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4982-4.ch004 · Cited by 1
Gilardoni, F., Malla, M. I. M., Pertuz, D. O., & Gamarra, S. R. M. (2026) · Revista Innova Educación · doi:10.35622/j.rie.2026.01.006
Zukunftstrends im Online-Marketing 2025 in Deutschland
Diermann, M. (2026) · Springer eBooks · doi:10.1007/978-3-658-46709-8_95-1
Reconceptualising Artificial Intelligence in Education
Tran, D. L. A., & Gautier, F. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7462-8.ch004
Ethical Considerations in Human-Centered AI Design for Assistive Technologies
Jabeen, F., Rashid, M., Lashari, T. A., Lashari, S. A., Sultana, S., & Malik, A. W. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6038-6.ch002
Robust Learning for Medical Image Segmentation
Galati, F. (2024) · theses.fr (ABES) · doi:10.70675/49df4b56zc3d3z4169z8388zbcb5428e83ca
Data Privacy, Security, and Ethical Considerations in AI and Blockchain Adoption
Ahmad, M., Jamal, T., Imran, M., Khan, L., & Yadav, S. K. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7600-4.ch005
Ethical AI in healthcare: insights from European policy discourses
Iannuzzi, E., Curiello, S., & Nigro, C. (2026) · BMC Medical Ethics · doi:10.1186/s12910-026-01403-9
The mirror ethic: reflection, relation, and responsibility
Lee, C. (2026) · AI and Ethics · doi:10.1007/s43681-026-01160-w
cand, T. A. B. (. D. (2026) · Research Square · doi:10.21203/rs.3.rs-9629890/v1
EXPLORING THE ETHICAL ROLE OF ARTIFICIAL INTELLIGENCE IN TOURISM: A FOCUS ON USER PREFERENCES
Vukojević, D. (2026) · Researching Economic Development and Entrepreneurship in Transition Economies (REDETE) · doi:10.63356/redete.2025.023
Kajala, A. (2026) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom70271.2026.11525580
Antitrust to Tech-Trust: Unveiling the Loopholes in AI-Driven Digital Competition Regulation
Rathore, S. K., Gokhru, S., Mathur, S., Sharma, D., Sharma, A., & Thakuriya, S. K. (2025) · International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM) · doi:10.1109/iipem65914.2025.11548073
Revisiting the machine unlearning ecosystem in vision: From afterthought to a lifecycle perspective
Marasco, E., Hicks, M., Slowik, B., Bourlai, T., & Ross, A. (2026) · Image and Vision Computing · doi:10.1016/j.imavis.2026.106059
Role of AI in Design Thinking and Innovation
Choudhary, S., & Gupta, K. L. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-0050-2.ch005
AI-Augmented Leadership and Digital Decision-Making Models
Roos, G. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-2541-3.ch002
Schmude, T., Pahr, D., Koesten, L. M., Möller, T. B., & Tschiatschek, S. (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3805689.3812271
Souza, A. K. D. S., Bandeira, C. P., & de Lima, E. V. G. (2026) · South American Sciences · doi:10.63330/sasciencesv6n2-038
Dale, V. J. L. B. (2026) · IVY ENBER SCIENTIFIC JOURNAL · doi:10.57108/iesj.2026.6-2.4
inteligencia artificial, La inteligencia artificial y su impacto en la sociedad
Soler, L. C. T., & Castro, Y. S. Y. (2026) · Revista Educ ção Científica · doi:10.46616/rce.v12i18.168
Alwaqdani, M. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14095-w
Human Resource Management and Artificial Intelligence
BERDİBEK, U., & GÜNDÜZ, K. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-4099-8.ch005
Ethical and Privacy Concerns in Intelligent Digital Systems
Thoker, Z. A., & Marwaha, L. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-8755-0.ch005
Mendonça, A. M. B., & Alvés, F. (2026) · World sustainability series · doi:10.1007/978-3-032-22076-9_41
A polyline searching-driven evolutionary AI for disease detection of medical imaging data
Wang, Y., Wang, L., Wang, C., & Peng, T. (2026) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ae95ac
A Safety-Orchestrated Architecture for Large Language Models-Based Remote Healthcare Guidance
Hoang, M. L., Matrella, G., & Ciampolini, P. (2026) · IEEE International Conference on Software Architecture Companion (ICSA-C) · doi:10.1109/icsa-c68850.2026.00025
Financial Literacy and AI: An Integrated Framework Grounded in Catholic Social Teaching
Calef, A., & Roncella, A. (2026) · Sustainable finance · doi:10.1007/978-3-032-29188-2_5
Hasmawaty, A. R., Amin, Z., Ali, N. M., & Zinaida, R. S. (2026) · Smart Cities · doi:10.3390/smartcities9100174
Zhorzholiani, T. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1232-1.ch009
Chaudhary, B., & Ojha, A. (2026) · Philosophy of Translation · doi:10.1080/29984750.2026.2726216
Watfa, M. K., Audi, D., & Watfa, W. (2026) · Risk sciences. · doi:10.1016/j.risk.2026.100064
Tillitsverdig kunstig intelligens i forvaltningen
Henden, E. (2026) · Tidsskrift for samfunnsforskning · doi:10.18261/tfs.67.3.3
Offline Policy Evaluation and Learning with Harm Constraints
Chaoge, J., Yang, Q., Li, J., & Wu, P. (2026) · Entropy · doi:10.3390/e28101058
PhD, F. Y. A. (2026) · European Scientific Journal ESJ · doi:10.19044/esj.2026.v22n25p32
Vallejos, E. P., Portillo, V., French, B., Dowthwaite, L., Creswich, H., & Santos, E. V. (2026) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer21100361
A light framework for AI ethics
Kuo, H.-J. (2026) · AI and Ethics · doi:10.1007/s43681-026-01452-1
The Algorithm Is a Woman: How Feminized Futures Are Coded into Precarity and Promise
Mainaly, S. H. (2026) · Merits · doi:10.3390/merits6040033
An ethical framework for generative AI in marketing to vulnerable audiences
Amirova, M., Mirsakhatov, A., & Akhmetova, Z. (2026) · AI and Ethics · doi:10.1007/s43681-026-01430-7
Metadata
- Authors
- Floridi, L.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Floridi, Luciano
- ORCID
- Floridi, Luciano
- Venue
- Nature Machine Intelligence
- Published
- 2019-05-07
- Volume
- 1
- Issue
- 6
- Pages
- 261-262
- ISSN
- 2522-5839 (ISSN-L)
- OpenAlex
- W2944176689
- Cited by
- 394
- References
- 5
- Citations by year
- 2026: 57 · 2025: 70 · 2024: 52 · 2023: 102 · 2022: 51 · 2021: 41 · 2020: 13 · 2019: 8
- FWCI
- 49.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Machine Intelligence (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- trustworthy AI, AI ethics guidelines, European Commission, responsible AI development, AI regulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
