ArticleFrontiers in artificial intelligence2023
The assessment list for trustworthy artificial intelligence: A review and recommendations.
Article in Frontiers in artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review.BMC medicine · 2024Pooled it
- Ethical Considerations on Artificial Intelligence, Health and Health Care. All That Glisters Is Not Gold.European journal of clinical investigation · 2026Review
- The legalization of international instruments: a hybrid RAG scoring framework based on chain-of-thought prompting.Frontiers in artificial intelligence · 2026Article
- Radiology AI and sustainability paradox: environmental, economic, and social dimensions.Insights into imaging · 2025Article
- Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure.Insights into imaging · 2025Article
- Clinical Applications of Artificial Intelligence (AI) in Human Cancer: Is It Time to Update the Diagnostic and Predictive Models in Managing Hepatocellular Carcinoma (HCC)?Diagnostics (Basel, Switzerland) · 2025Review
- Augmented intelligence with voice assistance and automated machine learning in Industry 5.0.Frontiers in artificial intelligence · 2025Article
- How the First Medical Imaging Cancer Atlas EUCAIM Was Populated: The Experience of a Reference Hospital.Open research Europe · 2025Article
- Testing the applicability of a governance checklist for high-risk AI-based learning outcome assessment in Italian universities under the EU AI act annex III.Frontiers in artificial intelligence · 2025Article
- Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions.Journal of medical Internet research · 2024Article
- Service Quality and Residents' Preferences for Facilitated Self-Service Fundus Disease Screening: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Establishing and evaluating trustworthy AI: overview and research challenges.Frontiers in big data · 2024Review
- Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias.Frontiers in artificial intelligence · 2024Article
- Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool.Journal of medical Internet research · 2023Article
- ALTAI Tool for Assessing AI-Based Technologies: Lessons Learned and Recommendations from SHAPES Pilots.Healthcare (Basel, Switzerland) · 2023Article
- Actionable Principles for Artificial Intelligence Policy: Three Pathways.Science and engineering ethics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In July 2020, the European Commission's High-Level Expert Group on AI (HLEG-AI) published the Assessment List for Trustworthy Artificial Intelligence (ALTAI) tool, enabling organizations to perform self-assessments of the fit of their AI systems and surrounding governance to the "7 Principles for Trustworthy AI." Prior research on ALTAI has focused primarily on specific application areas, but there has yet to be a comprehensive analysis and broader recommendations aimed at proto-regulators and industry practitioners. This paper therefore starts with an overview of this tool, including an assessment of its strengths and limitations. The authors then consider the success by which the ALTAI tool is likely to be of utility to industry in improving understanding of the risks inherent in AI systems and best practices to mitigate such risks. It is highlighted how research and practices from fields such as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.